vdjtools-1.2.1+git20190311/000755 001750 001750 00000000000 13525024557 016127 5ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/README.md000644 001750 001750 00000005640 13525023773 017412 0ustar00moellermoeller000000 000000 [![Build Status](https://travis-ci.org/mikessh/vdjtools.svg?branch=master)](https://travis-ci.org/mikessh/vdjtools) [![JitPack](https://jitpack.io/v/mikessh/vdjtools.svg)](https://jitpack.io/#mikessh/vdjtools) ## VDJtools A comprehensive analysis framework for T-cell and B-cell repertoire sequencing data. Compiled binaries are available from [here](https://github.com/mikessh/vdjtools/releases/latest). You can download them and execute as ```bash java -jar vdjtools.jar ... ``` Make sure that you've specified the full/correct path to jar file. In case of Java Heap Space exception, you can increase the JVM memory limit by adding ``-Xmx20G`` (for extra 20G) after the ``-jar`` argument. The software is cross-platform and requires Java v1.8+ to run and R to perform plotting. Easy installation on **MacOS/Linux** via [Homebrew](http://brew.sh/) or [Linuxbrew](http://linuxbrew.sh/): ```bash brew tap homebrew/science brew tap mikessh/repseq brew install vdjtools vdjtools CalcBasicStats ... ``` See [homebrew-repseq](https://github.com/mikessh/homebrew-repseq) for other RepSeq analysis software Homebrew installers. List of features and detailed documentation can be found at [ReadTheDocs](http://vdjtools-doc.readthedocs.io). Example datasets and shell scripts are provided in a separate [repository](https://github.com/mikessh/vdjtools-examples). ### Please cite VDJtools as: Shugay M et al. VDJtools: Unifying Post-analysis of T Cell Receptor Repertoires. [PLoS Comp Biol 2015; 11(11):e1004503-e1004503](http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1004503). ### Some recent publications where VDJtools was used: - Feng Y et al. A mechanism for expansion of regulatory T-cell repertoire and its role in self-tolerance. [Nature 2015; doi:10.1038/nature16141](http://www.nature.com/nature/journal/vaop/ncurrent/full/nature16141.html) - Britanova OV et al. Dynamics of Individual T Cell Repertoires: From Cord Blood to Centenarians. [J Immunol 2016; doi:10.4049/jimmunol.1600005](http://www.jimmunol.org/content/196/12/5005.short) - Joachims ML et al. Single-cell analysis of glandular T cell receptors in Sjögren’s syndrome. [JCI Insight 2016; doi:10.1172/jci.insight.85609](https://insight.jci.org/articles/view/85609) - Plitas G et al. Regulatory T cells exhibit distinct features in human breast cancer. [Immunity 2017; doi.org:10.1016/j.immuni.2016.10.032](http://www.sciencedirect.com/science/article/pii/S1074761316304435) - Izraelson M et al. Comparative Analysis of Murine T Cell Receptor Repertoires. [Immunology 2017; doi.org:10.1111/imm.12857](http://onlinelibrary.wiley.com/doi/10.1111/imm.12857/full) - Bolotin DA et al. Antigen receptor repertoire profiling from RNA-seq data. [Nat Biotech 2017; doi:10.1038/nbt.3979](https://www.nature.com/articles/nbt.3979) - Meng W et al. An atlas of B-cell clonal distribution in the human body. [Nat Biotech 2017; doi:10.1038/nbt.3942](https://www.nature.com/articles/nbt.3942)vdjtools-1.2.1+git20190311/travis.post.sh000644 001750 001750 00000005307 13525023773 020763 0ustar00moellermoeller000000 000000 VDJTOOLS="java -Xmx4G -jar ../build/libs/vdjtools-*.jar" cd aging_lite/ # basic analysis $VDJTOOLS CalcBasicStats -m metadata.txt out/0 $VDJTOOLS CalcSpectratype -m metadata.txt out/1 $VDJTOOLS CalcSegmentUsage -m metadata.txt -p -f age -n out/2 $VDJTOOLS PlotFancySpectratype A4-i125.txt.gz out/3 $VDJTOOLS PlotSpectratypeV A4-i125.txt.gz out/4 $VDJTOOLS PlotFancyVJUsage A4-i125.txt.gz out/5 # diversity estimates $VDJTOOLS PlotQuantileStats A4-i125.txt.gz out/6 $VDJTOOLS CalcDiversityStats -m metadata.txt out/7 $VDJTOOLS RarefactionPlot -m metadata.txt -f age -n -l sample.id out/8 # sample overlap $VDJTOOLS OverlapPair -p A4-i189.txt.gz A4-i190.txt.gz out/9 $VDJTOOLS CalcPairwiseDistances -m metadata.small.txt out/10 $VDJTOOLS ClusterSamples -p -f age -n -l sample.id out/10 out/10.age # sample operations and filtering $VDJTOOLS Decontaminate -m metadata.txt -c out/dec/ $VDJTOOLS Downsample -m metadata.txt -c -x 10000 out/ds/ $VDJTOOLS FilterNonFunctional -m metadata.txt -c out/nf/ $VDJTOOLS JoinSamples -p -m metadata.small.txt out/12 $VDJTOOLS PoolSamples -m metadata.small.txt out/13 # annotation $VDJTOOLS CalcCdrAaStats -m metadata.txt out/14 $VDJTOOLS Annotate -m metadata.txt out/annot/ $VDJTOOLS SegmentsToFamilies -s human -m metadata.txt out/s2f/ $VDJTOOLS CalcDegreeStats -m metadata.txt out/degstat/ # check all output files are generated cd out/ ls -lh flist=( '0.basicstats.txt' '1.spectratype.insert.wt.txt' '1.spectratype.ndn.wt.txt' '1.spectratype.nt.wt.txt' '2.segments.wt.J.pdf' '2.segments.wt.J.txt' '2.segments.wt.V.pdf' '2.segments.wt.V.txt' '3.fancyspectra.pdf' '3.fancyspectra.txt' '4.spectraV.wt.pdf' '4.spectraV.wt.txt' '5.fancyvj.wt.pdf' '5.fancyvj.wt.txt' '6.qstat.pdf' '6.qstat.txt' '7.diversity.strict.exact.txt' '7.diversity.strict.resampled.txt' '8.rarefaction.strict.pdf' '8.rarefaction.strict.txt' '9.paired.strict.summary.txt' '9.paired.strict.table.collapsed.pdf' '9.paired.strict.table.collapsed.txt' '9.paired.strict.table.txt' '9.strict.paired.scatter.pdf' '10.age.hc.aa.F.pdf' '10.age.mds.aa.F.pdf' '10.age.mds.aa.F.txt' '10.intersect.batch.aa.txt' '12.join.aa.summary.txt' '12.join.aa.table.txt' '12.join.aa.venn.pdf' '13.pool.aa.table.txt' '14.cdr3aa.stat.unwt.unnorm.txt' 'dec/metadata.txt' 'ds/metadata.txt' 'nf/metadata.txt' 'annot/metadata.txt' 's2f/metadata.txt' 'degstat/metadata.txt' ) for f in "${flist[@]}" do if [[ ! -s $f ]] then exit 1 fi donevdjtools-1.2.1+git20190311/doc/000755 001750 001750 00000000000 13525023773 016673 5ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/doc/overlap.rst000644 001750 001750 00000122031 13525023773 021074 0ustar00moellermoeller000000 000000 .. _overlap: Repertoire overlap analysis --------------------------- .. _OverlapPair: OverlapPair ^^^^^^^^^^^ Performs a comprehensive analysis of clonotype sharing for a pair of samples. Command line usage ~~~~~~~~~~~~~~~~~~ .. code-block:: bash $VDJTOOLS OverlapPair [options] sample1.txt sample2.txt output_prefix Parameters: +-------------+------------------------+------------+-----------------------------------------------------------------------------------------------------------------------------------------------------+ | Shorthand |      Long name      | Argument | Description | +=============+========================+============+=====================================================================================================================================================+ | ``-i`` | ``--intersect-type`` | string | Sample intersection rule. Defaults to ``strict``. See :ref:`common_params` | +-------------+------------------------+------------+-----------------------------------------------------------------------------------------------------------------------------------------------------+ | ``-t`` | ``--top`` | int | Number of top clonotypes to visualize explicitly on stack are plot and provide in the collapsed joint table. Should not exceed 100, default is 20 | +-------------+------------------------+------------+-----------------------------------------------------------------------------------------------------------------------------------------------------+ | ``-p`` | ``--plot`` | | Turns on plotting. See :ref:`common_params` | +-------------+------------------------+------------+-----------------------------------------------------------------------------------------------------------------------------------------------------+ | | ``--plot-area-v2`` | | Alternative plotting mode, clonotype CDR3 sequences are shown at plot sides and connected to corresponding areas with lines. | +-------------+------------------------+------------+-----------------------------------------------------------------------------------------------------------------------------------------------------+ | ``-h`` | ``--help`` | | Display help message | +-------------+------------------------+------------+-----------------------------------------------------------------------------------------------------------------------------------------------------+ Tabular output ~~~~~~~~~~~~~~ Two joint clonotype abundance tables with ``paired.[intersection type shorthand].table.txt`` and ``paired.[intersection type shorthand].table.collapsed.txt`` suffices are generated. Tables are written in :ref:`vdjtools_format`. Collapsed table contains rows corresponding to top N clonotypes and summary abundances for non-overlapping and hidden clonotypes. See :ref:`joint_table_structure` for a detailed description of table columns. A summary table (``paired.[intersection type shorthand].summary.txt`` suffix) containing information on sample overlap size, etc, is also provided. See tabular output in :ref:`CalcPairwiseDistances` section below for details. Graphical output ~~~~~~~~~~~~~~~~ A composite scatterplot plot having ``paired.[intersection type shorthand].scatter.pdf`` suffix is generated. The second plot file with ``.paired.[intersection type shorthand].table.collapsed.pdf`` suffix contains a clonotype stack area plot. .. figure:: _static/images/modules/intersect-pair-scatter.png :align: center :scale: 50 % **Clonotype scatterplot**. Main frame contains a scatterplot of clonotype abundances (overlapping clonotypes only) and a linear regression. Point size is scaled to the geometric mean of clonotype frequency in both samples. Scatterplot axes represent log10 clonotype frequencies in each sample. Two marginal histograms show the overlapping (red) and total clonotype (grey) abundance distributions in corresponding sample. Histograms are weighted by clonotype abundance, i.e. they display read distribution by clonotype size. .. figure:: _static/images/modules/intersect-pair-stack.png :align: center :scale: 50 % **Shared clonotype abundance plot**. Plot shows details for top 20 clonotypes shared between samples, as well as collapsed ("NotShown") and non-overlapping ("NonOverlapping") clonotypes. Clonotype CDR3 amino acid sequence is plotted against the sample where the clonotype reaches maximum abundance. -------------- .. _CalcPairwiseDistances: CalcPairwiseDistances ^^^^^^^^^^^^^^^^^^^^^ Performs an all-versus-all pairwise overlap for a list of samples and computes a set of repertoire similarity measures. At least 3 samples should be provided. Note that this is one of most the memory-demanding routines, as it will load all samples into memory at once (unless used with ``--low-mem`` option). Repertoire similarity measures include - Pearson correlation of clonotype frequencies, restricted only to the overlapping clonotypes .. math:: R_{ij} = \frac{\sum^N_{k=1} \left(\phi _{ik} - \bar{\phi _{i}} \right ) \left(\phi _{jk} - \bar{\phi _{j}} \right )}{\sqrt{\sum^N_{k=1} \left(\phi _{ik} - \bar{\phi _{i}} \right )^2 \sum^N_{k=1} \left(\phi _{jk} - \bar{\phi _{j}} \right )^2}} where :math:`k=1..N` are the indices of overlapping clonotypes, :math:`\phi_{ik}` is the frequency of clonotype :math:`k` in sample :math:`i` and :math:`\bar{\phi_{i}}` is the average frequency of overlapping clonotypes in sample :math:`i`. - Relative overlap diversity, computed with the following normalization .. math:: D_{ij} = \frac{d_{ij}}{d_{i}d_{j}} where :math:`d_{ij}` is the number of clonotypes present in both samples and :math:`d_{i}` is the diversity of sample :math:`i`. See `this paper `__ for the rationale behind normalization. - Geometric mean of relative overlap frequencies .. math:: F_{ij} = \sqrt{f_{ij}f_{ji}} where :math:`f_{ij}=\sum^N_{k=1}\phi_{ik}` is the total frequency of clonotypes that overlap between samples :math:`i` and :math:`j` in sample :math:`i`. - Сlonotype-wise sum of geometric mean frequencies .. math:: F2_{ij} = \sum^N_{k=1}\sqrt{\phi_{ik}\phi_{jk}} Note that this measure performs similar to :math:`F` and provides slightly more robust results in case cross-sample contamination is present. - `Jensen-Shannon divergence `__ between Variable segment usage profiles (will be moved to :ref:`CalcSegmentUsage` in near future). - `Jaccard index `__. - `Morisita-Horm index `__. :ref:`ClusterSamples` routine can be additionally run for CalcPairwiseDistances results. Command line usage ~~~~~~~~~~~~~~~~~~ .. code-block:: bash $VDJTOOLS CalcPairwiseDistances \ [options] [sample1.txt sample2.txt sample3.txt ... if -m is not specified] output_prefix Parameters: +-------------+------------------------+------------+-----------------------------------------------------------------------------------------------------+ | Shorthand |      Long name      | Argument | Description | +=============+========================+============+=====================================================================================================+ | ``-m`` | ``--metadata`` | path | Path to metadata file. See :ref:`common_params` | +-------------+------------------------+------------+-----------------------------------------------------------------------------------------------------+ | ``-i`` | ``--intersect-type`` | string | Sample intersection rule. Defaults to ``aa``. See :ref:`common_params` | +-------------+------------------------+------------+-----------------------------------------------------------------------------------------------------+ | | ``--low-mem`` | | Low memory mode, will keep only a pair of samples in memory during execution, but run much slower. | +-------------+------------------------+------------+-----------------------------------------------------------------------------------------------------+ | ``-p`` | ``--plot`` | | Turns on plotting. See :ref:`common_params` | +-------------+------------------------+------------+-----------------------------------------------------------------------------------------------------+ | ``-h`` | ``--help`` | | Display help message | +-------------+------------------------+------------+-----------------------------------------------------------------------------------------------------+ Tabular output ~~~~~~~~~~~~~~ A table suffixed ``intersect.batch.[intersection type shorthand].summary.txt`` with a comprehensive information on sample pair intersections is generated. This table is non-redundant: it contains ``N * (N - 1) / 2`` rows corresponding to upper diagonal of matrix of possible pairs ``(i,j)``. Table layout is given below in three parts. **General info** +-----------------+-----------------------------------------------------------------------------------------------------------------------------+ | Column | Description | +=================+=============================================================================================================================+ | 1\_sample\_id | First sample unique identifier | +-----------------+-----------------------------------------------------------------------------------------------------------------------------+ | 2\_sample\_id | Second sample unique identifier | +-----------------+-----------------------------------------------------------------------------------------------------------------------------+ | div1 | Total number of clonotypes in the first sample after identical clonotypes are collapsed based on intersection type ``-i`` | +-----------------+-----------------------------------------------------------------------------------------------------------------------------+ | div2 | Same as above, second sample | +-----------------+-----------------------------------------------------------------------------------------------------------------------------+ | div12 | Number of overlapping clonotypes | +-----------------+-----------------------------------------------------------------------------------------------------------------------------+ | div21 | Same as above | +-----------------+-----------------------------------------------------------------------------------------------------------------------------+ | count1 | Total number of reads in the first sample | +-----------------+-----------------------------------------------------------------------------------------------------------------------------+ | count2 | ... | +-----------------+-----------------------------------------------------------------------------------------------------------------------------+ | count12 | For clonotypes **overlapping** between two samples: total number of reads they have in the **first** sample | +-----------------+-----------------------------------------------------------------------------------------------------------------------------+ | count21 | ... | +-----------------+-----------------------------------------------------------------------------------------------------------------------------+ | freq1 | Total clonotype relative abundance for the first sample (should be 1.0 if sample is unaltered) | +-----------------+-----------------------------------------------------------------------------------------------------------------------------+ | freq2 | ... | +-----------------+-----------------------------------------------------------------------------------------------------------------------------+ | freq12 | For clonotypes **overlapping** between two samples: their sum of relative abundances in the **first** sample | +-----------------+-----------------------------------------------------------------------------------------------------------------------------+ | freq21 | ... | +-----------------+-----------------------------------------------------------------------------------------------------------------------------+ **Overlap metrics** +---------------+--------------------------------------------------------------------------------------------+ | Column | Description | +===============+============================================================================================+ | R | Pearson correlation | +---------------+--------------------------------------------------------------------------------------------+ | D | Relative overlap diversity | +---------------+--------------------------------------------------------------------------------------------+ | F | Geometric mean of relative overlap frequencies | +---------------+--------------------------------------------------------------------------------------------+ | F2 | Sum of geometric means of overlapping clonotype frequencies. | +---------------+--------------------------------------------------------------------------------------------+ | vJSD | Jensen-Shannon divergence of Variable segment usage distributions | +---------------+--------------------------------------------------------------------------------------------+ | vjJSD | <*experimental*\ > | +---------------+--------------------------------------------------------------------------------------------+ | vj2JSD | <*experimental*\ > | +---------------+--------------------------------------------------------------------------------------------+ | sJSD | <*experimental*\ > | +---------------+--------------------------------------------------------------------------------------------+ | Jaccard | Jaccard index | +---------------+--------------------------------------------------------------------------------------------+ | MorisitaHorn | Morisita-Horn index | +---------------+--------------------------------------------------------------------------------------------+ **Sample metadata** +----------+------------------------------------------------------------+ | Column | Description | +==========+============================================================+ | 1\_... | First sample metadata columns. See :ref:`metadata` section | +----------+------------------------------------------------------------+ | 2\_... | Second sample metadata columns | +----------+------------------------------------------------------------+ Graphical output ~~~~~~~~~~~~~~~~ Circos plots showing pairwise overlap are stored in a file suffixed ``intersect.batch.[intersection type shorthand].summary.pdf``. .. figure:: _static/images/modules/intersect-batch-circos.png :align: center :scale: 50 % **Pairwise overlap circos plot**. Count, frequency and diversity panels correspond to the read count, frequency (both non-symmetric) and the total number of clonotypes that are shared between samples. Pairwise overlaps are stacked, i.e. segment arc length is not equal to sample size. -------------- .. _ClusterSamples: ClusterSamples ^^^^^^^^^^^^^^ This routine provides additional cluster analysis (hierarchical clustering), multi-dimensional scaling (MDS) and plotting for :ref:`CalcPairwiseDistances` output. Note that this routine requires the following parameter setting: - Input file prefix (``input_prefix``) is set to the same value as the output prefix of :ref:`CalcPairwiseDistances` - The ``-i`` argument setting is the same as in :ref:`CalcPairwiseDistances` Command line usage ~~~~~~~~~~~~~~~~~~ .. code-block:: bash $VDJTOOLS ClusterSamples \ [options] input_prefix [output_prefix] Parameters: +-------------+------------------------+------------+---------------------------------------------------------------------------------------------------------------------------------------------+ | Shorthand |      Long name      | Argument | Description | +=============+========================+============+=============================================================================================================================================+ | ``-e`` | ``--measure`` | string | Sample overlap metric, see **Overlap metrics** section of :ref:`CalcPairwiseDistances` tabular output for allowed values. Defaults to ``F`` | +-------------+------------------------+------------+---------------------------------------------------------------------------------------------------------------------------------------------+ | ``-i`` | ``--intersect-type`` | string | Intersection type, defaults to ``aa``. See :ref:`common_params` | +-------------+------------------------+------------+---------------------------------------------------------------------------------------------------------------------------------------------+ | ``-f`` | ``--factor`` | string | Specifies metadata column with plotting factor (is used to color for sample labels and figure legend). See :ref:`common_params` | +-------------+------------------------+------------+---------------------------------------------------------------------------------------------------------------------------------------------+ | ``-n`` | ``--numeric`` | | Specifies if plotting factor is continuous. See :ref:`common_params` | +-------------+------------------------+------------+---------------------------------------------------------------------------------------------------------------------------------------------+ | ``-l`` | ``--label`` | string | Specifies metadata column with sample labelslabel . See :ref:`common_params` | +-------------+------------------------+------------+---------------------------------------------------------------------------------------------------------------------------------------------+ | ``-h`` | ``--help`` | | Display help message | +-------------+------------------------+------------+---------------------------------------------------------------------------------------------------------------------------------------------+ | ``-p`` | ``--plot`` | | Turns on plotting. See :ref:`common_params` | +-------------+------------------------+------------+---------------------------------------------------------------------------------------------------------------------------------------------+ Tabular output ~~~~~~~~~~~~~~ Two output files are generated: - Table suffixed ``mds.[value of -i argument].[value of -e argument].txt`` that contains coordinates of samples computed using multi-dimensional scaling (MDS), i.e. the coordinates of samples projected to a 2D plane in a manner that pairwise sample distances are preserved. - A file in `Newick format `__ suffixed ``hc.[value of -i argument].[value of -e argument].newick`` is generated that contains sample dendrogram produced by hierarchical clustering. .. note:: Hierarchical clustering and MDS are performed using ``hclust()`` and ``isoMDS()`` (`MASS package `__) R functions. Default parameters are used for those algorithms. Distances are scaled as ``-log10(.)`` and ``(1-.)/2`` for relative overlap and correlation metrics respectively; in case of Jensen-Shannon divergence, Jaccard and Morisita-Horn indices no scaling is performed. Graphical output ~~~~~~~~~~~~~~~~ Hierarchical clustering plot is stored in a file suffixed ``hc.[value of -i argument].[value of -e argument].pdf``. MDS plot is stored in a file with ``mds.[value of -i argument].[value of -e argument].pdf`` suffix. .. figure:: _static/images/modules/intersect-batch-dendro.png :align: center :scale: 50 % **Hierarchical clustering**. Dendrogram of samples, branch length shows the distance between repertoires. Node colors correspond to factor value, continuous scale is used in present case (``-n -f age`` argument). .. figure:: _static/images/modules/intersect-batch-mds.png :align: center :scale: 50 % **MDS plot**. A scatterplot of samples. Euclidean distance between points reflects the distance between repertoires. Points are colored by factor value. -------------- .. _TestClusters: TestClusters ^^^^^^^^^^^^ This routine allows to test whether a given factor influences repertoire clustering. It assesses compactness of samples that have the same factor level and separation between samples with distinct factor levels for the factor specified in :ref:`ClusterSamples`. Performs post-hoc permutation testing based on MDS coordinates generated by :ref:`ClusterSamples` routine. Can only be performed if a discrete factor (``-f``) was specified in :ref:`ClusterSamples`. Note that this routine requires the following parameter setting: - Input file prefix (``input_prefix``) is set to the same value as the output prefix of :ref:`ClusterSamples` - The ``-i`` and ``-e`` argument setting is the same as in :ref:`ClusterSamples` Command line usage ~~~~~~~~~~~~~~~~~~ .. code-block:: bash $VDJTOOLS TestClusters \ [options] input_prefix [output_prefix] Parameters: +-------------+------------------------+------------+---------------------------------------------------------------------------------------------------------------------------------------------+ | Shorthand |      Long name      | Argument | Description | +=============+========================+============+=============================================================================================================================================+ | ``-e`` | ``--measure`` | string | Sample overlap metric, see **Overlap metrics** section of :ref:`CalcPairwiseDistances` tabular output for allowed values. Defaults to ``F`` | +-------------+------------------------+------------+---------------------------------------------------------------------------------------------------------------------------------------------+ | ``-i`` | ``--intersect-type`` | string | Intersection type, defaults to ``aa``. See :ref:`common_params` | +-------------+------------------------+------------+---------------------------------------------------------------------------------------------------------------------------------------------+ Tabular output ~~~~~~~~~~~~~~ none Graphical output ~~~~~~~~~~~~~~~~ Permutation summary plot is generated having the ``perms.[value of -i argument].[value of -e argument].pdf`` suffix. .. figure:: _static/images/modules/test-clusters.png :align: center :scale: 50 % **Testing compactness and separation of sample clustering for a given factor**. Average repertoire similarity values for sample pairs in which both samples have the same (within panel) and different (between panel) factor levels. Each row correspond to a specific factor level. Red lines show observed values, histograms correspond to values generated by randomly permuting factor levels. Numbers near red lines indicate P-values for n=10000 permutations. -------------- .. _TrackClonotypes: TrackClonotypes ^^^^^^^^^^^^^^^ This routine performs an all-vs-all intersection between an ordered list of samples for clonotype tracking purposes. User can specify sample which clonotypes will be traced, e.g. the pre-therapy sample. Command line usage ~~~~~~~~~~~~~~~~~~ .. code-block:: bash $VDJTOOLS TrackClonotypes \ [options] [sample1.txt sample2.txt sample3.txt ... if -m is not specified] output_prefix Parameters: +-------------+------------------------+-------------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | Shorthand |      Long name      | Argument | Description | +=============+========================+===================+===========================================================================================================================================================================================================================================+ | ``-m`` | ``--metadata`` | path | Path to metadata file. See See :ref:`common_params` | +-------------+------------------------+-------------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | ``-i`` | ``--intersect-type`` | string | Sample intersection rule. Defaults to ``strict``. See :ref:`common_params` | +-------------+------------------------+-------------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | ``-f`` | ``--factor`` | string | Specifies factor that should be treated as ``time`` variable. Factor values should be numeric. If such column not set, time points are taken either from values provided with ``-s`` argument or sample order. See :ref:`common_params` | +-------------+------------------------+-------------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | ``-x`` | ``--track-sample`` | integer | A zero-based index of time point to track. If not provided, will consider all clonotypes that were detected in 2+ samples | +-------------+------------------------+-------------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | ``-s`` | ``--sequence`` | ``[t1,t2,...]`` | Time point sequence. Unused if ``-m`` is specified. If not specified, either ``time`` column values from metadata, or sample indexes (as in command line) are used. | +-------------+------------------------+-------------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | ``-t`` | ``--top`` | integer | Number of top clonotypes to visualize explicitly on stack are plot and provide in the collapsed joint table. Should not exceed 100, default is 200 | +-------------+------------------------+-------------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | ``-p`` | ``--plot`` | | Turns on plotting. See :ref:`common_params` | +-------------+------------------------+-------------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | ``-c`` | ``--compress`` | | Compressed output for clonotype table. See :ref:`common_params` | +-------------+------------------------+-------------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | ``-h`` | ``--help`` | | Display help message | +-------------+------------------------+-------------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ Tabular output ~~~~~~~~~~~~~~ Summary table suffixed ``sequential.[value of -i argument].summary.txt`` is created with the following columns. +-----------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | Column | Description | +=================+===========================================================================================================================================================================================================================================================================================================+ | 1\_sample\_id | First sample unique identifier | +-----------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | 2\_sample\_id | Second sample unique identifier | +-----------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | value | Value of the intersection metric | +-----------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | metric | Metric type: ``diversity``, ``frequency`` or ``count``. Metrics correspond to the number of unique clonotypes, total frequency and total read count for clonotypes overlapping between first and second sample. In case tracking is on (``-x``), only clonotypes present in tracked sample are counted. | +-----------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | 1\_time | Time value for the first sample | +-----------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | 2\_time | Time value for the second sample | +-----------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | 1\_... | First sample metadata columns. See :ref:`metadata` section | +-----------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | 2\_... | Second sample metadata columns | +-----------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ Two joint clonotype abundance tables with ``sequential.[intersection type shorthand].table.txt`` and ``sequential.[intersection type shorthand].table.collapsed.txt`` suffices are generated. The latter contains top ``-t`` clonotypes, with two additional rows containing summary count and frequency for non-overlapping and collapsed clonotypes. See :ref:`joint_table_structure` for a detailed description of table columns. **Graphical output** Summary table is visualized in a plot file suffixed ``sequential.[value of -i argument].summary.pdf``. A plot file with ``.sequential.[value of -i argument].stackplot.pdf`` suffix contains a clonotype abundance stack area plot. The same is also visualized using a heatmap in a file with ``.sequential.[value of -i argument].heatplot.pdf``). .. figure:: _static/images/modules/intersect-seq-summary.png :align: center :scale: 50 % **Clonotype tracking summary**. Count, frequency and diversity panels correspond to the read count, frequency (both non-symmetric) and the total number of clonotypes that are shared between samples. Rows and columns of each matrix are sorted according to time point sequence. .. figure:: _static/images/modules/intersect-seq-stackplot.png :align: center :scale: 50 % **Clonotype tracking stackplot**. Contains detailed profiles for top ``-t`` clonotypes, as well as collapsed ("NotShown") and non-overlapping ("NonOverlapping") clonotypes. Clonotype CDR3 amino acid sequence is plotted against the sample where the clonotype reaches maximum abundance. Clonotypes are colored by the peak position of their abundance profile. .. figure:: _static/images/modules/intersect-seq-heatplot.png :align: center :scale: 50 % **Clonotype tracking heatmap**. Shows a heatmap for top ``-t`` joint clonotype abundances. vdjtools-1.2.1+git20190311/doc/modules.rst000644 001750 001750 00000041607 13525023773 021105 0ustar00moellermoeller000000 000000 .. _modules: Analysis modules ---------------- Table of VDJtools modules ^^^^^^^^^^^^^^^^^^^^^^^^^ VDJtools software package contains a comprehensive set of immune repertoire post-analysis routines, which are subdivided into several analysis modules. Each module's section provides command line usage syntax and parameter descriptions for each of the routines, as well as output example and description. :ref:`basic` ~~~~~~~~~~~~ Summary statistics, spectratyping, etc - :ref:`CalcBasicStats` Computes summary statistics for samples: read counts, mean clonotype sizes, number of non-functional clonotypes, etc - :ref:`CalcSegmentUsage` Computes Variable (V) and Joining (J) segment usage profiles - :ref:`CalcSpectratype` Computes spectratype, the distribution of clonotype abundance by CDR3 sequence length - :ref:`PlotFancySpectratype` Plots spectratype explicitly showing top N clonotypes - :ref:`PlotFancyVJUsage` Plots the frequency of different V-J pairings - :ref:`PlotSpectratypeV` Plots distribution of V segment abundance by resulting CDR3 sequence length :ref:`diversity` ~~~~~~~~~~~~~~~~ Repertoire richness and diversity - :ref:`PlotQuantileStats` Visualizes repertoire clonality - :ref:`RarefactionPlot` Performs rarefaction analysis - :ref:`CalcDiversityStats` Computes repertoire diversity estimates :ref:`overlap` ~~~~~~~~~~~~~~ Clonotype sharing between samples - :ref:`OverlapPair` Computes intersection between a pair of samples - :ref:`CalcPairwiseDistances` Computes pairwise intersections for a list of samples - :ref:`ClusterSamples` Performs sample clusterization according to the results of batch intersection - :ref:`TrackClonotypes` Time-course analysis for a sequence of samples :ref:`preprocess` ~~~~~~~~~~~~~~~~~ Filtering and resampling - :ref:`Correct` Performs a frequency-based erroneous clonotype correction - :ref:`Decontaminate` Filters possible cross-sample contaminations in a set of samples - :ref:`DownSample` Performs down-sampling, i.e. takes a subset of random reads from sample(s) - :ref:`FilterNonFunctional` Filters non-functional clonotypes - :ref:`SelectTop` Selects a fixed number of top (most abundant) clonotypes from sample(s) - :ref:`FilterByFrequency` Filters clonotypes based on a specified frequency threshold. - :ref:`ApplySampleAsFilter` Filters clonotypes that are present in a specified sample from sample(s) - :ref:`FilterBySegment` Filters clonotypes according to their V/D/J segment :ref:`operate` ~~~~~~~~~~~~~~ Clonotype table operations - :ref:`PoolSamples` Pools clonotypes from several samples together - :ref:`JoinSamples` Joins a set of samples and generates clonotype abundance profiles :ref:`annotate` ~~~~~~~~~~~~~~~ Functional annotation of clonotype tables (antigen specificity, amino acid properties, etc) - :ref:`CalcCdrAAProfile` Builds a profile of CDR3 regions (V germline, V-D junction, ...) using a set of amino-acid physical properties - :ref:`Annotate2` Computes a set of basic (insert size, ...) and amino acid physical properties (GRAVY, ...) for clonotypes - :ref:`ScanDatabase` Queries a database containing clonotypes of known antigen specificity. :ref:`util` ~~~~~~~~~~~ Some useful utilities - :ref:`FilterMetadata` Filters metadata file by values in specified column - :ref:`SplitMetadata` Splits metadata file by specified columns - :ref:`Convert` Converts from one software format to another - :ref:`Rinstall` Installs necessary R dependencies Output ~~~~~~ Each routine generates a comprehensive tabular output and some produce optional graphical output. In case of graphical output, the corresponding R script with specified arguments (at the beginning of the script, commented) will be stored to the analysis folder. Thus, user can uncomment the script arguments, modify the script and re-run it. This behavior be disabled by running VDJtools with ``discard_scripts`` argument prior to routine name. By default, all graphical output is generated in PDF format, to generate PNG images use ````--plot-type png`` option. When running routines that output clonotype tables consider the following: - Joint and pooled samples are stored in VDJtools fomat - Samples produced using :ref:`ScanDatabase` or :ref:`Annotate` routine are in VDJtools format and include additional annotation columns. Annotation columns are retained when running most of VDJtools routines - When loading a joint/pooled sample into VDJtools, clonotype abundance vectors, incidence counts, etc will be treated as clonotype level annotations - Annotation columns will not be preserved when joining/pooling annotated samples, a workaround here will be to use :ref:`ApplySampleAsFilter` routine .. attention:: When exporting a table generated by one of VDJtools routines into R use the following command to parse the input correctly: .. code:: r read.table("some_table.txt", header=T, quote="", sep = "\t") .. _common_params: Common parameters ^^^^^^^^^^^^^^^^^ There are several parameters that are commonly used among analysis routines: +-------------+------------------------+------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | Shorthand |      Long name      | Argument | Description | +=============+========================+============+=============================================================================================================================================================================================================================================================================+ | ``-h`` | ``--help`` | | Brings up the help message for selected routine | +-------------+------------------------+------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | ``-m`` | ``--metadata`` | path | Path to metadata file. Should point to a tab-delimited file with the first two columns containing sample path and sample id respectively, and the remaining columns containing user-specified data. See :ref:`metadata` section | +-------------+------------------------+------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | ``-u`` | ``--unweighted`` | | If present as an option and not set, all statistics will be weighted by clonotype frequency | +-------------+------------------------+------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | ``-i`` | ``--intersect-type`` | string | :ref:`overlap_type`, that specifies which clonotype features (CDR3 sequence, V/J segments, hypermutations) will be compared when checking if two clonotypes match. Allowed values: ``strict``,\ ``nt``,\ ``ntV``,\ ``ntVJ``,\ ``aa``,\ ``aaV``,\ ``aaVJ`` and ``aa!nt``. | +-------------+------------------------+------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | ``-p`` | ``--plot`` | | [*plotting*] Enable plotting for routines that supports it. | +-------------+------------------------+------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | | ``--plot-type`` | | [*plotting*] Specifies whether to generate a PDF or PNG file. While latter could be easily embedded, PDF plots have superior quality. | +-------------+------------------------+------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | ``-f`` | ``--factor`` | string | [*plotting*] Name of the sample metadata column that should be treated as factor. If the name contains spaces, the argument should be surrounded with double quotes, e.g. ``-f "Treatment type"`` | +-------------+------------------------+------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | ``-n`` | ``--factor-numeric`` | | [*plotting*] Treat the factor as numeric? | +-------------+------------------------+------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | ``-l`` | ``--label`` | string | [*plotting*] Name of the sample metadata column that should be treated as label. If the name contains spaces, the argument should be surrounded with double quotes, e.g. ``-l "Patient id"`` | +-------------+------------------------+------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | ``-c`` | ``--compress`` | path | Compress resulting clonotype tables using GZIP. | +-------------+------------------------+------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ .. _overlap_type: Overlap type ~~~~~~~~~~~~ Some of VDJtools routines require to define clonotype matching strategy when computing clonotype sharing between samples. This parameter is also used when collapsing clonotype tables, e.g. a common situation is when one is interested in estimating the extent of convergent recombination, which is the number of distinct nucleotide CDR3 sequences per one CDR3 amino acid sequence. This requires to collapse clonotype table by identical CDR3aa field. The list of strategies is defined below. +-------------+---------------------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------+ | Shorthand | Rule | Note | +=============+===================================================+=======================================================================================================================================+ | strict | **CDR3nt** (AND) **V** (AND) **J** (AND) **SHMs** | Require full match for receptor nucleotide sequence | +-------------+---------------------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------+ | nt | **CDR3nt** | | +-------------+---------------------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------+ | ntV | **CDR3nt** (AND) **V** | | +-------------+---------------------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------+ | ntVJ | **CDR3nt** (AND) **V** (AND) **J** | | +-------------+---------------------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------+ | aa | **CDR3aa** | | +-------------+---------------------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------+ | aaV | **CDR3aa** (AND) **V** | | +-------------+---------------------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------+ | aaVJ | **CDR3aa** (AND) **V** (AND) **J** | | +-------------+---------------------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------+ | aa!nt | **CDR3aa** (AND)((NOT) **CDR3nt** ) | Removes nearly all contamination bias from overlap results. Should not be used for samples from the same donor/tracking experiments | +-------------+---------------------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------+ As somatic hypermutations (SHMs) are currently not supported by VDJtools, ``strict`` and ``ntVJ`` options are identical. See VDJtools :ref:`clonotype_spec` specification for details. vdjtools-1.2.1+git20190311/doc/input.rst000644 001750 001750 00000033401 13525023773 020565 0ustar00moellermoeller000000 000000 Input ----- Clonotype tables ^^^^^^^^^^^^^^^^ The processing stage of RepSeq analysis starts with mapping of Variable, Diversity and Joining segments. Mapped reads are then assembled into clonotypes and stored as a clonotype abundance tables. .. _clonotype_spec: Clonotype ~~~~~~~~~ VDJtools **clonotype** specification includes the following fields: - Variable (*V*) segment name. - Diversity (*D*) segment name for some of the receptor chains (TRB, TRD and IGH). Set to `.` if not aplicable or D segment was not identified. - Joining (*J*) segment name. - Complementarity determining region 3 nucleotide sequence (*CDR3nt*). CDR3 starts with Variable region reference point (conserved Cys residue) and ends with Joining segment reference point (conserved Phe\Trp). - Translated CDR3 sequence (*CDR3aa*). - Somatic hypermutations (*SHMs*) in the variable segment (antibody only, **planned**). .. important:: For ambiguous segment assignments encoded by a comma separated list of segment names only the first one is selected. .. hint:: In case of non-coding CDR3 sequences, the convention is to translate in both directions: upstream from V segment reference point and downstream from J segment reference point. The resulting sequence (e.g. ``CASSLA_TNEKFF``) is linked by a ``_`` symbol that marks the incomplete codon. Clonotype **abundance** data is represented by *count* and *frequency* fields: - *Count*: number of reads or cDNA/DNA molecules in case `UMIs `__ are used. - *Frequency*: the share of clonotype in the sample. While seemingly redundant, this property is left for compatibility with cases when the sample represents a subset of another one, e.g. clonotypes from PBMCs filtered by intersection with lymph node clonotypes. The following fields are optional, but are used for computing various statistics and visualization: - *Vend*, *Dstart*, *Dend* and *Jstart* - marking V, D and J segment boundaries within CDR3 nucleotide sequence (inclusive) .. tip:: VDJtools accepts `gzip `__-compressed files, such files should have an ``.gz`` suffix. Input data should be provided in a form of tab-delimited table. .. _vdjtools_format: VDJtools format ^^^^^^^^^^^^^^^ This is a core tabular format for VDJtools. All datasets should be converted to this format using the :ref:`convert` routine prior to analysis. Columns 8-10 are optional. +-----------+-------------+---------------------------+------------------+------------+-----------+-----------+------------+-----------+-----------+-----------+ | column1 | column2 | column3 | column4 | column5 | column6 | column7 | column8 | column9 | column10 | column11 | +===========+=============+===========================+==================+============+===========+===========+============+===========+===========+===========+ | count | frequency | CDR3nt | CDR3aa | V | D | J | Vend | Dstart | Dend | Jstart | +-----------+-------------+---------------------------+------------------+------------+-----------+-----------+------------+-----------+-----------+-----------+ | 1176 | 9.90E-02 | TGTGCCAGC...AAGCTTTCTTT | CAST...EAFF | TRBV12-4 | TRBD1 | TRBJ1-1 | 11 | 14 | 16 | 23 | +-----------+-------------+---------------------------+------------------+------------+-----------+-----------+------------+-----------+-----------+-----------+ All additional columns after column 10 will be considered as clonotype annotations and carried over unmodified during most stages of VDJtools analysis. This is especially useful when processing results of :ref:`Annotate` and :ref:`ScanDatabase` routines. .. _supported_input: Formats supported for conversion ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ MiTCR ~~~~~ Output from MiTCR software (`executable jar `__, `documentation `__) in ``full`` mode can be used without any pre-processing. Corresponding table should start with **two header lines** (default MiTCR output stores processing options and version in the first line), followed by a clonotype list. Run :ref:`convert` routine with ``-S mitcr`` argument to prepare datasets in this format for VDJtools analysis. MiGEC ~~~~~ `MiGEC `__ is a software for V/D/J mapping and CDR3 extraction that relies on BLAST algorithm for running alignments. MIGEC software additionally implements processing of unique molecular identifier (UMI)-tagged libraries for error correction and dataset normalization. Default output of MIGEC software can be directly used with VDJtools. Run :ref:`convert` routine with ``-S migec`` argument to prepare datasets in this format for VDJtools analysis. IgBlast (MIGMAP) ~~~~~~~~~~~~~~~~ As IgBlast doesn't compute a canonical clonotype abundance table, VDJtools supports output of `MIGMAP `__, a versatile IgBlast wrapper. Note that currently no somatic hypermutation (SHM) information is imported by VDJtools, neither there are any dedicated VDJtools routines to analyze SHM profiles, but you check out `post-analysis provided by MIGMAP `__. Run :ref:`convert` routine with ``-S migmap`` argument to prepare datasets in this format for VDJtools analysis. ImmunoSEQ ~~~~~~~~~ One of the most commonly used RepSeq data format, more than 90% of recently published studies were performed using `immunoSEQ `__ assay. We have implemented a parser for clonotype tables as provided by `Adaptive Biotechnologies `__. - The resulting datasets for most studies that use ImmunoSEQ technology can be accessed and exported using the `ImmunoSEQ Analyzer `__. - Example datasets in this format could be found in the `Supplementary Data `__ section of `Spreafico R et al. Ann Rheum Dis. 2014 `__. - Column header information was taken from **page 24** of the immunoSEQ Analyzer `manual `__ - VDJtools will use V/J segment information only at the family level, as many of the clonotypes miss segment (`-X`) and allele (`-X*0Y`) information. The clonotype table is then collapsed to handle unique V/J/CDR3 entries. - Raw clonotype tables in this format do not contain CDR3 nucleotide sequence. Instead, an entire sequencing read (first column) is provided. Therefore, we have implemented additional algorithms for CDR3 extraction and "virtual" translation to tell out-of-frame clonotypes from partially read ones. .. attention:: Some of the clonotype entries will dropped during conversion as they contain an incomplete CDR3 sequence (lacking J segment), which is due to short reads used in immunoSEQ assay, see this `blog post `__ for details. Run :ref:`convert` routine with ``-S immunoseq`` argument to prepare datasets in this format for VDJtools analysis. Note that there are currently two possible ImmunoSEQ output formats that have different column naming: - This option should be used in case you have selected ``Export samples`` option in the ImmunoSEQ analyzer. - In case you have used the ``Export samples v2`` option you should pass the ``-S immunoseqv2`` argument to VDJtools Convert routine. IMGT/HighV-QUEST ~~~~~~~~~~~~~~~~ Another commonly used RepSeq processing tool is the `IMGT/HighV-QUEST `__ web server. Please refer to the official `documentation `__ to see the description of output files and their formats. .. tip:: The output for each submission consists of several files and only .. code:: bash 3_Nt-sequences_${chain}_${sx}_${date}.txt should be used as an input for VDJtools :ref:`convert` routine. Run :ref:`convert` routine with ``-S imgthighvquest`` argument to prepare datasets in this format for VDJtools analysis. VDJdb ~~~~~ VDJtools has native support for the analysis of clonotype tables annotated with `VDJdb `__ software. Note that as those tables can list the same clonotype several times with different annotation, they should not be used directly in most VDJtools routines (e.g. diversity statistics), check out `VDJdb README `__ for corresponding guidelines and workarounds. Vidjil ~~~~~~ VDJtools supports parsing output Json files produced by the `Vidjil `__ software. VDJtools will only use top clonotypes which have V/D/J detalization in the output. RTCR ~~~~ VDJtools supports parsing the ``results.tsv`` table with clonotype list generated by the `RTCR `__ software. Run :ref:`convert` routine with ``-S rtcr`` argument to prepare datasets in this format for VDJtools analysis. MiXCR ~~~~~ Output from `MiXCR `__ software ``export`` routine in ``full`` (default) mode can be used without any pre-processing. Run :ref:`convert` routine with ``-S mixcr`` argument to prepare datasets in this format for VDJtools analysis. IMSEQ ~~~~~ Output from `IMSEQ `__ software can be used if results are collapsed to nucleotide-level clonotypes using ``-on`` argument with IMSEQ. Run :ref:`convert` routine with ``-S imseq`` argument to prepare datasets in this format for VDJtools analysis. .. _metadata: Metadata ^^^^^^^^ Most VDJtools routines will accept multiple sample files as command line arguments for batch processing. This should be always preferred over multiple calls to VDJTools with a single sample due to the initialisation time of VDJTools. An alternative way to specify a sample batch is to pass the sample metadata file with ``-m`` option. The file should contain sample file paths, sample names. It can be also supplemented with optional metadata columns that will be appended to analysis results and can be used for plottings. Additionally, for each step that involves modification of samples (e.g. converting or filtering non-functional rearrangements) a new metadata file will be created in the folder containing the processed sample batch. .. note:: - VDJtools will append metadata fields to its output tables to facilitate the exploration of analysis results. - Metadata entries are used as a factor in some analysis routines and most plotting routines. - When performing tasks that involve modifying clonotype abundance tables themselves, such as down-sampling, VDJtools will also provide a copy of metadata file pointing to newly generated samples. - Newly generated metadata file would contain an additional ``..filter..`` column, which has a comma-separated list of filters that were applied. For example the :ref:`downsample` routine run with ``-n 50000`` will append ``ds:50000`` to the ``..filter..`` column. Note that this column name is reserved and should not be modified. - Some routines for working with metadata files can be found in :ref:`util` section. Below are the basic guidelines for creating a metadata file. - Metadata file should be a tab-delimited table, e.g. +-----------------+--------------+-------------+-------+ | #file.name | sample.id | col.name | ... | +=================+==============+=============+=======+ | sample\_1.txt | sample\_1 | A | ... | +-----------------+--------------+-------------+-------+ | sample\_2.txt | sample\_2 | A | ... | +-----------------+--------------+-------------+-------+ | sample\_3.txt | sample\_3 | B | ... | +-----------------+--------------+-------------+-------+ | sample\_4.txt | sample\_4 | C | ... | +-----------------+--------------+-------------+-------+ | ... | ... | ... | ... | +-----------------+--------------+-------------+-------+ - Header is mandatory, first two columns should be named **file\_name** and **sample\_id**. Names of the remaining columns will be later used to specify metadata variable name - First two columns should contain the file name and sample id respectively. - The file name should be either an absolute path (e.g. ``/Users/username/somedir/file.txt``) or a path relative to the parent directory of metadata file (e.g. ``../file.txt``) - Sample IDs should be unique - Columns after **sample.id** are treated as metadata entries. There are also several cases when info from metadata is used during execution: - VDJtools plotting routines could be directed to use metadata fields for naming samples and creating intuitive legends. If column name contains spaces it should be quoted, e.g. ``-f "patient id"`` - Metadata fields are categorized as factor (contain only strings), numeric (contain only numbers) and semi-numeric (numbers and strings). Numeric and semi-numeric fields could be used for gradient coloring by plotting routines. vdjtools-1.2.1+git20190311/doc/util.rst000644 001750 001750 00000013046 13525023773 020406 0ustar00moellermoeller000000 000000 .. _util: Utilities --------- .. _SplitMetadata: SplitMetadata ^^^^^^^^^^^^^ Splits metadata file into separate metadata files according to the set of values in specified column(s). Can be handly for implementing pipelines using VDJtools. Command line usage ~~~~~~~~~~~~~~~~~~ .. code-block:: bash $VDJTOOLS SplitMetadata [options] metadata.txt output_dir Parameters: +-------------+------------------------+---------------------+-----------------------------------------------------------------+ | Shorthand |      Long name      | Argument | Description | +=============+========================+=====================+=================================================================+ | ``-c`` | ``--columns`` | string1,string2,... | A comma separated list of column name(s) to split metadata by. | +-------------+------------------------+---------------------+-----------------------------------------------------------------+ Tabular output ~~~~~~~~~~~~~~ Output resulting metadata files to specified folder. Unique combinations of metadata entries in specified columns will be appended to names of corresponding metadata files, relative sample paths will be handled appropriately. ------------- .. _FilterMetadata: FilterMetadata ^^^^^^^^^^^^^^ Filters metadata by evaluating expression over values in specified metadata columns, e.g.: .. code-block:: java "__chain__=~/TR[AB]/" "__chain__=='TRA'||__chain__=='TRB'" "__chain__.contains('TRA')" "!__condition__.startsWith('control')" Both Java and Groovy syntax are supported, column names should be marked by double underscores before and after the name. Command line usage ~~~~~~~~~~~~~~~~~~ .. code-block:: bash $VDJTOOLS FilterMetadata [options] metadata.txt output_dir output_suffix Parameters: +-------------+------------------------+--------------+-------------------------------------------------------------------------------------------------------------------+ | Shorthand |      Long name      | Argument | Description | +=============+========================+==============+===================================================================================================================+ | ``-f`` | ``--filter`` | expression | Filter expression, should be surrounded with quotation marks, metadata column names should be marked with ``__``. | +-------------+------------------------+--------------+-------------------------------------------------------------------------------------------------------------------+ Tabular output ~~~~~~~~~~~~~~ Filtered metadata table with corresponding suffix will be created in the specified folder, relative sample paths will be handled appropriately. ------------- .. _Convert: Convert ^^^^^^^ Converts datasets from an arbitrary supported format to :ref:`vdjtools_format`. You can also re-normalize your data - collapse clonotypes by V, D, J and CDR3 nucleotide sequence and re-compute clonotype frequencies - by using ``-S VDJtoolsRenorm`` option. This is useful if you want to groom manually converted data, or somewhy your clonotype frequencies do not sum to 1. Command line usage ~~~~~~~~~~~~~~~~~~ .. code-block:: bash $VDJTOOLS Convert \ [options] [sample1.txt sample2.txt ... if -m is not specified] output_prefix Parameters: +-------------+------------------------+-----------+-------------------------------------------------------------------------------------------------------------+ | Shorthand |      Long name      | Argument | Description | +=============+========================+===========+=============================================================================================================+ | ``-S`` | ``--software`` | path | Format to convert from, see the :ref:`supported_input` section | +-------------+------------------------+-----------+-------------------------------------------------------------------------------------------------------------+ | ``-m`` | ``--metadata`` | path | Path to metadata file. See :ref:`common_params` | +-------------+------------------------+-----------+-------------------------------------------------------------------------------------------------------------+ | ``-c`` | ``--compress`` | | Compressed output for clonotype table. See :ref:`common_params` | +-------------+------------------------+-----------+-------------------------------------------------------------------------------------------------------------+ Tabular output ~~~~~~~~~~~~~~ Outputs converted samples to the path specified by output prefix and creates a corresponding metadata file. Will also append ``conv:[-S value]`` to ``..filter..`` metadata column. ------------- .. _Rinstall: RInstall ^^^^^^^^ Prints the list of required R packages and installs dependencies into a local library (`RPackages` folder) which is placed in the parent folder of VDJtools jar. If this routine does not return with "PASSED" message, manual installation of packages that failed to deploy is required. Command line usage ~~~~~~~~~~~~~~~~~~ .. code-block:: bash $VDJTOOLS RInstall vdjtools-1.2.1+git20190311/doc/vdjviz.rst000644 001750 001750 00000001723 13525023773 020744 0ustar00moellermoeller000000 000000 .. _vdjviz: Clonotype browser ----------------- In order to demonstrate VDJtools API features, a lightweight immune repertoire browser **VDJviz** was implemented by `@bvdmitri `__. VDJviz is a `Play framework `__ application that uses `D3js `__ for interactive visualization of VDJtools output. It allows visualizing and comparing various immune repertoire features such as spectratypes and rarefaction curves. To try it out register at `vdjviz.milaboratory.com `__ and upload some RepSeq files in any supported format. .. important:: Currently there is an upload limit of 25 files with at most 10,000 clonotypes, so the :ref:`DownSample` routine could come in handy .. figure:: _static/images/vdjviz.png :align: center Clonotype browser panel .. figure:: _static/images/vdjviz1.png :align: center Interactive graphs vdjtools-1.2.1+git20190311/doc/annotate.rst000644 001750 001750 00000140512 13525023773 021241 0ustar00moellermoeller000000 000000 .. _annotate: Annotation ---------- .. _SegmentsToFamilies: SegmentsToFamilies ^^^^^^^^^^^^^^^^^^ Will replace V and J segment IDs in samples with segment 'family' IDs. Here, 'families' are defined as clusters of V/J sequences built using hierarchial clustering of pairwise amino acid sequence alignment distances. Thus, two segments are assigned to the same family if they have homologous sequence. The actual table of segment <> family conversions can be accessed `here `__. Command line usage ~~~~~~~~~~~~~~~~~~ .. code-block:: bash $VDJTOOLS SegmentsToFamilies \ [options] [sample1.txt sample2.txt ... if -m is not specified] output_prefix Parameters: +-------------+-----------------------+--------------------+----------------------------------------------------+ | Shorthand |      Long name      | Argument | Description | +=============+=======================+====================+====================================================+ | ``-m`` | ``--metadata`` | path | Path to metadata file. See :ref:`common_params` | +-------------+-----------------------+--------------------+----------------------------------------------------+ | ``-s`` | ``--species`` | name | [Required] Species name: ``human`` or ``mouse``. | +-------------+-----------------------+--------------------+----------------------------------------------------+ | ``-h`` | ``--help`` | | Display help message | +-------------+-----------------------+--------------------+----------------------------------------------------+ | ``-c`` | | | Compressed output. | +-------------+-----------------------+--------------------+----------------------------------------------------+ Tabular output ~~~~~~~~~~~~~~ Samples are returned as is, with the content of ``v`` and ``j`` columns replaced by families. A metadata file will be created for resulting samples with ``segm2fam`` appended to the ``..filter..`` metadata column. Graphical output ~~~~~~~~~~~~~~~~ none -------------- .. _CalcDegreeStats: CalcDegreeStats ^^^^^^^^^^^^^^^ Performs a TCR neighborhood enrichment test (TCRNET), testing each sample for clonotypes that have more neighbours (higher **degree** in a graph), i.e. clonotypes with similar CDR3 amino acid sequences, than would be expected by chance according to some control dataset. User can specify the actual **search scope** (i.e. number of allowed CDR3 mismatches), whether to only compare clonotypes with same V/J, and the control sample. If control sample is not provided, a pooling (see :ref:`PoolSamples`) of all provided samples is used. Note that this test, if supplied with real samples and a control pooled using ``-i strict`` option will account for the number of neighbours with the same CDR3 amino acid sequence, but distinct nucleotide sequences. If this is not desired, all input samples and control should be pre-pooled with ``-i aa`` or ``-i aaVJ`` to collapse variants coding for the amino acid CDR3 sequence. .. note:: Running this routine will not return the actual clonotype graph for you, just annotate input samples. To build the graph, one should refer to `VDJmatch `__ software and its ``Cluster`` routine. Make sure the search scope option is the same as ``-o`` used for ``CalcDegreeStats`` and that all scoring/filtering is turned off. Next, one should retain only the edges that connect pairs of enriched clonotypes and enriched clonotypes with their neighbours. Command line usage ~~~~~~~~~~~~~~~~~~ .. code-block:: bash $VDJTOOLS CalcDegreeStats \ [options] [sample1.txt sample2.txt ... if -m is not specified] output_prefix Parameters: +-------------+-----------------------+--------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------+ | Shorthand |      Long name      | Argument | Description | +=============+=======================+====================+============================================================================================================================================================+ | ``-m`` | ``--metadata`` | path | Path to metadata file. See :ref:`common_params` | +-------------+-----------------------+--------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------+ | ``-b`` | ``--background`` | path | Path to the background (control) sample, used to compute expected statistics/P-values. If not provided, will pool input samples and uses them as control. | +-------------+-----------------------+--------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------+ | ``-o`` | ``--search-scope`` | s,i,d | Search scope: number of substitutions (s), indels (id) and total number of mismatches (t) allowed. Default is ``1,0,1`` | +-------------+-----------------------+--------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------+ | ``-g`` | ``--grouping`` | string | Primary grouping type, limits set of clonotype comparisons: 'dummy' (no grouping, default), 'vj' (same V and J) or 'vjl' (same V, J and CDR3 length). | +-------------+-----------------------+--------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------+ | ``-g2`` | ``--grouping2`` | string | Secondary grouping, used for computing statistics, accepts same values as ``-g``. By default will select 'vjl' if no indels allowed and 'vj' otherwise. | +-------------+-----------------------+--------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------+ | ``-h`` | ``--help`` | | Display help message | +-------------+-----------------------+--------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------+ .. note:: There are two possible schemes for running the algorithm. Firstly, one can select, say a search scope of ``1,0,1`` allowing no indels, and ``-g vjl`` to only allow comparisons between clonotypes that match in V, J and CDR3 length. Then, one should only consider ``p.value.g`` in the output and disregard all columns with ``g2/group2``. On the other hand, if one wants to allow comparison of clonotypes with different V/J, and/or comparisons with indels, the option ``-g dummy`` should be used. If one thinks there might be certain biases in V/J frequencies between control/background sample and input samples, and one wants to control for them, he should select ``-g2 vj``, then observed degree values will be provided as is (i.e. not limiting clonotype comparisons to a fixed V/J), but the expected degree will be corrected to account for V/J usage difference between input sample and control. One should only consider ``p.value.g2`` in this case. See below for more explaination on output columns. Tabular output ~~~~~~~~~~~~~~ Processed samples will have additional annotation columns appended to VDJtools clonotype table columns. These columns are the following: +-----------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | Column | Description | +=================+=======================================================================================================================================================================================================+ | degree.s | Degree (number of neighbours) of a given clonotype in sample. The degree is the number of unique clonotypes (incl. nucleotide variants) that match a given clonotype under specified search scope. | +-----------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | group.count.s | Number of unique clonotypes that match the group, defined by primary grouping (``-g``), of a given clonotype in sample, say have the same V and J. | +-----------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | group2.count.s | Same as above, but the group is defined by secondary grouping ``-g2``. | +-----------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | degree.c | Degree (number of neighbours) of a given clonotype in the control sample. | +-----------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | group.count.c | Number of unique clonotypes in the control sample that match the group of given clonotype as defined by primary grouping (``-g``). | +-----------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | group2.count.c | Same as above, but the group is defined by secondary grouping ``-g2``. | +-----------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | p.value.g | P-value for the neighbour (degree) enrichment of a given clonotype according to primary grouping. The P-value is computed as ``Pbinom(n=degree.s|p=degree.c/group.count.c, N=group.count.s)``. | +-----------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | p.value.g2 | P-value for the neighbour (degree) enrichment of a given clonotype according to secondary grouping. The P-value is computed as ``Ppoisson(n=degree.s|lambda=group.count.s*degree.c/group.count.c)``. | +-----------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ A metadata file will be created for resulting samples with ``degstat`` appended to the ``..filter..`` metadata column. Graphical output ~~~~~~~~~~~~~~~~ none -------------- .. _CalcCdrAAProfile: CalcCdrAAProfile ^^^^^^^^^^^^^^^^ Generates amino acid physical properties profile of CDR3. Amino acids are first grouped to corresponding CDR3 sub-regions and then binned by position within the sub-region. Amino acids in a given bin is scored according to its physical properties, sums of those scores and total number of amino acids is reported for each sample/sub-region/bin/property combination. For example under the **polarity** property amino acids are marked as polar (``1``) and non-polar (``0``) and the sum of these values is returned. When divided by the total number of amino acids one will get the fraction of polar amino acids in a given sample/sub-region. For **volume** the same operation will return the average volume of amino acids. Command line usage ~~~~~~~~~~~~~~~~~~ .. code-block:: bash $VDJTOOLS CalcCdrAAProfile \ [options] [sample1.txt sample2.txt ... if -m is not specified] output_prefix Parameters: +-------------+-----------------------+--------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------+ | Shorthand |      Long name      | Argument | Description | +=============+=======================+====================+============================================================================================================================================================+ | ``-m`` | ``--metadata`` | path | Path to metadata file. See :ref:`common_params` | +-------------+-----------------------+--------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------+ | ``-w`` | ``--weighted`` | | If set, will weight amino acid property values by clonotype frequency. | +-------------+-----------------------+--------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------+ | ``-n`` | ``--normalize`` | | If set, will normalize amino acid property values by dividing them by corresponding CDR3 sub-region size. | +-------------+-----------------------+--------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------+ | ``-r`` | ``--region-list`` | region1,... | List of CDR3 sub-regions to count statistics for, default is ``"CDR3-full,VJ-junc,V-germ,J-germ`` | +-------------+-----------------------+--------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------+ | ``-o`` | ``--property-list`` | property1,... | List of amino acid physicochemical properties to use, see below for allowed value. Uses all amino acid properties from list below by default. | +-------------+-----------------------+--------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------+ | ``-h`` | ``--help`` | | Display help message | +-------------+-----------------------+--------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------+ Supported CDR3 sub-regions: +-----------------+--------------------------------------------------------------------------+ | Name | Description | +=================+==========================================================================+ | ``CDR3-full`` | Complete CDR3 region | +-----------------+--------------------------------------------------------------------------+ | ``CDR3-center`` | Central 5 amino acids of CDR3 | +-----------------+--------------------------------------------------------------------------+ | ``V-germ`` | Germline part of CDR3 region corresponding to Variable segment | +-----------------+--------------------------------------------------------------------------+ | ``D-germ`` | Germline part of CDR3 region corresponding to Diversity segment | +-----------------+--------------------------------------------------------------------------+ | ``J-germ`` | Germline part of CDR3 region corresponding to Joining segment | +-----------------+--------------------------------------------------------------------------+ | ``VD-junc`` | Variable-Diversity segment junction, applicable when D segment is mapped | +-----------------+--------------------------------------------------------------------------+ | ``DJ-junc`` | Diversity-Joining segment junction, applicable when D segment is mapped | +-----------------+--------------------------------------------------------------------------+ | ``VJ-junc`` | Variable-Joining segment junction, including D segment if it is mapped | +-----------------+--------------------------------------------------------------------------+ Supported amino acid physical properties (see `full table `__ for raw values): +-------------------+-----------------------------------------------------------------------------------------------------------------+-----------------------------------------------------------------+ | Name | Description | Reference | +===================+=================================================================================================================+=================================================================+ | ``alpha`` | Preference to appear in alpha helices | Stryer L et al. Biochemistry, 5th edition. ISBN 978-0716746843 | +-------------------+-----------------------------------------------------------------------------------------------------------------+-----------------------------------------------------------------+ | ``beta`` | Preference to appear in beta sheets | Stryer L et al. Biochemistry, 5th edition. ISBN 978-0716746843 | +-------------------+-----------------------------------------------------------------------------------------------------------------+-----------------------------------------------------------------+ | ``turn`` | Preference to appear in turns | Stryer L et al. Biochemistry, 5th edition. ISBN 978-0716746843 | +-------------------+-----------------------------------------------------------------------------------------------------------------+-----------------------------------------------------------------+ | ``surface`` | Residues that have unchanged accessibility area when PPI partner is present | `PMID:22559010 `__ | +-------------------+-----------------------------------------------------------------------------------------------------------------+-----------------------------------------------------------------+ | ``rim`` | Residues that have changed accessibility area, but no atoms with zero accessibility in PPI interfaces | `PMID:22559010 `__ | +-------------------+-----------------------------------------------------------------------------------------------------------------+-----------------------------------------------------------------+ | ``core`` | Residues that have changed accessibility area and at least one atom with zero accessibility in PPI interfaces | `PMID:22559010 `__ | +-------------------+-----------------------------------------------------------------------------------------------------------------+-----------------------------------------------------------------+ | ``disorder`` | Intrinsic structural disorder-promoting, order-promoting and neutral amino acids | `PMID:11381529 `__ | +-------------------+-----------------------------------------------------------------------------------------------------------------+-----------------------------------------------------------------+ | ``charge`` | Charged/non-charged amino acids | `Wikipedia `__ | +-------------------+-----------------------------------------------------------------------------------------------------------------+-----------------------------------------------------------------+ | ``pH`` | Amino acid pH level | `Wikipedia `__ | +-------------------+-----------------------------------------------------------------------------------------------------------------+-----------------------------------------------------------------+ | ``polarity`` | Polar/non-polar amino acids | `Wikipedia `__ | +-------------------+-----------------------------------------------------------------------------------------------------------------+-----------------------------------------------------------------+ | ``hydropathy`` | Amino acid hydropathy | `Wikipedia `__ | +-------------------+-----------------------------------------------------------------------------------------------------------------+-----------------------------------------------------------------+ | ``volume`` | Amino acid volume | `Wikipedia `__ | +-------------------+-----------------------------------------------------------------------------------------------------------------+-----------------------------------------------------------------+ | ``strength`` | Strongly-interacting amino acids / amino acids depleted by purifying selection in thymus | `PMID:18946038 `__ | +-------------------+-----------------------------------------------------------------------------------------------------------------+-----------------------------------------------------------------+ | ``mjenergy`` | Mean value of MJ statistical potential for each amino acid, used to derive 'strength' | `PMID:8604144 `__ | +-------------------+-----------------------------------------------------------------------------------------------------------------+-----------------------------------------------------------------+ | ``kf1``..``kf10`` | Values of 10 Kidera factors summarizing physicochemical properties of amino acids | unpublished | +-------------------+-----------------------------------------------------------------------------------------------------------------+-----------------------------------------------------------------+ Tabular output ~~~~~~~~~~~~~~ A summary table with averaged amino acid property values is generated, suffixed ``cdr3aa.profile.[wt or unwt based on -u].txt``. The table contains the following columns: +---------------+---------------------------------------------------------------------------------------------------------------+ | Column | Description | +===============+===============================================================================================================+ | sample\_id | Sample unique identifier | +---------------+---------------------------------------------------------------------------------------------------------------+ | ... | Sample metadata columns. See `Metadata `__ section | +---------------+---------------------------------------------------------------------------------------------------------------+ | region | Current CDR3 sub-region, see above | +---------------+---------------------------------------------------------------------------------------------------------------+ | property | Amino acid physical property name, see above | +---------------+---------------------------------------------------------------------------------------------------------------+ | mean | Mean property value | +---------------+---------------------------------------------------------------------------------------------------------------+ Graphical output ~~~~~~~~~~~~~~~~ none -------------- .. _Annotate2: Annotate ^^^^^^^^ This routine will compute a set of properties for each clonotype's CDR3 sequence and append them to resulting clonotype table. For example, number of added N-nucleotides and the sum of polar amino acids in CDR3. The main difference from :ref:`CalcCdrAAProfile` is that the former computes sample-level average while this routine performs calculation on clonotype level. Command line usage ~~~~~~~~~~~~~~~~~~ .. code-block:: bash $VDJTOOLS Annotate \ [options] [sample1.txt sample2.txt ... if -m is not specified] output_prefix Parameters: +-------------+-----------------------+--------------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | Shorthand |      Long name      | Argument | Description | +=============+=======================+====================+===========================================================================================================================================================================================================================================================================+ | ``-m`` | ``--metadata`` | path | Path to metadata file. See :ref:`common_params` | +-------------+-----------------------+--------------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | ``-b`` | ``--base`` | param1,param2,... | Comma-separated list of basic clonotype features to calculate and append to resulting clonotype tables. See below for allowed values. Default: ``cdr3Length,ndnSize,insertSize`` | +-------------+-----------------------+--------------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | ``-a`` | ``--aaprop`` | property1,... | Comma-separated list of amino acid properties. Amino acid property value sum will be calculated for CDR3 sequence (blank annotations will be generated for non-coding clonotypes). See below for allowed values. Default: ``hydropathy,charge,polarity,strength,contact`` | +-------------+-----------------------+--------------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | ``-h`` | ``--help`` | | Display help message | +-------------+-----------------------+--------------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ List of basic annotation properties: +----------------+--------------------------------------------------------------------------------------------------+ | Name | Description | +================+==================================================================================================+ | ``cdr3Length`` | Length of CDR3 region | +----------------+--------------------------------------------------------------------------------------------------+ | ``NDNSize`` | Number of nucleotides between last base of V germline and first base of J germline parts of CDR3 | +----------------+--------------------------------------------------------------------------------------------------+ | ``insertSize`` | Number of added N-nucleotides | +----------------+--------------------------------------------------------------------------------------------------+ | ``VDIns`` | Number of added N-nucleotides in V-D junction or ``-1`` if D segment is undefined | +----------------+--------------------------------------------------------------------------------------------------+ | ``DJIns`` | Number of added N-nucleotides in D-J junction or ``-1`` if D segment is undefined | +----------------+--------------------------------------------------------------------------------------------------+ See :ref:`CalcCdrAAProfile` for the list of amino acid properties available for annotation. Sum of specified amino acid property values across all amino acids of CDR3 will be computed. It can be divided by ``cdr3Length / 3`` basic property value to get the average. Tabular output ~~~~~~~~~~~~~~ Processed samples will have additional annotation columns appended to VDJtools clonotype table columns. Those columns will be prefixed with ``base.`` for basic CDR3 properties and ``aaprop.`` for CDR3 amino acid composition properties. A metadata file will be created for resulting samples with ``annot:[-b value]:[-a value]`` appended to the ``..filter..`` metadata column. Graphical output ~~~~~~~~~~~~~~~~ none ---------------- .. _ScanDatabase: ScanDatabase (DEPRECATED since v1.0.5, use `VDJmatch `__) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ Annotates a set of samples using immune receptor database based on V-(D)-J junction matching. By default uses `VDJdb `__, which contains CDR3 sequences, Variable and Joining segments of known specificity obtained using literature mining. This routine supports user-provided databases and allows flexible filtering of results based on database fields. The output of ScanDatabase includes both detailed (clonotype-wise) annotation of samples and summary statistics. Only amino-acid CDR3 sequences are used in database querying. Command line usage ~~~~~~~~~~~~~~~~~~ .. code-block:: bash $VDJTOOLS ScanDatabase \ [options] [sample1.txt sample2.txt ... if -m is not specified] output_prefix Parameters: +-------------+-----------------------+------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | Shorthand |      Long name      | Argument | Description | +=============+=======================+==================+===================================================================================================================================================================================+ | ``-m`` | ``--metadata`` | path | Path to metadata file. See :ref:`common_params` | +-------------+-----------------------+------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | ``-D`` | ``--database`` | path | Path to an external database file. Will use built-in VDJdb if not specified. | +-------------+-----------------------+------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | ``-d`` | ``--details`` | | Will provide a detailed output for each sample with annotated clonotype matches | +-------------+-----------------------+------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | ``-f`` | ``--fuzzy`` | | Will query database allowing at most 2 substitutions, 1 deletion and 1 insertion but no more than 2 mismatches simultaneously. If not set, only exact matches will be reported | +-------------+-----------------------+------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | | ``--filter`` | ``expression`` | Logical pre-filter on database columns. See below | +-------------+-----------------------+------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | | ``--v-match`` | | V segment must to match | +-------------+-----------------------+------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | | ``--j-match`` | | J segment must to match | +-------------+-----------------------+------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | ``-h`` | ``--help`` | | Display help message | +-------------+-----------------------+------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ .. note:: Database filter is a logical expression that contains reference to input table columns. Database column name references should be surrounded with double underscores (``__``). Syntax supports Regex and standard Java/Groovy functions such as ``.contains()``, ``.startsWith()``, etc. Here are some examples: .. code-block:: groovy __origin__=~/EBV/ !(__origin__=~/CMV/) Note that the expression should be quoted: ``--filter "__origin__=~/HSV/"`` Tabular output ~~~~~~~~~~~~~~ A summary table suffixed ``annot.[database name].summary.txt`` is generated. First header line marked with ``##FILTER`` contains filtering expression that was used. The table contains the following columns: +----------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | Column | Description | +==================================+==================================================================================================================================================================================================================================================================================================+ | sample\_id | Sample unique identifier | +----------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | ... | Sample metadata columns. See `Metadata `__ section | +----------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | diversity | Number of clonotypes in sample | +----------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | match\_size | Number of matches between sample and database. In case ``--fuzzy`` mode is on, all matches will be counted. E.g. if clonotype ``a`` in the sample matches clonotypes ``A`` and ``B`` in the database and clonotype ``b`` in the sample matches clonotype B the value in this column will be 3. | +----------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | sample\_diversity\_in\_matches | Number of unique clonotypes in the sample that matched clonotypes from the database | +----------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | db\_diversity\_in\_matches | Number of unique clonotypes in the database that matched clonotypes from the sample | +----------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | sample\_freq\_in\_matches | Overall frequency of unique clonotypes in the sample that matched clonotypes from the database | +----------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | mean\_matched\_clone\_size | Geometric mean of frequency of unique clonotypes in the sample that matched clonotypes from the database | +----------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ Detailed database query results will be also reported for each sample if ``-d`` is specified. Those tables are suffixed ``annot.[database name].[sample id].txt`` and contain the following columns. +-------------------+-----------------------------------------------------------------------+ | Column | Description | +===================+=======================================================================+ | score | CDR3 sequence alignment score | +-------------------+-----------------------------------------------------------------------+ | query\_cdr3aa | Query CDR3 amino acid sequence | +-------------------+-----------------------------------------------------------------------+ | query\_v | Query Variable segment | +-------------------+-----------------------------------------------------------------------+ | query\_j | Query Joining segment | +-------------------+-----------------------------------------------------------------------+ | subject\_cdr3aa | Subject CDR3 amino acid sequence | +-------------------+-----------------------------------------------------------------------+ | subject\_v | Subject Variable segment | +-------------------+-----------------------------------------------------------------------+ | subject\_j | Subject Joining segment | +-------------------+-----------------------------------------------------------------------+ | v\_match | ``true`` if Variable segments of query and subject clonotypes match | +-------------------+-----------------------------------------------------------------------+ | j\_match | ``true`` if Joining segments of query and subject clonotypes match | +-------------------+-----------------------------------------------------------------------+ | mismatches | Comma-separated list of query->subject mismatches | +-------------------+-----------------------------------------------------------------------+ | ... | Database fields corresponding to subject clonotype | +-------------------+-----------------------------------------------------------------------+ Graphical output ~~~~~~~~~~~~~~~~ nonevdjtools-1.2.1+git20190311/doc/conf.py000644 001750 001750 00000021767 13525023773 020207 0ustar00moellermoeller000000 000000 # -*- coding: utf-8 -*- # # vdjtools documentation build configuration file, created by # sphinx-quickstart on Tue Mar 24 17:33:45 2015. # # This file is execfile()d with the current directory set to its # containing dir. # # Note that not all possible configuration values are present in this # autogenerated file. # # All configuration values have a default; values that are commented out # serve to show the default. import sys import os import shlex # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. 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The pseudo-XML files are in $(BUILDDIR)/pseudoxml." vdjtools-1.2.1+git20190311/doc/usage.rst000644 001750 001750 00000005221 13525023773 020531 0ustar00moellermoeller000000 000000 Usage ----- Command line usage ^^^^^^^^^^^^^^^^^^ General way to execute VDJtools routines would be the following, .. code-block:: bash java -Xmx16G -jar vdjtools.jar RoutineName [arguments] -m metadata.txt output/prefix Output prefix could be either an output directory name (if ended with ``/``) or an output file prefix. Most VDJtools routines will append the prefix with an intuitive suffix and extension. The ``-m metadata.txt`` argument specifies a metadata file with relative sample paths, sample names and any other information to provide this information later in analysis. For more details, see the :ref:`metadata` section. Alternatively, ``-m`` argument could be substituted with a space-separated list of files, e.g. .. code-block:: bash java -Xmx16G -jar vdjtools.jar RoutineName sample1.txt[.gz] sample2.txt[.gz] ... output/prefix Whether not explicitly used (such as in "...Plot" routines) and applicable, plotting is turned on with ``-p`` argument. The ``-h`` argument will bring up help message for specified routine. .. warning:: Consider allocating sufficient memory for Java Virtual Machine when running the pipeline. To do so, execute the java with the ``-Xmx`` argument, e.g.: .. code-block:: bash java -Xmx16G -jar vdjtools.jar RoutineName [arguments] If insufficient amount memory is allocated, the Java Virtual Machine could drop with a *Java Heap Space Out of Memory* error. .. warning:: Due to JAR loading overhead, running VDJtools for a batch of samples should be preferred to running VDJtools separately for each sample if possible. See :ref:`metadata` section for more details. .. tip:: Some routines could be memory demanding, especially when running sample intersection/joining/pooling with a high number of large (~1,000,000 clonotypes) datasets. Setting the ``-Xmx`` argument to 20-60Gb of memory should be enough for most purposes, e.g. 100 samples with 500,000 clonotypes on average. Another way to work this around is to down-sample datasets to ~100,000 reads each using the :ref:`downsample` routine. Importing clonotype tables ^^^^^^^^^^^^^^^^^^^^^^^^^^ In order to proceed with VDJtools analysis datasets should be converted to VDJtools format (see :ref:`vdjtools_format`). To do this run either of the following commands: .. code-block:: bash java -Xmx16G -jar vdjtools.jar Convert -S software -m metadata.txt ... output_dir/ or .. code-block:: bash java -Xmx16G -jar vdjtools.jar Convert -S software sample1.txt[.gz] sample2.txt[.gz] ... output_dir/ An additional ``-c`` flag could be set to compress output files. vdjtools-1.2.1+git20190311/doc/_static/000755 001750 001750 00000000000 13525023773 020321 5ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/doc/_static/images/000755 001750 001750 00000000000 13525023773 021566 5ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/doc/_static/images/vdjviz.png000644 001750 001750 00000520071 13525023773 023615 0ustar00moellermoeller000000 000000 PNG  IHDR#iCCPICC ProfileXY 8_yp,3g2I$xg,HN]# Td#1#Vbna`z?#F Hpn F |Fk"_SxoFn[B5jh3䩅TY2Z/͟^X=+:d,10q+`z!cbwd`rƜq?:h!ZG@-DM+È,o߿ZZ7 uj#Ok)~?Z 7up7` Hӛ6ďJYy{Aס M FNd/^`ݼ2 l;sbGFBoeY:Bs* Ȅɦmr w 37"Șd"PZ@K`~d}A: @2Hg@@ (7mP C<}xX ! !qHR4 } !7 "#P".@ T=@+4 }VQ0 ňB P(m):A%NPŨCS 8j0% 2 [.7L48.dƢмh $>hAt$]nG?GCϣaN8Fcq`0ɘ\LQS%,ˌ*!{==-Vc[ "cÉq8.;k p?x,'sM4~BB’“""bb@G&cq㓧g笗Yiou3>>Y>s~~/X\ t p M?z0<ٔ\ gD^u#D"GԈ̏uݡCbѩ11W{n=wؑwڱ8֣GNƗ# 8,A:lBcbCWR|qj'R)~)=rSyuK禯8uJTީާ{23. >3Y~lى,l셜9OrsE3˫;/p ^Wp,z\ԺXUU^zˆksK%%JJ;(_(c/K/۸|uܦB経JTeDu}7nUIT]fN nFxmۭwT[p^Z T]3_[;^\_oRڠp|d46c[B[Q}RߥUTiMBg (*5ox\A/,^vrUo##k`ޤҎq}[=8޻_OxL| \J@;3]1#;8k0qǩO?}."WNS6BRrO++kQ э_lmnȤW(oo_ w INDb8v<+A҂*xfNދqY%Ñ$gt6Q91os$Dee+^(e)ԨCTWpLպFapưh2034Ȱk-C)*.λ.[;$6w mO^>$_[=Px`sХPd0|𡈦Cqс1·*)U>f~xrҔ;-iC'ߞ>9̥Y٫sLy^?ZWXu#% eUr kQ׳oܮvۻaT6=okhރꦊ撖‡9imG;l)vv<i[g=սy}aā_( a_Ft"fz4sLmlqOLՓ+Svh9>+5;S/_ޛw~d,/8\ؐ^~&gз0X':^B LJJmMAGWD0DˬBbMa>I%ǽ'2_B< "ƢnbYoItKHedȹȇ++*+?SyΡ!isSOސHX,Eeqd4iINv.z{5] :vyϫߜ_@C`EP~pFHB(+Y+'l-Eč(C12]+VbNR}&'RRIiү|tj3˙gdgΙry *e='f/M]~[񕦲ƫ]埯U^pU5M[)rOƳ6ns_Me͍-MimYŮO#mI{FzoX?a=>2ՉotGGߞwz'DdZTӃ3%G?}%k|7 Q~K4w~|yojcd{A;d DyX8-`+x_ )BeUцZf] }Cc, :(: gWw O>o._ dHA0On"0q|(Ya 2dTJ9N*l*T <Ȫc4j43|ttii!F^&&yf86DKc+VM6YvjD1GLߺ A}uû Z;BjGs9J98'2MxyFyǯ#*IaoQA1zqn^Z^N/";#7,ߥPRkj{խ54õھ:Nz*ʆFL.v[pX[ wZ9lKN\ƻ>} ܭם3wϤ?s\]PdЏd0Ȉ#hc2=:q'6+9<z"}24GF[fBS9jj*EŏJ#8>pd>Zq=#OiZȭe:Onw, ~~912f-08%0m4;5GrJZz¯G!p 7&! 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[wnwdА8.Y|ݒ rZom/6uƱty? S%#ݻ7wϞj\e- @; @zw~)7At-@~}bfqe%aeM^Mc,`O?o*؏< ̬OߖHfomm2e`[M/7oeɾ$Эs m @ @@p/ @&@ Әٷ& 淄o^<覞/B k9{g5%!tvKf|yґCyeO?֙yݵ,rPFڵG2j!vږ`=ֶ3UtKMӖdB_*ڽn,{Ï}_{ @ @/ԔB @,&x,^= t߬J5'ح̚G?%\g7-P[~ B3[4 .vu-z?wO|ڣk3{=A᣾N_1>~J=Tsˀ t_UomZ座/9 @ @`\߷w @Ȍlun ܗϞUÿ>Ffr~]ט-CuIZN;]լ{?icmD]{k^C @vQ@M @:&^50 #f#gfMPYCJf?iO(ߖӚֿ sE=/>i|7A3fpC9YYK/Oh㲶* @ Oߧv @Bݛ:ˡ-kΦ&^d)/b' \#ת3{ķ[S*ev;}%e3S=Fۘml1PW=6i.&*ߛ 8q8ELYd~#@ @* \מw @ @ @,Kc  @ @ @ @`m& @ @ @LJ@>X @ @ @؆p}I @ @ @O4 @ @ @! \߆k @ @ @ @.%@ @ @ @m׷ @ @ @ 0)~jʤZ @ @ @ @\?cp#@ @ @ @ קgZL @ @ @g, \?cp#@ @ @ @ קgZL @ @ @g, \?cp#@ @ @ @ קgZL @ @ @g,_;IENDB`vdjtools-1.2.1+git20190311/doc/browser.rst000644 001750 001750 00000001476 13525023773 021120 0ustar00moellermoeller000000 000000 VDJviz ------ In order to demonstrate VDJtools API features, a lightweight immune repertoire browser **VDJviz** was implemented by [@bvdmitri](https://github.com/bvdmitri). It allows visualizing and comparing various immune repertoire features such as spectratypes and rarefaction curves. \* To try it out register at `vdjviz.milaboratory.com `__ and upload files from ``examples/`` folder of VDJtools repository [[images/vdjviz.png]] **NOTE:** Currently there is an upload limit of 25 files with at most 10,000 clonotypes - VDJviz is a `Play framework `__ application that uses `D3js `__ for interactive visualization of VDJtools output - Source code is available at `this `__ repository vdjtools-1.2.1+git20190311/doc/preprocess.rst000644 001750 001750 00000065417 13525023773 021627 0ustar00moellermoeller000000 000000 .. _preprocess: Pre-processing -------------- .. note:: Most of routines specified in this section will output processed clonotype tables and re-normalize individual clonotype frequencies by dividing their read count by the total read count in resulting (filtered/processed) sample. For some of the routines this behavior can be disabled with ``--save-freqs`` option. In this case original clonotype frequencies will be carried over from input samples and they will likely not sum to ``1.0`` in the resulting clonotype table. .. _Correct: Correct ^^^^^^^ Performs frequency-based correction to eliminate erroneous clonotypes. Searches the sample for clonotype pairs that differ by one, two ... (up to specified depth) mismatches. In case the ratio of smallest to largest clonotype sizes is lower than the threshold specified as ``ratio ^ number_of_mismatches`` correction is performed. Largest clonotype in pair increases its size by the read count of the smaller one and the smaller one is discarded. Note that the original sample is not changed during correction, so all comparisons are performed with original count values and erroneous clonotypes are only removed after search procedure is finished. It is also possible to restrict correction to clonotypes with identical V/J segments using ``-a`` option. Command line usage ~~~~~~~~~~~~~~~~~~ .. code-block:: bash $VDJTOOLS Correct \ [options] [sample1.txt sample2.txt ... if -m is not specified] output_prefix Parameters: +-----------+---------------------+----------+---------------------------------------------------------------------------------------------------------------------+ | Shorthand | Long name | Argument | Description | +===========+=====================+==========+=====================================================================================================================+ | ``-m`` | ``--metadata`` | path | Path to metadata file. See :ref:`common_params` | +-----------+---------------------+----------+---------------------------------------------------------------------------------------------------------------------+ | ``-d`` | ``--depth`` | 1+ | Maximum number of mismatches allowed between clonotypes being compared. Default is 2 | +-----------+---------------------+----------+---------------------------------------------------------------------------------------------------------------------+ | ``-r`` | ``--ratio`` | [0, 1) | Child-to-parent clonotype size ratio threshold under which child clonotype is considered erroneous. Default is 0.05 | +-----------+---------------------+----------+---------------------------------------------------------------------------------------------------------------------+ | ``-a`` | ``--match-segment`` | | Check for erroneous clonotypes only among those that have identical V and J assignments | +-----------+---------------------+----------+---------------------------------------------------------------------------------------------------------------------+ | ``-c`` | ``--compress`` | | Compress output sample files | +-----------+---------------------+----------+---------------------------------------------------------------------------------------------------------------------+ | ``-h`` | ``--help`` | | Display help message | +-----------+---------------------+----------+---------------------------------------------------------------------------------------------------------------------+ Tabular output ~~~~~~~~~~~~~~ Outputs corrected samples to the path specified by output prefix and creates a corresponding metadata file. Will also append ``corr:[-d option value]:[-r option value]:['vjmatch' or 'all' based on -a option]`` to ``..filter..`` metadata column. Graphical output ~~~~~~~~~~~~~~~~ none -------------- .. _Decontaminate: Decontaminate ^^^^^^^^^^^^^ Cross-sample contamination can occur at library prep stage, for example sample barcode swithing resulting from PCR chimeras. Those could lead to a high number of artificial shared clonotypes for samples sequenced in the same batch. If no sophisticated library prep method (e.g. paired-end barcoding) is applied, it is highly recommended to filter those before performing any kind of cross-sample analysis. This routine filters out all clonotypes that have a matching clonotype in a different sample which is ``-r`` times more abundant. Clonotype fractions within samples are considered, which is good for dealing with FACS-related contaminations. In case of dealing with cross-sample contaminations in samples coming from the same sequencing lane use ``--read-based`` option that tells the routine to compare read counts. Command line usage ~~~~~~~~~~~~~~~~~~ .. code-block:: bash $VDJTOOLS Decontaminate \ [options] [sample1.txt sample2.txt ... if -m is not specified] filter_sample output_prefix Parameters ~~~~~~~~~~ +-------------+-----------------------+------------+--------------------------------------------------------------------------------------------------------------------------+ | Shorthand |      Long name      | Argument | Description | +=============+=======================+============+==========================================================================================================================+ | ``-S`` | ``--software`` | string | Input format. See :ref:`common_params` | +-------------+-----------------------+------------+--------------------------------------------------------------------------------------------------------------------------+ | | ``--read-based`` | string | If set will compare clonotype read counts. Clonotype fractions in corresponding samples are compared by default. | +-------------+-----------------------+------------+--------------------------------------------------------------------------------------------------------------------------+ | ``-m`` | ``--metadata`` | path | Path to metadata file. See :ref:`common_params` | +-------------+-----------------------+------------+--------------------------------------------------------------------------------------------------------------------------+ | ``-r`` | ``--ratio`` | numeric | Parent-to-child clonotype frequency ratio for contamination filtering. Defaults to ``20`` | +-------------+-----------------------+------------+--------------------------------------------------------------------------------------------------------------------------+ | ``-c`` | ``--compress`` | | Compress output sample files | +-------------+-----------------------+------------+--------------------------------------------------------------------------------------------------------------------------+ | ``-h`` | ``--help`` | | Display help message | +-------------+-----------------------+------------+--------------------------------------------------------------------------------------------------------------------------+ Tabular output ~~~~~~~~~~~~~~ Outputs filtered samples to the path specified by output prefix and creates a corresponding metadata file. Will also append ``dec:[-r value]`` to ``..filter..`` metadata column. Graphical output ~~~~~~~~~~~~~~~~ none -------------- .. _DownSample: DownSample ^^^^^^^^^^ Down-samples a list of clonotype abundance tables by randomly selecting a pre-defined number of reads or clonotypes. This routine could be useful for - normalizing samples to remove certain biases for depth-dependent statistics - speeding up computation / decreasing file size and memory footprint. Command line usage ~~~~~~~~~~~~~~~~~~ .. code-block:: bash $VDJTOOLS DownSample \ [options] [sample1.txt sample2.txt ... if -m is not specified] output_prefix Parameters: +-------------+-----------------------+------------+--------------------------------------------------+ | Shorthand |      Long name      | Argument | Description | +=============+=======================+============+==================================================+ | ``-m`` | ``--metadata`` | path | Path to metadata file. See :ref:`common_params` | +-------------+-----------------------+------------+--------------------------------------------------+ | ``-x`` | ``--size`` | integer | Number of reads/clonotypes to take. **Required** | +-------------+-----------------------+------------+--------------------------------------------------+ | ``-u`` | ``--unweighted`` | | Will not weight clonotypes by frequency | +-------------+-----------------------+------------+--------------------------------------------------+ | ``-c`` | ``--compress`` | | Compress output sample files | +-------------+-----------------------+------------+--------------------------------------------------+ | ``-h`` | ``--help`` | | Display help message | +-------------+-----------------------+------------+--------------------------------------------------+ Tabular output ~~~~~~~~~~~~~~ Outputs sub-samples to the path specified by output prefix and creates a corresponding metadata file. Will also append ``ds:[-x value]`` to ``..filter..`` metadata column. Graphical output ~~~~~~~~~~~~~~~~ none -------------- .. _FilterNonFunctional: FilterNonFunctional ^^^^^^^^^^^^^^^^^^^ Filters non-functional (non-coding) clonotypes, i.e. the ones that contain a stop codon or frameshift in their receptor sequence. Those clonotypes do not have any functional role, but they are useful for dissecting and studying the V-(D)-J recombination machinery as they do not pass thymic selection. Command line usage ~~~~~~~~~~~~~~~~~~ .. code-block:: bash $VDJTOOLS FilterNonFunctional \ [options] [sample1.txt sample2.txt ... if -m is not specified] output_prefix Parameters: +-------------+-----------------------+------------+----------------------------------------------------------------------------------------------------+ | Shorthand |      Long name      | Argument | Description | +=============+=======================+============+====================================================================================================+ | ``-m`` | ``--metadata`` | path | Path to metadata file. See :ref:`common_params` | +-------------+-----------------------+------------+----------------------------------------------------------------------------------------------------+ | ``-e`` | ``--negative`` | | Negative filtering, i.e. only non-functional clonotypes are retained | +-------------+-----------------------+------------+----------------------------------------------------------------------------------------------------+ | ``-e`` | ``--negative`` | | Negative filtering, i.e. only non-functional clonotypes are retained | +-------------+-----------------------+------------+----------------------------------------------------------------------------------------------------+ | | ``--save-freqs`` | | Don't re-calculate clonotype frequencies and use those from original sample (no re-normalization) | +-------------+-----------------------+------------+----------------------------------------------------------------------------------------------------+ | ``-h`` | ``--help`` | | Display help message | +-------------+-----------------------+------------+----------------------------------------------------------------------------------------------------+ Tabular output ~~~~~~~~~~~~~~ Outputs filtered samples to the path specified by output prefix and creates a corresponding metadata file. Will also append ``ncfilter:[retain or remove based on -e option]`` to ``..filter..`` metadata column. Creates a filter summary file with a ``ncfilter.summary.txt`` suffix containing info on the number of unique clonotypes that passed the filtering process, their total frequency and count. Graphical output ~~~~~~~~~~~~~~~~ none -------------- .. _SelectTop: SelectTop ^^^^^^^^^ Selects top N clonotypes from the sample. Useful for studying exapanded clonotypes and clonotypes with strong convergent recombination bias, as well as robust computing of unweighted statistics. Command line usage ~~~~~~~~~~~~~~~~~~ .. code-block:: bash $VDJTOOLS SelectTop \ [options] [sample1.txt sample2.txt ... if -m is not specified] output_prefix Parameters: +-------------+-----------------------+------------+----------------------------------------------------------------------------------------------------+ | Shorthand |      Long name      | Argument | Description | +=============+=======================+============+====================================================================================================+ | ``-m`` | ``--metadata`` | path | Path to metadata file. See :ref:`common_params` | +-------------+-----------------------+------------+----------------------------------------------------------------------------------------------------+ | ``-x`` | ``--top`` | integer | Number of top clonotypes to take. **Required** | +-------------+-----------------------+------------+----------------------------------------------------------------------------------------------------+ | | ``--save-freqs`` | | Don't re-calculate clonotype frequencies and use those from original sample (no re-normalization) | +-------------+-----------------------+------------+----------------------------------------------------------------------------------------------------+ | ``-c`` | ``--compress`` | | Compress output sample files | +-------------+-----------------------+------------+----------------------------------------------------------------------------------------------------+ | ``-h`` | ``--help`` | | Display help message | +-------------+-----------------------+------------+----------------------------------------------------------------------------------------------------+ Tabular output ~~~~~~~~~~~~~~ Outputs sub-samples to the path specified by output prefix and creates a corresponding metadata file. Will also append ``top:[-x value]`` to ``..filter..`` metadata column. Graphical output ~~~~~~~~~~~~~~~~ none -------------- .. _FilterByFrequency: FilterByFrequency ^^^^^^^^^^^^^^^^^ Selects clonotypes that either have a frequency above the specified threshold and/or constitute more than a specified percent of reads (e.g. quantile threshold of 0.25 will top N clonotypes that in total contain 25% of reads in the sample). Those two filters can be used together or separately by setting either frequency threshold to 0 or quantile threshold to 1. Command line usage ~~~~~~~~~~~~~~~~~~ .. code-block:: bash $VDJTOOLS FilterByFrequency \ [options] [sample1.txt sample2.txt ... if -m is not specified] output_prefix Parameters: +-------------+--------------------------+-------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------+ | Shorthand |      Long name      | Argument | Description | +=============+==========================+=============+===========================================================================================================================================================+ | ``-m`` | ``--metadata`` | path | Path to metadata file. See :ref:`common_params` | +-------------+--------------------------+-------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------+ | ``-f`` | ``--freq-threshold`` | ``0.0-1.0`` | Clonotype frequency threshold. Default is ``0.01`` | +-------------+--------------------------+-------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------+ | ``-q`` | ``--quantile-threshold`` | ``0.0-1.0`` | Quantile threshold. Will retain a set of top N clonotypes so that their total frequency is equal or less to the specified threshold. Default is ``0.25`` | +-------------+--------------------------+-------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------+ | | ``--save-freqs`` | | Don't re-calculate clonotype frequencies and use those from original sample (no re-normalization) | +-------------+--------------------------+-------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------+ | ``-c`` | ``--compress`` | | Compress output sample files | +-------------+--------------------------+-------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------+ | ``-h`` | ``--help`` | | Display help message | +-------------+--------------------------+-------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------+ Tabular output ~~~~~~~~~~~~~~ Outputs filtered samples to the path specified by output prefix and creates a corresponding metadata file. Will also append ``freqfilter:[-f value]:[-q value]`` to ``..filter..`` metadata column. Graphical output ~~~~~~~~~~~~~~~~ none -------------- .. _ApplySampleAsFilter: ApplySampleAsFilter ^^^^^^^^^^^^^^^^^^^ Retains/filters out all clonotypes found in a given sample **S** from other samples. Useful when **S** contains some specific cells of interest e.g. tumor-infiltrating T-cells or sorted tetramer+ T-cells. Command line usage ~~~~~~~~~~~~~~~~~~ .. code-block:: bash $VDJTOOLS ApplySampleAsFilter \ [options] [sample1.txt sample2.txt ... if -m is not specified] filter_sample output_prefix Parameters: +-------------+------------------------+------------+----------------------------------------------------------------------------------------------------+ | Shorthand |      Long name      | Argument | Description | +=============+========================+============+====================================================================================================+ | ``-m`` | ``--metadata`` | path | Path to metadata file. See :ref:`common_params` | +-------------+------------------------+------------+----------------------------------------------------------------------------------------------------+ | ``-i`` | ``--intersect-type`` | string | Sample intersection rule. Defaults to ``strict``. See :ref:`common_params` | +-------------+------------------------+------------+----------------------------------------------------------------------------------------------------+ | ``-e`` | ``--negative`` | | Negative filtering, i.e. only clonotypes absent in sample *S* are retained | +-------------+------------------------+------------+----------------------------------------------------------------------------------------------------+ | | ``--save-freqs`` | | Don't re-calculate clonotype frequencies and use those from original sample (no re-normalization) | +-------------+------------------------+------------+----------------------------------------------------------------------------------------------------+ | ``-c`` | ``--compress`` | | Compress output sample files | +-------------+------------------------+------------+----------------------------------------------------------------------------------------------------+ | ``-h`` | ``--help`` | | Display help message | +-------------+------------------------+------------+----------------------------------------------------------------------------------------------------+ Tabular output ~~~~~~~~~~~~~~ Outputs filtered samples to the path specified by output prefix and creates a corresponding metadata file. Will also append ``asaf:[- if -e, + otherwise]:[-i value]`` to ``..filter..`` metadata column. Graphical output ~~~~~~~~~~~~~~~~ none -------------- .. _FilterBySegment: FilterBySegment ^^^^^^^^^^^^^^^ Filters clonotypes that have V/D/J segments that match a specified segment set. Command line usage ~~~~~~~~~~~~~~~~~~ .. code-block:: bash $VDJTOOLS FilterBySegment \ [options] [sample1.txt sample2.txt ... if -m is not specified] output_prefix Parameters: +-------------+-----------------------+------------+-------------------------------------------------------------------------------------------------------------+ | Shorthand |      Long name      | Argument | Description | +=============+=======================+============+=============================================================================================================+ | ``-m`` | ``--metadata`` | path | Path to metadata file. See :ref:`common_params` | +-------------+-----------------------+------------+-------------------------------------------------------------------------------------------------------------+ | ``-n`` | ``--negative`` | | Retain only clonotypes that lack specified V/D/J segments. | +-------------+-----------------------+------------+-------------------------------------------------------------------------------------------------------------+ | ``-v`` | ``--v-segments`` | v1,v2,... | A comma-separated list of Variable segment names. Non-matching incomplete names will be partially matched. | +-------------+-----------------------+------------+-------------------------------------------------------------------------------------------------------------+ | ``-d`` | ``--d-segments`` | d1,d2,... | A comma-separated list of Diversity segment names. Non-matching incomplete names will be partially matched. | +-------------+-----------------------+------------+-------------------------------------------------------------------------------------------------------------+ | ``-j`` | ``--j-segments`` | j1,j2,... | A comma-separated list of Joining segment names. Non-matching incomplete names will be partially matched. | +-------------+-----------------------+------------+-------------------------------------------------------------------------------------------------------------+ | | ``--save-freqs`` | | Don't re-calculate clonotype frequencies and use those from original sample (no re-normalization) | +-------------+-----------------------+------------+-------------------------------------------------------------------------------------------------------------+ | ``-c`` | ``--compress`` | | Compress output sample files | +-------------+-----------------------+------------+-------------------------------------------------------------------------------------------------------------+ | ``-h`` | ``--help`` | | Display help message | +-------------+-----------------------+------------+-------------------------------------------------------------------------------------------------------------+ Tabular output ~~~~~~~~~~~~~~ Outputs filtered samples to the path specified by output prefix and creates a corresponding metadata file. Will also append ``segfilter:[retain or remove based on -e option]:[-v value]:[-d value]:[-j value]`` to ``..filter..`` metadata column. Creates a filter summary file with a ``segfilter.summary.txt`` suffix containing info on the number of unique clonotypes that passed the filtering process, their total frequency and count. Graphical output ~~~~~~~~~~~~~~~~ none vdjtools-1.2.1+git20190311/doc/index.rst000644 001750 001750 00000003344 13525023773 020540 0ustar00moellermoeller000000 000000 .. vdjtools documentation master file, created by sphinx-quickstart on Tue Mar 24 17:33:45 2015. You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. VDJtools: a framework for post-analysis of repertoire sequencing data ===================================================================== VDJtools is an open-source Java/Groovy-based framework designed to facilitate analysis of immune repertoire sequencing (`RepSeq `__) data. VDJtools computes a wide set of statistics and is able to perform various forms of cross-sample analysis. Both comprehensive tabular output and publication-ready plots are provided. For the period of VDJtools development, there were no other software tools able to perform a comprehensive RepSeq post-analysis. Therefore most of the analysis of this kind was done using in-house scripts, which definitely leads to "re-inventing the bicycle" problem and loss of analysis reproducibility. The main aims of the **VDJtools Project** are: - To ensure consistency between post-analysis methods and results - To save the time of bioinformaticians analyzing RepSeq data - To create an API framework facilitating development of new RepSeq analysis applications - To provide a simple enough command line tool so it could be used by immunologists and biologists with little computational background VDJtools source code and binaries are located `here `__. Table of Contents ----------------- .. toctree:: :maxdepth: 2 intro install usage examples input modules basic diversity overlap preprocess operate annotate util vdjviz vdjtools-1.2.1+git20190311/doc/intro.rst000644 001750 001750 00000003107 13525023773 020561 0ustar00moellermoeller000000 000000 Introduction ------------ Features and workflow ^^^^^^^^^^^^^^^^^^^^^ .. figure:: _static/images/framework.png :align: center Prerequisites ^^^^^^^^^^^^^ Software ~~~~~~~~ As the core framework is complied into Java™ bytecode, it could in theory be run on any platform that has a Java Runtime Environment installed. The software is distributed in a form of an executable JAR file. Note that the graphical output requires `R `__ programming language and corresponding modules to be installed. See the :ref:`install` section for more details. Hardware ~~~~~~~~ VDJtools could be run on most of commodity hardware setups and is optimized to take advantage of parallel computations. The pipeline was successfully stress-tested using ~70 diverse samples containing repertoire snapshot of around 500,000 human T-cells on a UNIX server with 2x Intel Xeon E5-1620 and 64 Gb RAM. Input ~~~~~ The framework is currently able to import and analyze the output of the following V-(D)-J junction mapping software and analysis platforms: - MiTCR - MiGEC - IgBlast (via our MIGMAP wrapper) - IMGT - ImmunoSEQ - VDJdb - Vidjil - RTCR - MiXCR - ImSEQ For more details see the :ref:`software` section. VDJtools converts those files to its internal format (see :ref:`vdjtools_format`) which is used throughout the pipeline. .. note:: If this list is missing your favourite RepSeq processing software, please add a corresponding `feature request `__ Any contributions in form of pull requests are also welcome. vdjtools-1.2.1+git20190311/doc/examples.rst000644 001750 001750 00000021575 13525023773 021255 0ustar00moellermoeller000000 000000 Examples -------- There are several data bundles and shell scripts that cover most of VDJtools usage scenarios available in the `examples repository `__. All of the examples refer to a folder with clonotype abundance tables (``samples/``). They contain a sample metadata file (``metadata.txt``, see :ref:`metadata`) and a shell script ``run.sh`` that contains a line-by-line instructions to run various VDJtools routines. Sections below give a detailed explanation for post-analysis steps for the available example datasets. For more details on individual VDJtools routines see the :ref:`modules` section. .. important:: Samples in the repository are already converted to :ref:`vdjtools_format`. We assume that you have set the following variable pointing to VDJtools executable JAR file: .. code-block:: bash # Point to VDJtools executable and allocate enough memory for JVM VDJTOOLS="java -Xmx20G -jar vdjtools.jar" or in case the software was installed using Homebrew .. code-block:: bash VDJTOOLS="vdjtools -Xmx20G" Aging ^^^^^ .. figure:: _static/images/age-logo.jpg :align: center The aging experiment involving 39 healthy donors of various ages and both genders (see this `paper `__ for details). This example allows to have a look at how a diverse set of repertoire characteristics changes as we age. Post-analysis can be performed using the following commands: .. code-block:: bash # Basic analysis # Generate summary tables $VDJTOOLS CalcBasicStats -m metadata.txt out/0 $VDJTOOLS CalcSpectratype -m metadata.txt out/1 # -p for plotting, -f specifies metadata column for coloring, # -n tells that factor is continuous $VDJTOOLS CalcSegmentUsage -m metadata.txt -p -f age -n out/2 # the following routines run on a single sample $VDJTOOLS PlotFancySpectratype ../samples/A4-i125.txt.gz out/3 $VDJTOOLS PlotSpectratypeV ../samples/A4-i125.txt.gz out/4 $VDJTOOLS PlotFancyVJUsage ../samples/A4-i125.txt.gz out/5 # Diversity estimation # Plot clonality for a single sample $VDJTOOLS PlotQuantileStats ../samples/A4-i125.txt.gz out/6 # Compute sample diversity estimates $VDJTOOLS CalcDiversityStats -m metadata.txt out/7 # Perform rarefaction, -l specifies metadata column used as label $VDJTOOLS RarefactionPlot -m metadata.txt -f age -n -l sample.id out/8 # Sample overlapping # Overlap two replicate samples coming from the same donor $VDJTOOLS OverlapPair -p ../samples/A4-i189.txt.gz ../samples/A4-i190.txt.gz out/9 # computes various metrics characterizing the similarity between repertoires $VDJTOOLS CalcPairwiseDistances -m metadata.small.txt out/10 # plotting routine is separated from time-consuming batch intersection # sample clustering is performed on this stage. # Here we use relative sample overlap as metric and age as continuous factor $VDJTOOLS ClusterSamples -p -f age -n -l sample.id out/10 out/10.age # here we use Variable segment Jensen-Shannon divergence and sex as discrete factor $VDJTOOLS ClusterSamples -p -e vJSD -f sex -l sample.id out/10 out/10.sex # Demonstrate sample operations and filtering # Remove cross-sample contamination (-c produces compressed output) $VDJTOOLS Decontaminate -m metadata.txt -c out/dec/ # Down-sample datasets to 10,000 reads $VDJTOOLS Downsample -m metadata.txt -c -x 10000 out/ds/ # Filter non-coding clonotypes $VDJTOOLS FilterNonFunctional -m metadata.txt -c out/nf/ # Join samples into a single clonotype abundance matrix $VDJTOOLS JoinSamples -p -m metadata.small.txt out/12 # Pool samples together $VDJTOOLS PoolSamples -m metadata.small.txt out/13 # Annotate each clonotype in each sample with insert size, # total CDR3 hydrophobicity and other basic and amino acid properties $VDJTOOLS Annotate -m metadata.txt out/annot/ The code block above shows example usage for nearly all available commands. Rarefaction plot in the aging case displays a strong age-related diversity decrease. If running on a server with ~24GB of available RAM one can try out repertoire clustering for the whole experiment (replace ``metadata.small.txt`` with ``metadata.txt`` for corresponding routines) which will show some interesting age-related trends. .. figure:: _static/images/age-vusage.png :align: center :scale: 50 % **Variable segment usage in healthy donors of various age.** Note non-random sample grouping within dendrogram which can be attributed to stochastic antigen-driven expansion of clonotypes as we age. See :ref:`CalcSegmentUsage` for a detailed description of this plot. -------------- HSCT ^^^^ .. figure:: _static/images/hsct-logo.jpg :align: center Hematopoietic stem cell transfer (HSCT) is a great model for clonotype tracking and studying how the diversity of immune repertoire restores following myeloablation. Post-analysis can be performed using the following commands: .. code-block:: bash # Some basic analysis, same as above $VDJTOOLS CalcBasicStats -m metadata.txt out/0 $VDJTOOLS CalcSpectratype -m metadata.txt out/1 $VDJTOOLS CalcSegmentUsage -m metadata.txt -p -f "Time post HSCT, months" -n out/2 # Diversity estimates # Note that selecting the factor having spaces in its name requires using double quotes $VDJTOOLS CalcDiversityStats -m metadata.txt out/3 $VDJTOOLS RarefactionPlot -m metadata.txt -f "Time post HSCT, months" -n -l sample.id out/4 # Clonotype tracking # Show repertoire changes that happen directly after HSCT $VDJTOOLS OverlapPair -p ../samples/minus48months.txt.gz ../samples/4months.txt.gz out/5 # Next routine by default detects clonotypes that are present in 2 or more samples # and builds a time course for them, # but here we trace clonotypes from first time point setting -x 0 $VDJTOOLS TrackClonotypes -m metadata.txt -f "Time post HSCT, months" -x 0 -p out/6 :ref:`RarefactionPlot` output shows how repertoire diversity is lost and restored during post-HSCT period. The output of :ref:`ScanDatabase` displays that CMV- and EBV-specific clonotypes start to dominate in the repertoire: they comprise ~4% of repertoire prior to HSCT, but increase more than 2-fold in post-HSCT period. .. figure:: _static/images/hsct-stackplot.png :align: center :scale: 50 % **Clonotype abundance plot.** Stacked abundance for top 100 clonotypes at different time points is shown. -------------- Multiple sclerosis (MS) ^^^^^^^^^^^^^^^^^^^^^^^ .. figure:: _static/images/ms-logo.jpg :align: center MS is a complex autoimmune disorder that does not show a strong T-cell clonotype bias (see `Turner et al. `__). Still some high-level repertoire features such as diversity and segment usage are distinct between affected persons and healthy donors. .. code-block:: bash # Diversity estimation # Perform rarefaction analysis and compare repertoire diversity # between MS patients and healthy donors $VDJTOOLS RarefactionPlot -m metadata.txt -l sample_id -f state diversity/ $VDJTOOLS CalcDiversityStats -m metadata.txt diversity/ # Shows that MS cluster is not that compact as the # cluster of healthy donors suggesting # private nature of MS clonotypes # -i aa!nt is used to discard CDR3 nucleotide sequence matches # (note the ! character should be escaped when running on Unix system: \!) # and focus on amino-acid matches as strong cross-contamination is present $VDJTOOLS CalcPairwiseDistances -i aa\!nt -m metadata.txt overlap/ $VDJTOOLS ClusterSamples -p -f state -i aa\!nt overlap/ overlap/state $VDJTOOLS TestClusters -i aa\!nt overlap/state overlap/state # Shows V usage level trends and cluster samples based on V usage profiles $VDJTOOLS CalcSegmentUsage -m metadata.txt -p -f state vusage/ # Shows details of repertoire changes for MS8 patient that has # undergone a HSCT (MS14 is a post-HSCT blood sample) $VDJTOOLS OverlapPair -p ../samples/MS8.txt.gz ../samples/MS14.txt.gz overlap/ $VDJTOOLS PlotFancyVJUsage ../samples/MS8.txt.gz hsct/MS8 $VDJTOOLS PlotFancyVJUsage ../samples/MS14.txt.gz hsct/MS8-HSCT Below is an example of :ref:`RarefactionPlot` graphical output. .. figure:: _static/images/ms-rarefaction.png :align: center :scale: 50 % **Rarefaction analysis of MS and healthy donor repertoires.** Note that rarefaction curves for MS patients are generally lower than those for healthy donors, indicating the presence of clonal expansion in former. -------------- Repertoire annotation tutorial ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ You may be also interested in the VDJtools/VDJmatch/R tutorial on T-cell receptor motif discovery deposited `here `__.vdjtools-1.2.1+git20190311/doc/diversity.rst000644 001750 001750 00000047714 13525023773 021464 0ustar00moellermoeller000000 000000 .. _diversity: Diversity estimation -------------------- .. note:: Application of routines from this section is described in the following `tutorial `__. .. _PlotQuantileStats: PlotQuantileStats ^^^^^^^^^^^^^^^^^ Plots a three-layer donut chart to visualize the repertoire clonality. - First layer ("set") includes the frequency of singleton ("1", met once), doubleton ("2", met twice) and high-order ("3+", met three or more times) clonotypes. Singleton and doubleton frequency is an important factor in estimating the total repertoire diversity, e.g. Chao1 diversity estimator (see `Colwell et al `__). We have also recently `shown `__ that in whole blood samples, singletons have very nice correlation with the number of naive T-cells, which are the backbone of immune repertoire diversity. - The second layer ("quantile"), displays the abundance of top 20% ("Q1"), next 20% ("Q2"), ... (up to "Q5") clonotypes for clonotypes from "3+" set. In our experience this quantile plot is a simple and efficient way to display repertoire clonality. - The last layer ("top") displays the individual abundances of top N clonotypes. Command line usage ~~~~~~~~~~~~~~~~~~ .. code-block:: bash java -Xmx4G -jar vdjtools.jar PlotQuantileStats [options] sample.txt output_prefix Parameters: +-------------+-----------------------+------------+-----------------------------------------------------------------------------+ | Shorthand |      Long name      | Argument | Description | +=============+=======================+============+=============================================================================+ | ``-t`` | ``--top`` | int | Number of top clonotypes to visualize. Should not exceed 10, default is 5 | +-------------+-----------------------+------------+-----------------------------------------------------------------------------+ | ``-h`` | ``--help`` | | Display help message | +-------------+-----------------------+------------+-----------------------------------------------------------------------------+ Tabular output ~~~~~~~~~~~~~~ Following table with ``.qstat.txt`` prefix is generated, +----------+--------------------------------------------------------+ | Column | Description | +==========+========================================================+ | Type | Detalization level: ``set``, ``quantile`` or ``top`` | +----------+--------------------------------------------------------+ | Name | Variable name: "1", "Q1", "CASSLAPGATNEKLFF", etc | +----------+--------------------------------------------------------+ | Value | Corresponding relative abundance | +----------+--------------------------------------------------------+ Graphical output ~~~~~~~~~~~~~~~~ Following plot with ``.qstat.pdf`` prefix is generated, .. figure:: _static/images/modules/diversity-qstat.png :align: center :scale: 50 % **Sample clonality plot**. See above for the description of plot structure. -------------- .. _RarefactionPlot: RarefactionPlot ^^^^^^^^^^^^^^^ Plots rarefaction curves for specified list of samples, that is, the dependencies between sample diversity and sample size. Those curves are interpolated from 0 to the current sample size and then extrapolated up to the size of the largest of samples, allowing comparison of diversity estimates. Interpolation and extrapolation are based on multinomial models, see `Colwell et al `__ for details. Command line usage ~~~~~~~~~~~~~~~~~~ .. code-block:: bash java -Xmx4G -jar vdjtools.jar RarefactionPlot \ [options] [sample1.txt sample2.txt ... if -m is not specified] output_prefix Parameters ~~~~~~~~~~ +-------------+------------------------+------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------+ | Shorthand |      Long name      | Argument | Description | +=============+========================+============+===============================================================================================================================================================+ | ``-m`` | ``--metadata`` | path | Path to metadata file. See :ref:`common_params` | +-------------+------------------------+------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------+ | ``-i`` | ``--intersect-type`` | string | Set the intersection type used to collapse clonotypes before computing diversity. Defaults to ``strict`` (don't collapse at all). See :ref:`common_params` | +-------------+------------------------+------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------+ | ``-s`` | ``--steps`` | integer | Set the total number of points in the rarefaction curve, default is ``101`` | +-------------+------------------------+------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------+ | ``-f`` | ``--factor`` | string | Specifies plotting factor. See :ref:`common_params` | +-------------+------------------------+------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------+ | ``-n`` | ``--numeric`` | | Specifies if plotting factor is numeric. See :ref:`common_params` | +-------------+------------------------+------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------+ | ``-l`` | ``--label`` | string | Specifies label used for plotting. See :ref:`common_params` | +-------------+------------------------+------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------+ | | ``--wide-plot`` | | Set wide plotting area | +-------------+------------------------+------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------+ | | ``--label-exact`` | | If set to true, will position sample labels exactly at observed samle size, will use the extrapolated sample size otherwise | +-------------+------------------------+------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------+ | ``-h`` | ``--help`` | | Display help message | +-------------+------------------------+------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------+ Tabular output ~~~~~~~~~~~~~~ The following table with ``rarefaction.[intersection type shorthand].txt`` is generated: +--------------+-------------------------------------------------------------------------+ | Column | Definition | +==============+=========================================================================+ | sample\_id | Sample unique identifier | +--------------+-------------------------------------------------------------------------+ | ... | Sample metadata columns, see :ref:`metadata` section | +--------------+-------------------------------------------------------------------------+ | x | Subsample size, reads | +--------------+-------------------------------------------------------------------------+ | mean | Mean diversity at given size | +--------------+-------------------------------------------------------------------------+ | ciL | Lower bound of 95% confidence interval | +--------------+-------------------------------------------------------------------------+ | ciU | Upper bound of 95% confidence interval | +--------------+-------------------------------------------------------------------------+ | type | Data point type: ``0=interpolation``, ``1=exact``, ``2=extrapolation`` | +--------------+-------------------------------------------------------------------------+ Graphical output ~~~~~~~~~~~~~~~~ A figure with the same suffix as output table and ``.pdf`` extension is provided. .. figure:: _static/images/modules/diversity-rarefaction.png :align: center :scale: 50 % **Rarefaction plot**. Solid and dashed lines mark interpolated and extrapolated regions of rarefaction curves respectively, points mark exact sample size and diversity. Shaded areas mark 95% confidence intervals. -------------- .. _CalcDiversityStats: CalcDiversityStats ^^^^^^^^^^^^^^^^^^ Computes a set of diversity statistics, including - Observed diversity, the total number of clonotypes in a sample - Lower bound total diversity (LBTD) estimates - `Chao estimate `__ (denoted *chao1*) - `Efron-Thisted estimate `__ - Diversity indices - `Shannon-Wiener index `__. The exponent of clonotype frequency distribution entropy is returned. - Normalized Shannon-Wiener index. Normalized (divided by ``log[number of clonotypes]``) entropy of clonotype frequency distribution. Note that plain entropy is returned, not its exponent. - `Inverse Simpson index `__ - `Extrapolated Chao diversity estimate `__, denoted *chaoE* here. - The `d50 index `__, a recently developed immune diversity estimate Diversity estimates are computed in two modes: using original data and via several re-sampling steps (usually down-sampling to the size of smallest dataset). - The estimates computed on original data could be biased by uneven sampling depth (sample size), of those only ``chaoE`` is properly normalized to be compared between samples. While not good for between-sample comparison, the LBTD estimates provided for original data are most useful for studying the fundamental properties of repertoires under study, i.e. to answer the question how large the repertoire diversity of an entire organism could be. - Estimates computed using re-sampling are useful for between-sample comparison, e.g. we have successfully used the re-sampled (normalized) observed diversity to measure the repertoire aging trends (see `this `__ paper). .. hint:: In our recent experience the observed diversity and LBTD estimates computed on re-sampled data provide best results for between-sample comparisons. Command line usage ~~~~~~~~~~~~~~~~~~ .. code-block:: bash java -Xmx4G -jar vdjtools.jar CalcDiversityStats \ [options] [sample1.txt sample2.txt ... if -m is not specified] output_prefix Parameters: +-------------+------------------------+------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | Shorthand |      Long name      | Argument | Description | +=============+========================+============+==================================================================================================================================================================================+ | ``-m`` | ``--metadata`` | path | Path to metadata file. See :ref:`common_params` | +-------------+------------------------+------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | ``-i`` | ``--intersect-type`` | string | Set the intersection type used to collapse clonotypes before computing diversity. Defaults to ``strict`` (don't collapse at all). See :ref:`common_params` | +-------------+------------------------+------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | ``-x`` | ``--downsample-to`` | integer | Set the sample size to interpolate the diversity estimates via resampling. Default = size of smallest sample. Applies to diversity estimates stored in ``.resampled.txt`` table | +-------------+------------------------+------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | ``-X`` | ``--extrapolate-to`` | integer | Set the sample size to extrapolate the diversity estimates. Default = size of largest sample. Currently, only applies to ``chaoE`` diversity estimate. | +-------------+------------------------+------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | | ``--resample-trials`` | integer | Number of resamples for corresponding estimator. Default = 3 | +-------------+------------------------+------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | ``-h`` | ``--help`` | | Display help message | +-------------+------------------------+------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ Tabular output ~~~~~~~~~~~~~~ Two tables with ``diversity.[intersection type shorthand].txt`` and ``diversity.[intersection type shorthand].resampled.txt`` are generated, containing diversity estimates computed on original and down-sampled datasets respectively. Note that ``chaoE`` estimate is only present in the table generated for original samples. Both tables contain means and standard deviations of diversity estimates. Also note that standard deviation and mean values for down-sampled datasets are computed based on N=3 re-samples. Here is an example column layout, similar between both output tables: +--------------------------------------+---------------------------------------------------------------------------------------------------------------+ | Column | Definition | +======================================+===============================================================================================================+ | sample\_id | Sample unique identifier | +--------------------------------------+---------------------------------------------------------------------------------------------------------------+ | ... | Sample metadata columns, see :ref:`metadata` section | +--------------------------------------+---------------------------------------------------------------------------------------------------------------+ | reads | Number of reads in the sample | +--------------------------------------+---------------------------------------------------------------------------------------------------------------+ | diversity | Diversity of the original sample (after collapsing to unique clonotypes according to ``-i`` parameter) | +--------------------------------------+---------------------------------------------------------------------------------------------------------------+ | extrapolate\_reads / resample\_reads | The reads used to extrapolate or re-sample in order to compute present diversity estiamtes | +--------------------------------------+---------------------------------------------------------------------------------------------------------------+ | <*name*\ >\_mean | Mean value of the diversity estimate <*name*\ > | +--------------------------------------+---------------------------------------------------------------------------------------------------------------+ | <*name*\ >\_std | Standard deviation of the diversity estimate <*name*\ > | +--------------------------------------+---------------------------------------------------------------------------------------------------------------+ | ... | | +--------------------------------------+---------------------------------------------------------------------------------------------------------------+ Graphical output ~~~~~~~~~~~~~~~~ none vdjtools-1.2.1+git20190311/doc/operate.rst000644 001750 001750 00000037663 13525023773 021103 0ustar00moellermoeller000000 000000 .. _operate: Operate on clonotype tables --------------------------- .. _JoinSamples: JoinSamples ^^^^^^^^^^^^ Joins several clonotype tables together to form a joint clonotype abundance table. Joint clonotype holds information on all clonotypes that match under a certain comparison criteria (e.g. identical CDR3nt and V segment), their samples of origin and corresponding abundances. At least two samples should be specified for this routine. For two sample case also consider using :ref:`OverlapPair` routine. .. attention:: This is the most memory-demanding routine, especially for a large number of samples. Command line usage ~~~~~~~~~~~~~~~~~~ .. code-block:: bash $VDJTOOLS JoinSamples \ [options] [sample1.txt sample2.txt sample3.txt ... if -m is not specified] output_prefix Parameters: +-------------+------------------------+-----------+-------------------------------------------------------------------------------------------------------------+ | Shorthand |      Long name      | Argument | Description | +=============+========================+===========+=============================================================================================================+ | ``-m`` | ``--metadata`` | path | Path to metadata file. See See :ref:`common_params` | +-------------+------------------------+-----------+-------------------------------------------------------------------------------------------------------------+ | ``-i`` | ``--intersect-type`` | string | Sample intersection rule. Defaults to ``aa``. See :ref:`common_params` | +-------------+------------------------+-----------+-------------------------------------------------------------------------------------------------------------+ | ``-x`` | ``--times-detected`` | integer | Minimal number of samples in which a clonotype should be detected to get to the final output. Default = 2 | +-------------+------------------------+-----------+-------------------------------------------------------------------------------------------------------------+ | ``-p`` | ``--plot`` | | Turns on plotting. See :ref:`common_params` | +-------------+------------------------+-----------+-------------------------------------------------------------------------------------------------------------+ | ``-c`` | ``--compress`` | | Compressed output for clonotype table. See :ref:`common_params` | +-------------+------------------------+-----------+-------------------------------------------------------------------------------------------------------------+ | ``-h`` | ``--help`` | | Display help message | +-------------+------------------------+-----------+-------------------------------------------------------------------------------------------------------------+ Tabular output ~~~~~~~~~~~~~~ Summary table suffixed ``join.[value of -i argument].summary.txt`` is created with the following columns. +----------------------+----------------------------------------------------------------------------------------+ | Column | Description | +======================+========================================================================================+ | | Indicator for the first sample, either ``0`` or ``1`` | +----------------------+----------------------------------------------------------------------------------------+ | | Indicator for the second sample | +----------------------+----------------------------------------------------------------------------------------+ | ... | | +----------------------+----------------------------------------------------------------------------------------+ | clonotypes | Number of clonotypes detected in all samples that have ``1`` indicator in a given row. | +----------------------+----------------------------------------------------------------------------------------+ Joint clonotype abundance table file having ``join.[value of -i argument].table.txt`` suffix that contains joint clonotypes detected in at least ``-x`` samples. Table structure is described in the section below. .. _joint_table_structure: Joint clonotype abundance table structure ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ First columns have the same meaning as in :ref:`vdjtools_format` clonotype abundance table, they are computed as follows: - Normalized frequency is computed as geometric mean of clonotype frequencies that comprise a given joint clonotype in intersected samples. If clonotype is missing, its frequency is set to ``1e-9``. .. note:: Joint clonotype is formed as a union of all clonotype variants in all samples that match under the specified ``-i`` rule. - Normalized count is calculated by scaling normalized frequencies so that the joint clonotypes with smallest frequency has a count of ``1``. - Clonotype signature (CDR3nt, CDR3aa, V, D and J) is taken from a representative clonotype. .. note:: When several clonotype variants are present in samples that correspond to the same clonotype under ``-i`` rule (e.g. several Variable segment variants when ``-i nt`` is set), only the most abundant form is selected as a **representative** clonotype to final output. +-------------------+------------------------------------------------------------------------------+ | Column | Description | +===================+==============================================================================+ | count | Normalized clonotype count | +-------------------+------------------------------------------------------------------------------+ | freq | Normalized clonotype frequency | +-------------------+------------------------------------------------------------------------------+ | cdr3nt | Representative CDR3 nucleotide sequence | +-------------------+------------------------------------------------------------------------------+ | cdr3aa | Representative CDR3 amino acid sequence | +-------------------+------------------------------------------------------------------------------+ | v | Representative Variable segment | +-------------------+------------------------------------------------------------------------------+ | d | Representative Diversity segment | +-------------------+------------------------------------------------------------------------------+ | j | Representative Joining segment | +-------------------+------------------------------------------------------------------------------+ | peak | Index of a time point at which given clonotype reaches its maximum frequency | +-------------------+------------------------------------------------------------------------------+ | occurrences | Number of samples the joint clonotype was detected in | +-------------------+------------------------------------------------------------------------------+ | <*sample name*\ > | Frequency of a joint clonotype at corresponding sample | +-------------------+------------------------------------------------------------------------------+ | ... | | +-------------------+------------------------------------------------------------------------------+ Graphical output ~~~~~~~~~~~~~~~~ A Venn diagram can be found in a file having ``join.[value of -i argument].venn.pdf`` suffix. Note that if there are more than 5 samples, it will be constructed for the first 5 samples. Plotting is performed using `VennDiagram `__ R package. .. figure:: _static/images/modules/join-venn.png :align: center :scale: 50 % **Overlap of clonotype sets**. See `Venn diagram wiki article `__ for the description. ----------- .. _PoolSamples: PoolSamples ^^^^^^^^^^^ Pools clonotypes from several samples together and merges clonotypes that that match under a certain comparison criteria (e.g. identical CDR3nt and V segment). Note that this routine can be used with a single sample to aggregate the sameple, e.g. by CDR3 amino acid sequence, in this case CDR3 nucleotide sequence, V and J segments will be taken from a representative clonotype variant with the highest frequency. Command line usage ~~~~~~~~~~~~~~~~~~ .. code-block:: bash $VDJTOOLS PoolSamples \ [options] [sample1.txt sample2.txt sample3.txt ... if -m is not specified] output_prefix Parameters: +-------------+------------------------+-----------+-------------------------------------------------------------------------------------------------------------+ | Shorthand |      Long name      | Argument | Description | +=============+========================+===========+=============================================================================================================+ | ``-m`` | ``--metadata`` | path | Path to metadata file. See :ref:`common_params` | +-------------+------------------------+-----------+-------------------------------------------------------------------------------------------------------------+ | ``-i`` | ``--intersect-type`` | string | Sample intersection rule. Defaults to ``strict``. See :ref:`common_params` | +-------------+------------------------+-----------+-------------------------------------------------------------------------------------------------------------+ | ``-p`` | ``--plot`` | | Turns on plotting. See :ref:`common_params` | +-------------+------------------------+-----------+-------------------------------------------------------------------------------------------------------------+ | ``-c`` | ``--compress`` | | Compressed output for clonotype table. See :ref:`common_params` | +-------------+------------------------+-----------+-------------------------------------------------------------------------------------------------------------+ | ``-h`` | ``--help`` | | Display help message | +-------------+------------------------+-----------+-------------------------------------------------------------------------------------------------------------+ Tabular output ~~~~~~~~~~~~~~ Summary table suffixed ``pool.[value of -i argument].summary.txt`` is created with the following columns. +----------------------+----------------------------------------------------------------------------------------+ | Column | Description | +======================+========================================================================================+ | incidence.count | Indicator for the first sample, either ``0`` or ``1`` | +----------------------+----------------------------------------------------------------------------------------+ | read.count | Total number of reads associated with a given pooled clonotype | +----------------------+----------------------------------------------------------------------------------------+ | convergence | Total number of clonotype variants that match the pooled clonotype under ``-i`` rule. | +----------------------+----------------------------------------------------------------------------------------+ Pooled clonotype abundance table file having ``pool.[value of -i argument].summary.txt``. Table structure is described in the section below. .. _pooled_table_structure: Pooled clonotype abundance table structure ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ First columns have the same meaning as in :ref:`vdjtools_format` clonotype abundance table, they are computed as follows: - Pooled count is computed as the total number of reads associated with clonotype variants that match under the specified ``-i`` rule. - Frequency is computed as pooled count divided by total number of reads in all samples. - Clonotype signature (CDR3nt, CDR3aa, V, D and J) is taken from a representative clonotype in the same way as described for :ref:`joint_table_structure`. +-------------------+----------------------------------------------------------------------------------------+ | Column | Description | +===================+========================================================================================+ | count | Pooled clonotype count | +-------------------+----------------------------------------------------------------------------------------+ | freq | Pooled clonotype frequency | +-------------------+----------------------------------------------------------------------------------------+ | cdr3nt | Representative CDR3 nucleotide sequence | +-------------------+----------------------------------------------------------------------------------------+ | cdr3aa | Representative CDR3 amino acid sequence | +-------------------+----------------------------------------------------------------------------------------+ | v | Representative Variable segment | +-------------------+----------------------------------------------------------------------------------------+ | d | Representative Diversity segment | +-------------------+----------------------------------------------------------------------------------------+ | j | Representative Joining segment | +-------------------+----------------------------------------------------------------------------------------+ | incidence | Number of samples containing clonotype variants that comprise a given pooled clonotype | +-------------------+----------------------------------------------------------------------------------------+ | convergence | Total number of clonotype variants that match the pooled clonotype under ``-i`` rule | +-------------------+----------------------------------------------------------------------------------------+ Graphical output ~~~~~~~~~~~~~~~~ planned vdjtools-1.2.1+git20190311/doc/basic.rst000644 001750 001750 00000061730 13525023773 020515 0ustar00moellermoeller000000 000000 .. _basic: Basic analysis -------------- .. _CalcBasicStats: CalcBasicStats ^^^^^^^^^^^^^^ This routine computes a set of basic sample statistics, such as read counts, number of clonotypes, etc. Command line usage ~~~~~~~~~~~~~~~~~~ .. code-block:: bash $VDJTOOLS CalcBasicStats \ [options] [sample1.txt sample2.txt ... if -m is not specified] output_prefix Parameters: +-------------+-----------------------+------------+--------------------------------------------------------------------+ | Shorthand |      Long name      | Argument | Description | +=============+=======================+============+====================================================================+ | ``-m`` | ``--metadata`` | path | Path to metadata file. See :ref:`common_params` | +-------------+-----------------------+------------+--------------------------------------------------------------------+ | ``-u`` | ``--unweighted`` | | If not set, all statistics will be weighted by clonotype frequency | +-------------+-----------------------+------------+--------------------------------------------------------------------+ | ``-h`` | ``--help`` | | Display help message | +-------------+-----------------------+------------+--------------------------------------------------------------------+ Tabular output ~~~~~~~~~~~~~~ The following table with ``.basicstats.txt`` suffix is generated, +------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | Column | Description | +========================+====================================================================================================================================================================+ | sample\_id | Sample unique identifier | +------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | ... | Metadata columns. See :ref:`metadata` section | +------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | count | Number of reads in a given sample | +------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | diversity | Number of clonotypes in a given sample | +------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | mean\_frequency | Mean clonotype frequency | +------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | geomean\_frequency | Geometric mean of clonotype frequency | +------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | nc\_diversity | Number of non-coding clonotypes | +------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | nc\_frequency | Frequency of reads that belong to non-coding clonotypes | +------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | mean\_cdr3nt\_length | Mean length of CDR3 nucleotide sequence. Weighted by clonotype frequency | +------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | mean\_insert\_size | Mean number of inserted random nucleotides in CDR3 sequence. Characterizes V-J insert for receptor chains without D segment, or a sum of V-D and D-J insert sizes | +------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | mean\_ndn\_size | Mean number of nucleotides that lie between V and J segment sequences in CDR3 | +------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | convergence | Mean number of unique CDR3 nucleotide sequences that code for the same CDR3 amino acid sequence | +------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------+ Graphical output ~~~~~~~~~~~~~~~~ none -------------- .. _CalcSegmentUsage: CalcSegmentUsage ^^^^^^^^^^^^^^^^ This routine computes Variable (V) and Joining (J) segment usage vectors, i.e. the frequency of associated reads for each of V/J segments present in sample(s). If plotting is on, will also perform clustering for V/J usage vectors and samples *à la* gene expression analysis. Command line usage ~~~~~~~~~~~~~~~~~~ .. code-block:: bash $VDJTOOLS CalcSegmentUsage \ [options] [sample1.txt sample2.txt ... if -m is not specified] output_prefix Parameters: +-------------+-----------------------+------------+-------------------------------------------------------------------------------------------------------------+ | Shorthand |      Long name      | Argument | Description | +=============+=======================+============+=============================================================================================================+ | ``-m`` | ``--metadata`` | path | Path to metadata file. See :ref:`common_params` | +-------------+-----------------------+------------+-------------------------------------------------------------------------------------------------------------+ | ``-u`` | ``--unweighted`` | | Will compute the number of unique clonotypes with a given V/J segment. Counts the number of reads otherwise | +-------------+-----------------------+------------+-------------------------------------------------------------------------------------------------------------+ | ``-p`` | ``--plot`` | | Turns on plotting. See :ref:`common_params` | +-------------+-----------------------+------------+-------------------------------------------------------------------------------------------------------------+ | ``-f`` | ``--factor`` | string | Specifies plotting factor. See :ref:`common_params` | +-------------+-----------------------+------------+-------------------------------------------------------------------------------------------------------------+ | ``-n`` | ``--numeric`` | | Specifies if plotting factor is numeric. See :ref:`common_params` | +-------------+-----------------------+------------+-------------------------------------------------------------------------------------------------------------+ | ``-l`` | ``--label`` | string | Specifies label used for plotting. See :ref:`common_params` | +-------------+-----------------------+------------+-------------------------------------------------------------------------------------------------------------+ | ``-h`` | ``--help`` | | Display help message | +-------------+-----------------------+------------+-------------------------------------------------------------------------------------------------------------+ Tabular output ~~~~~~~~~~~~~~ The following tables with ``.segments.[unwt or wt depending on -u parameter].[V or J].txt`` suffix are generated, +-----------------------------------+------------------------------------------------+ | Column | Description | +===================================+================================================+ | sample\_id | Sample unique identifier | +-----------------------------------+------------------------------------------------+ | ... | Metadata columns. See :ref:`metadata` section | +-----------------------------------+------------------------------------------------+ | Segment name, e.g. TRBJ1-1 | Segment frequency in a given sample | +-----------------------------------+------------------------------------------------+ | Next segment name, e.g. TRBJ1-2 | ... | +-----------------------------------+------------------------------------------------+ | ... | ... | +-----------------------------------+------------------------------------------------+ Graphical output ~~~~~~~~~~~~~~~~ Images, having the same name as tables, with the exception of ``.pdf`` extension, are created if plotting is on. They display segment usage heatmap and hierarchical clustering for samples and segment. This figure will be created using `heatmap.2` function from `gplots `__ R package with default clustering parameters. .. figure:: _static/images/modules/basic-segmentusage.png :align: center :scale: 50 % **Sample clustering based on Variable segment usage**. Weighted Variable usage profiles are used, hierarchical clustering is performed using euclidean distance. A continuous factor is displayed (``-n -f age`` argument). -------------- .. _CalcSpectratype: CalcSpectratype ^^^^^^^^^^^^^^^ Calculates `spectratype `__, that is, histogram of read counts by CDR3 nucleotide length. The spectratype is useful to detect pathological and highly clonal repertoires, as the spectratype of non-expanded T- and B-cells has a symmetric gaussian-like distribution. Command line usage ~~~~~~~~~~~~~~~~~~ .. code-block:: bash $VDJTOOLS CalcSpectratype \ [options] [sample1.txt sample2.txt ... if -m is not specified] output_prefix Parameters: +-------------+-----------------------+------------+-------------------------------------------------------------------------------------------------------------------------+ | Shorthand |      Long name      | Argument | Description | +=============+=======================+============+=========================================================================================================================+ | ``-m`` | ``--metadata`` | path | Path to metadata file. See :ref:`common_params` | +-------------+-----------------------+------------+-------------------------------------------------------------------------------------------------------------------------+ | ``-u`` | ``--unweighted`` | | Instead of computing read frequency, will compute the number of unique clonotypes with specific a CDR3 length | +-------------+-----------------------+------------+-------------------------------------------------------------------------------------------------------------------------+ | ``-a`` | ``--amino-acid`` | | Will use CDR3 amino acid sequences for calculation instead of nucleotide ones | +-------------+-----------------------+------------+-------------------------------------------------------------------------------------------------------------------------+ | ``-h`` | ``--help`` | | Display help message | +-------------+-----------------------+------------+-------------------------------------------------------------------------------------------------------------------------+ Tabular output ~~~~~~~~~~~~~~ The following table with ``.spectratype.[aa or nt depending on -a parameter].[unwt or wt depending on -u parameter].txt`` suffix is generated, +------------------------+------------------------------------------------------------------+ | Column | Description | +========================+==================================================================+ | sample\_id | Sample unique identifier | +------------------------+------------------------------------------------------------------+ | ... | Metadata columns. See :ref:`metadata` section | +------------------------+------------------------------------------------------------------+ | CDR3 length, e.g. 22 | Frequency of reads with a given CDR3 length in a given sample | +------------------------+------------------------------------------------------------------+ | Next CDR3 length, 23 | ... | +------------------------+------------------------------------------------------------------+ | ... | ... | +------------------------+------------------------------------------------------------------+ Graphical output ~~~~~~~~~~~~~~~~ none -------------- .. _PlotFancySpectratype: PlotFancySpectratype ^^^^^^^^^^^^^^^^^^^^ Plots a spectratype that also displays CDR3 lengths for top N clonotypes in a given sample. This plot allows to detect the highly-expanded clonotypes. Command line usage ~~~~~~~~~~~~~~~~~~ .. code-block:: bash $VDJTOOLS PlotFancySpectratype [options] sample.txt output_prefix Parameters: +-------------+-----------------------+------------+----------------------------------------------------------------------------+ | Shorthand |      Long name      | Argument | Description | +=============+=======================+============+============================================================================+ | ``-t`` | ``--top`` | int | Number of top clonotypes to visualize. Should not exceed 20, default is 10 | +-------------+-----------------------+------------+----------------------------------------------------------------------------+ | ``-h`` | ``--help`` | | Display help message | +-------------+-----------------------+------------+----------------------------------------------------------------------------+ Tabular output ~~~~~~~~~~~~~~ Following table with ``.fancyspectra.txt`` prefix is generated, +-------------------------------------+----------------------------------------------------------------------+ | Column | Description | +=====================================+======================================================================+ | Len | Length of CDR3 nucleotide sequence | +-------------------------------------+----------------------------------------------------------------------+ | Other | Frequency of clonotypes with a given CDR3 length, other than top N | +-------------------------------------+----------------------------------------------------------------------+ | Clonotype#N, e.g. CASRLLRAGSTEAFF | Clonotype frequency, at the corresponding CDR3 length | +-------------------------------------+----------------------------------------------------------------------+ | Clonotype#N-1 | ... | +-------------------------------------+----------------------------------------------------------------------+ | ... | ... | +-------------------------------------+----------------------------------------------------------------------+ Graphical output ~~~~~~~~~~~~~~~~ The following image file with ``.fancyspectra.pdf`` suffix, .. figure:: _static/images/modules/basic-fancyspectra.png :align: center :scale: 50 % **Spectratype with additional detalization.** Most abundant clonotypes are explicitly shown. -------------- .. _PlotFancyVJUsage: PlotFancyVJUsage ^^^^^^^^^^^^^^^^ Plots a `circos `__-style V-J usage plot displaying the frequency of various V-J junctions. Command line usage ~~~~~~~~~~~~~~~~~~ .. code-block:: bash $VDJTOOLS PlotFancyVJUsage [options] sample.txt output_prefix Parameters: +-------------+-----------------------+------------+-----------------------------------------------------------------------------------------------------------------+ | Shorthand |      Long name      | Argument | Description | +=============+=======================+============+=================================================================================================================+ | ``-u`` | ``--unweighted`` | | Instead of computing read frequency, will compute the number of unique clonotypes with specific V-J junctions | +-------------+-----------------------+------------+-----------------------------------------------------------------------------------------------------------------+ | ``-h`` | ``--help`` | | Display help message | +-------------+-----------------------+------------+-----------------------------------------------------------------------------------------------------------------+ Tabular output ~~~~~~~~~~~~~~ A matrix with rows corresponding to different J segments and columns corresponding to different V segments. Each cells contains the frequency of a give V-J junction. The file has ``.fancyvj.[unwt or wt depending on -u parameter].txt`` suffix. Graphical output ~~~~~~~~~~~~~~~~ An image having the same name as the output table, with the exception of ``.pdf`` extension, is generated. The plot is built using `circlize `__ R package. .. figure:: _static/images/modules/basic-fancyvj.png :align: center :scale: 50 % **V-J junction circos plot for a single sample.** Arcs correspond to different V and J segments, scaled to their frequency in sample. Ribbons represent V-J pairings and their size is scaled to the pairing frequency (weighted in present case). -------------- .. _PlotSpectratypeV: PlotSpectratypeV ^^^^^^^^^^^^^^^^ Plots a detailed spectratype containing additional info displays CDR3 length distribution for clonotypes from top N Variable segment families. This plot is useful to detect type 1 and type 2 repertoire `biases `__, that could arise under pathological conditions. Command line usage ~~~~~~~~~~~~~~~~~~ .. code-block:: bash $VDJTOOLS PlotSpectratypeV [options] sample.txt output_prefix Parameters ~~~~~~~~~~ +-------------+-----------------------+------------+-------------------------------------------------------------------------------------------+ | Shorthand |      Long name      | Argument | Description | +=============+=======================+============+===========================================================================================+ | ``-t`` | ``--top`` | int | Number of top (by frequency) V segments to visualize. Should not exceed 12 default is 12 | +-------------+-----------------------+------------+-------------------------------------------------------------------------------------------+ | ``-u`` | ``--unweighted`` | | Instead of counting read frequency, will count the number of unique clonotypes | +-------------+-----------------------+------------+-------------------------------------------------------------------------------------------+ | ``-h`` | ``--help`` | | Display help message | +-------------+-----------------------+------------+-------------------------------------------------------------------------------------------+ **Tabular output** Following table with ``.spectraV.[unwt or wt depending on -u parameter].txt`` prefix is generated, +----------------------------+--------------------------------------------------------------------------------------------+ | Column | Description | +============================+============================================================================================+ | Len | Length of CDR3 nucleotide sequence | +----------------------------+--------------------------------------------------------------------------------------------+ | Other | Frequency of clonotypes with a given CDR3 length, having V segments other than the top N | +----------------------------+--------------------------------------------------------------------------------------------+ | Segment#N, e.g. TRBV10-1 | Frequency of clonotypes with a given V segment at the corresponding CDR3 length | +----------------------------+--------------------------------------------------------------------------------------------+ | Segment#N-1 | ... | +----------------------------+--------------------------------------------------------------------------------------------+ | ... | ... | +----------------------------+--------------------------------------------------------------------------------------------+ **Graphical output** The following image file with ``.spectraV.[unwt or wt depending on -u parameter].pdf`` suffix, .. figure:: _static/images/modules/basic-spectrav.png :align: center :scale: 50 % **Stacked spectratypes by Variable segment for a single sample.** Most frequent Variable segments are highlighted. vdjtools-1.2.1+git20190311/doc/install.rst000644 001750 001750 00000011170 13525023773 021073 0ustar00moellermoeller000000 000000 .. _install: Installing VDJtools ------------------- Installing binaries ^^^^^^^^^^^^^^^^^^^ First make sure that you have installed Java Runtime Environment (JRE) v1.8 by running ``java -version``. Any recent Linux distribution will provide it via its package manager. If not, or if your system is running MacOSX or Windows, download the JRE from `Oracle `__. Then download and unpack the VDJtools binaries from the `latest release `__. The program is then run by executing the following line: .. code:: bash java -jar path-to-vdjtools-X.X.X.jar where ``X.X.X`` stands for the VDJtools version (omitted further for simplicity). This will bring up the list of available routines. To see the details (parameters, etc) for a specific routine execute .. code:: bash java -jar vdjtools.jar RoutineName -h Windows ~~~~~~~ Dedicated VDJtools bundle can be downloaded from the `release `__ section and is marked with ``.win.zip`` suffix. Linux ~~~~~ A VDJtools bundle can be downloaded from the `release `__ section which includes the required vdjtools.jar file. All plotting is handled by R and will require several R packages some of which will be available via your distribution package manager. See :ref:`install-plotting` below. MacOS ~~~~~ Installation can be performed using `Homebrew `__ package manager: .. code:: bash brew tap homebrew/science brew tap mikessh/repseq brew install vdjtools Note that this sets ``vdjtools`` as a shortcut for ``java -jar vdjtools-X.X.X.jar``. JVM arguments such as ``-Xmx`` can be still passed to the script, e.g. ``vdjtools -Xmx20G CalcBasicStats ...``. .. _install-plotting: Setting up plotting routines ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ All plotting in VDJtools framework is performed via running R scripts. Therefore one needs to install `R `__ programming language and several of its packages. Make sure that .. code:: bash Rscript --version runs successfully. Note that all R scripts were tested under R version 3.1.0. The pre-compiled ```*.win.zip`` includes all the required R packages and the homebrew installation will install them automatically. In all other cases the required packages need to be manually installed. These are the required packages: ============ =================== CRAN package Debian package ============ =================== ape r-cran-ape circlize FField ggplot2 r-cran-ggplot2 gplots r-cran-gplots grid r-cran-gridbase gridExtra r-cran-gridextra MASS r-cran-mass plotrix r-cran-plotrix RColorBrewer r-cran-rcolorbrewer reshape r-cran-reshape reshape2 r-cran-reshape2 scales r-cran-scales VennDiagram ============ =================== If your Linux distribution includes pre-packaged versions of a package, those should be prefered. The following will install the existing for Debian and Debian based distributions such as Ubuntu and Mint: .. code:: bash apt-get install r-cran-ape r-cran-ggplot2 r-cran-gplots r-cran-mass \ r-cran-plotrix r-cran-rcolorbrewer r-cran-reshape r-cran-reshape2 \ r-cran-scales r-cran-gridbase r-cran-gridextra while the other packages will have to be installed via R itself: .. code:: r install.packages(c("circlize", "FField", "VennDiagram")) Alternatively, VDJtools has a ref:`Rinstall` routine: .. code:: bash java -jar vdjtools.jar Rinstall This would also print the list of required R modules, so in case ``Rinstall`` fails, they could be installed manually by running the following command in R: .. code:: r install.packages(c("reshape2", "FField", "reshape", "gplots", "gridExtra", "circlize", "ggplot2", "grid", "VennDiagram", "ape", "MASS", "plotrix", "RColorBrewer", "scales")) Note that most issues with package installation can be resolved by switching to correct CRAN mirror. Dedicated windows binaries already have all R packages bundled, and the options summarized above should be considered only when troubleshooting R script execution issues. Compiling from source ^^^^^^^^^^^^^^^^^^^^^ VDJtools could be compiled from source code using `Apache Maven `__. Compilation should be performed under JRE v1.8 by running the following commands: .. code:: bash git clone https://github.com/mikessh/vdjtools.git cd vdjtools/ mvn clean install Binaries could then be found under the ``vdjtools/target/`` folder. vdjtools-1.2.1+git20190311/src/000755 001750 001750 00000000000 13525023773 016715 5ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/src/main/000755 001750 001750 00000000000 13525023773 017641 5ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/src/main/java/000755 001750 001750 00000000000 13525023773 020562 5ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/src/main/java/com/000755 001750 001750 00000000000 13525023773 021340 5ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/000755 001750 001750 00000000000 13525023773 024020 5ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/000755 001750 001750 00000000000 13525023773 025664 5ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/ClonotypeWrapperContainer.java000644 001750 001750 00000004074 13525023773 033714 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools; /** * @param type of clonotype wrapper. */ public interface ClonotypeWrapperContainer extends Iterable, Countable { /** * Gets the clonotype wrapper by index. Index should be in [0, {@code getDiversity()}). * * @param index clonotype index. * @return a clonotype. */ WrapperType getAt(int index); /** * Tells if clonotype wrappers are sorted by their abundance. * * @return true if clonotype container is sorted, false otherwise. */ boolean isSorted(); } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/pool/000755 001750 001750 00000000000 13525023773 026635 5ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/pool/SampleAggregator.java000644 001750 001750 00000011471 13525023773 032730 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.pool; import com.antigenomics.vdjtools.join.ClonotypeKeyGen; import com.antigenomics.vdjtools.join.key.ClonotypeKey; import com.antigenomics.vdjtools.overlap.OverlapType; import com.antigenomics.vdjtools.sample.Clonotype; import com.antigenomics.vdjtools.sample.Sample; import java.util.Date; import java.util.HashMap; import java.util.Iterator; import java.util.Map; /** * A sample aggregator used in constructing {@link com.antigenomics.vdjtools.pool.PooledSample}. * * @param clonotype aggregator type. */ public class SampleAggregator implements Iterable { private final Map innerMap = new HashMap<>(); private final ClonotypeKeyGen clonotypeKeyGen; private final long count; /** * Aggregates clonotypes from the specified set of samples. In case clonotypes are matching * exactly (see {@link com.antigenomics.vdjtools.overlap.OverlapType#Strict}) in several samples * they are pooled in a single "pooled clonotype". * * @param samples a set of samples. * @param clonotypeAggregatorFactory clonotype aggregation rule. */ public SampleAggregator(Iterable samples, ClonotypeAggregatorFactory clonotypeAggregatorFactory) { this(samples, clonotypeAggregatorFactory, OverlapType.Strict); } /** * Aggregates clonotypes from the specified set of samples. Both clonotypes matching between samples * and convergent variants of each clonotype are pooled according to specified clonotype matching rule. * * @param samples a set of samples. * @param clonotypeAggregatorFactory clonotype aggregation rule. * @param overlapType clonotype matching rule. */ public SampleAggregator(Iterable samples, ClonotypeAggregatorFactory clonotypeAggregatorFactory, OverlapType overlapType) { this.clonotypeKeyGen = new ClonotypeKeyGen(overlapType); int sampleId = 0; long count = 0; for (Sample sample : samples) { System.out.println("[" + (new Date().toString()) + " " + "SamplePool] " + "Pooling sample " + sample.getSampleMetadata().getSampleId()); for (Clonotype clonotype : sample) { ClonotypeKey clonotypeKey = clonotypeKeyGen.generateKey(clonotype); ClonotypeAggregator clonotypeAggregator = getAt(clonotypeKey); if (clonotypeAggregator == null) { innerMap.put(clonotypeKey, clonotypeAggregatorFactory.create(clonotype, sampleId)); } else { clonotypeAggregator.combine(clonotype, sampleId); } } count += sample.getCount(); sampleId++; } // todo: sort this.count = count; } private T getAt(ClonotypeKey clonotypeKey) { return innerMap.get(clonotypeKey); } public T getAt(Clonotype clonotype) { return getAt(clonotypeKeyGen.generateKey(clonotype)); } public int getDiversity() { return innerMap.size(); } public long getCount() { return count; } @Override public Iterator iterator() { return innerMap.values().iterator(); } }vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/pool/MaxClonotypeAggregator.java000644 001750 001750 00000004353 13525023773 034132 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.pool; import com.antigenomics.vdjtools.sample.Clonotype; /** * A clonotype aggregator that uses the most abundant clonotype as representative clonotype. */ public class MaxClonotypeAggregator extends ClonotypeAggregator { private double maxFreq; /** * {@inheritDoc} */ public MaxClonotypeAggregator(Clonotype clonotype, int sampleId) { super(clonotype, sampleId); this.maxFreq = clonotype.getFreq(); } @Override protected boolean tryReplace(Clonotype other, int sampleId) { double freq = other.getFreq(); if (maxFreq < freq) { this.maxFreq = freq; return true; } return false; } public double getMaxFreq() { return maxFreq; } } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/pool/PooledSample.java000644 001750 001750 00000007111 13525023773 032064 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.pool; import com.antigenomics.vdjtools.ClonotypeWrapperContainer; import com.antigenomics.vdjtools.overlap.OverlapType; import com.antigenomics.vdjtools.sample.SampleCollection; import java.util.*; public class PooledSample implements ClonotypeWrapperContainer { private final List clonotypes; private final long count; @SuppressWarnings("unchecked") public PooledSample(SampleCollection samples) { this(new SampleAggregator(samples, new StoringClonotypeAggregatorFactory(), OverlapType.Strict)); } public PooledSample(SampleAggregator sampleAggregator) { this.clonotypes = new ArrayList<>(sampleAggregator.getDiversity()); long count = 0; for (StoringClonotypeAggregator clonotypeAggregator : sampleAggregator) { clonotypeAggregator.setParent(this); int x = (int) clonotypeAggregator.getCount(); count += x; clonotypes.add(clonotypeAggregator); } this.count = count; Collections.sort(clonotypes, (o1, o2) -> { return Long.compare(o2.getCount(), o1.getCount()); // inverse - sort descending }); } /** * {@inheritDoc} */ @Override public double getFreq() { return 1.0; } /** * {@inheritDoc} */ @Override public double getFreqAsInInput() { return 1.0; } /** * {@inheritDoc} */ @Override public long getCount() { return count; } /** * {@inheritDoc} */ @Override public int getDiversity() { return clonotypes.size(); } /** * {@inheritDoc} */ @Override public StoringClonotypeAggregator getAt(int index) { return clonotypes.get(index); } /** * {@inheritDoc} */ @Override public boolean isSorted() { return true; } @Override public Iterator iterator() { return clonotypes.iterator(); } } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/pool/ClonotypeAggregator.java000644 001750 001750 00000007661 13525023773 033471 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.pool; import com.antigenomics.vdjtools.misc.MathUtil; import com.antigenomics.vdjtools.sample.Clonotype; /** * A base class for all clonotype aggregators used for summarizing clonotype counts and occurrences. * Representative clonotype for the clonotype aggregatior is implementation-dependent. */ public abstract class ClonotypeAggregator { private int sampleId; private int incidenceCount, count; private double freq, freqRem = 0; /** * Creates a new conotype aggregator. * * @param clonotype base clonotype instance. * @param sampleId index of clonotype's parent sample. */ public ClonotypeAggregator(Clonotype clonotype, int sampleId) { this.incidenceCount = 1; this.freqRem = clonotype.getFreq(); this.count = (int) clonotype.getCount(); this.sampleId = sampleId; } final void combine(Clonotype other, int sampleId) { if (this.sampleId != sampleId) { this.sampleId = sampleId; incidenceCount++; freq += freqRem > 0 ? Math.log10(freqRem) : 0; // add remainder freqRem = other.getFreq(); // start accumulating freq } else { freqRem += other.getFreq(); // continue accumulating freq } count += other.getCount(); tryReplace(other, sampleId); } protected abstract boolean tryReplace(Clonotype other, int sampleId); /** * Gets the number of samples this clonotype was detected in. * * @return number of samples. */ public int getIncidenceCount() { return incidenceCount; } /** * Gets the total count of this clonotype in all samples so far. * * @return clonotype count. */ public long getCount() { return count; } /** * INTERNAL used for computing pooled clonotype frequencies. */ public double getFreqLogSum() { return freq + (freqRem > 0 ? Math.log10(freqRem) : 0); } /** * INTERNAL used for computing pooled clonotype frequencies. */ public double getFreqGeomMean() { return Math.pow(10.0, getFreqLogSum() / incidenceCount); } /** * INTERNAL used for computing pooled clonotype frequencies. */ public double getFreqGeomMean(int numberOfSamples) { return Math.pow(10.0, (getFreqLogSum() + (numberOfSamples - incidenceCount) * MathUtil.JITTER_LOG10) / numberOfSamples); } } src/main/java/com/antigenomics/vdjtools/pool/StoringClonotypeAggregatorFactory.java000644 001750 001750 00000003650 13525023773 036302 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.pool; import com.antigenomics.vdjtools.sample.Clonotype; /** * A factory for {@link com.antigenomics.vdjtools.pool.StoringClonotypeAggregator}. */ public class StoringClonotypeAggregatorFactory implements ClonotypeAggregatorFactory { @Override public StoringClonotypeAggregator create(Clonotype clonotype, int sampleId) { return new StoringClonotypeAggregator(clonotype, sampleId); } } src/main/java/com/antigenomics/vdjtools/pool/ClonotypeAggregatorFactory.java000644 001750 001750 00000003405 13525023773 034732 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.pool; import com.antigenomics.vdjtools.sample.Clonotype; /** * A factory of clonotype aggregators. * @param clonotype aggregator type. */ public interface ClonotypeAggregatorFactory { T create(Clonotype clonotype, int sampelId); } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/pool/RatioFilter.java000644 001750 001750 00000005530 13525023773 031727 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.pool; import com.antigenomics.vdjtools.sample.Clonotype; import com.antigenomics.vdjtools.sample.ClonotypeFilter; import com.antigenomics.vdjtools.sample.Sample; /** * A clonotype filter that filters out all clonotypes that do not pass a certain ratio threshold * when compared to the matching most abundant clonotype in another sample. * Used in {@link com.antigenomics.vdjtools.preprocess.Decontaminate}. */ public class RatioFilter extends ClonotypeFilter { private final SampleAggregator sampleAggregator; private final double thresholdRatio; public RatioFilter(Iterable samples, double thresholdRatio, boolean negative) { super(negative); this.sampleAggregator = new SampleAggregator<>(samples, new MaxClonotypeAggregatorFactory()); this.thresholdRatio = thresholdRatio; } public RatioFilter(Iterable samples, double thresholdRatio) { this(samples, thresholdRatio, false); } public RatioFilter(Iterable samples) { this(samples, 20.0); } /** * {@inheritDoc} */ @Override protected boolean checkPass(Clonotype clonotype) { MaxClonotypeAggregator aggregator = sampleAggregator.getAt(clonotype); return aggregator == null || aggregator.getMaxFreq() < clonotype.getFreq() * thresholdRatio; } } src/main/java/com/antigenomics/vdjtools/pool/StoringClonotypeAggregator.java000644 001750 001750 00000010347 13525023773 034753 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.pool; import com.antigenomics.vdjtools.ClonotypeWrapper; import com.antigenomics.vdjtools.join.ClonotypeKeyGen; import com.antigenomics.vdjtools.join.key.ClonotypeKey; import com.antigenomics.vdjtools.sample.Clonotype; import java.util.HashSet; import java.util.Set; /** * A clonotype aggregator that stores the representative clonotype and acts as a clonotype wrapper, * a.k.a. pooled clonotype. */ public class StoringClonotypeAggregator extends MaxClonotypeAggregator implements ClonotypeWrapper { private Clonotype clonotype; private int convergence, occurrences; private PooledSample parent; private final Set variants = new HashSet<>(); private final ClonotypeKeyGen clonotypeKeyGen = new ClonotypeKeyGen(); protected StoringClonotypeAggregator(Clonotype clonotype, int sampleId) { super(clonotype, sampleId); this.clonotype = clonotype; this.convergence = 1; this.occurrences = 1; this.variants.add(clonotypeKeyGen.generateKey(clonotype)); } @Override protected boolean tryReplace(Clonotype clonotype, int sampleId) { ClonotypeKey clonotypeKey = clonotypeKeyGen.generateKey(clonotype); if (!variants.contains(clonotypeKey)) { convergence++; variants.add(clonotypeKey); } occurrences++; if (super.tryReplace(clonotype, sampleId)) { this.clonotype = clonotype; return true; } return false; } /** * {@inheritDoc} */ @Override public Clonotype getClonotype() { return clonotype; } /** * {@inheritDoc} */ @Override public PooledSample getParent() { return parent; } public void setParent(PooledSample parent) { this.parent = parent; } /** * Gets the total number of convergent variants for this pooled clonotype, i.e. * the total number of unique nucleotide variants in all samples. * * @return number of convergent variants. */ @Override public int getDiversity() { return convergence; } /** * Gets the total number of clonotype occurrences - counting the total number of * nucleotide variants in all samples. Differs from diversity/convergence as the * same nucleotide variant found in two samples will be counted twice. * * @return number of occurrences */ public int getOccurrences() { return occurrences; } /** * {@inheritDoc} */ @Override public double getFreq() { return parent != null ? (getCount() / (double) parent.getCount()) : Double.NaN; } /** * {@inheritDoc} */ @Override public double getFreqAsInInput() { return 1.0; } } src/main/java/com/antigenomics/vdjtools/pool/MaxClonotypeAggregatorFactory.java000644 001750 001750 00000003624 13525023773 035403 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.pool; import com.antigenomics.vdjtools.sample.Clonotype; /** * A factory for {@link com.antigenomics.vdjtools.pool.MaxClonotypeAggregator}. */ public class MaxClonotypeAggregatorFactory implements ClonotypeAggregatorFactory { @Override public MaxClonotypeAggregator create(Clonotype clonotype, int sampleId) { return new MaxClonotypeAggregator(clonotype, sampleId); } } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/preprocess/000755 001750 001750 00000000000 13525023773 030051 5ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/preprocess/Corrector.java000644 001750 001750 00000017413 13525023773 032664 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.preprocess; import com.antigenomics.vdjtools.misc.Segment; import com.antigenomics.vdjtools.sample.Clonotype; import com.antigenomics.vdjtools.sample.Sample; import com.milaboratory.core.sequence.NucleotideSequence; import com.milaboratory.core.tree.NeighborhoodIterator; import com.milaboratory.core.tree.SequenceTreeMap; import com.milaboratory.core.tree.TreeSearchParameters; import java.util.HashMap; import java.util.Map; import java.util.stream.Collectors; /** * A class implementing simple frequency-based error correction. */ public class Corrector { private final TreeSearchParameters treeSearchParameters; private final double logRatioThreshold; private final boolean requireSegmentMatch; /** * Creates a sample corrector. Clonotypes that are no more than 2 mismatches difference from each other, * have a more than 20 times ratio threshold will be subject to correction. */ public Corrector() { this(2, 0.05f, false); } /** * Creates a sample corrector. Clonotypes that are in a certain edit distance from each other, * have a certain ratio threshold and matching segments (if specified) will be subject to correction. * * @param maxMismatches maximum number of mismatches allowed. * @param ratioThreshold clonotype abundance ratio. * @param requireSegmentMatch requires matching of V/J segment. */ public Corrector(int maxMismatches, float ratioThreshold, boolean requireSegmentMatch) { this.treeSearchParameters = new TreeSearchParameters(maxMismatches, 0, 0); this.logRatioThreshold = -Math.log10(ratioThreshold); this.requireSegmentMatch = requireSegmentMatch; } /** * Corrects specified sample for clonotypes that result from PCR/sequencing errors. * * @param sample a sample. * @return corrected sample, a deep copy. */ public Sample correct(Sample sample) { final SequenceTreeMapProvider sequenceTreeMapProvider = requireSegmentMatch ? new SegmentSequenceTreeMapProvider(sample) : new SimpleSequenceTreeMapProvider(sample); Map samplerMap = sample.getClonotypes().parallelStream().collect( Collectors.toMap( it -> it, it -> computeCorrectedCount(it, sequenceTreeMapProvider.get(it)), (count1, count2) -> count1 + count2 ) ); return new Sample(sample, samplerMap); } private int computeCorrectedCount(Clonotype it, SequenceTreeMap sequenceTreeMap) { NeighborhoodIterator neighborhoodIterator = sequenceTreeMap.getNeighborhoodIterator(it.getCdr3ntBinary(), treeSearchParameters); int totalCount = (int) it.getCount(); for (Clonotype other : neighborhoodIterator.it()) { if (!other.equals(it)) { int mismatches = neighborhoodIterator.getMismatches(); double logRatio = Math.log10(it.getCount() / (double) other.getCount()); if (logRatio > mismatches * logRatioThreshold) { totalCount += other.getCount(); } else if (logRatio < -mismatches * logRatioThreshold) { return 0; } } } return totalCount; } public TreeSearchParameters getTreeSearchParameters() { return treeSearchParameters; } public double getRatioThreshold() { return Math.pow(10, -logRatioThreshold); } private static interface SequenceTreeMapProvider { public SequenceTreeMap get(Clonotype clonotype); } private static class SegmentSequenceTreeMapProvider implements SequenceTreeMapProvider { private final Map> sequenceTreeMapBySegment = new HashMap<>(); public SegmentSequenceTreeMapProvider(Sample sample) { for (int i = sample.getDiversity() - 1; i >= 0; i--) { Clonotype clonotype = sample.getAt(i); VJBin vjBin = new VJBin(clonotype); SequenceTreeMap sequenceTreeMap = sequenceTreeMapBySegment.get(vjBin); if (sequenceTreeMap == null) { sequenceTreeMapBySegment.put(vjBin, sequenceTreeMap = new SequenceTreeMap<>(NucleotideSequence.ALPHABET)); } sequenceTreeMap.put(clonotype.getCdr3ntBinary(), clonotype); } } public SequenceTreeMap get(Clonotype clonotype) { return sequenceTreeMapBySegment.get(new VJBin(clonotype)); } private static class VJBin { private final Segment v, j; public VJBin(Clonotype clonotype) { this(clonotype.getVBinary(), clonotype.getJBinary()); } public VJBin(Segment v, Segment j) { this.v = v; this.j = j; } @Override public boolean equals(Object o) { if (this == o) return true; if (o == null || getClass() != o.getClass()) return false; VJBin vjBin = (VJBin) o; return j.equals(vjBin.j) && v.equals(vjBin.v); } @Override public int hashCode() { return 31 * v.hashCode() + j.hashCode(); } } } private static class SimpleSequenceTreeMapProvider implements SequenceTreeMapProvider { private final SequenceTreeMap sequenceTreeMap = new SequenceTreeMap<>(NucleotideSequence.ALPHABET); public SimpleSequenceTreeMapProvider(Sample sample) { for (int i = sample.getDiversity() - 1; i >= 0; i--) { Clonotype clonotype = sample.getAt(i); sequenceTreeMap.put(clonotype.getCdr3ntBinary(), clonotype); } } public SequenceTreeMap get(Clonotype clonotype) { return sequenceTreeMap; } } } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/Countable.java000644 001750 001750 00000005245 13525023773 030451 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools; /** * Something that has abundance data associated with it. */ public interface Countable { /** * Gets the number of variants associated with a given object. * It can be either number of convergent sub-variants associated * with a given clonotype or number of clonotypes in sample, or * the number of composite clonotypes that group several * clonotype sub-variants for joint/pooled samples. * * @return number of variants. */ public int getDiversity(); /** * Gets the number of reads associated with a given object. * * @return number of reads. */ public long getCount(); /** * Gets the share of reads associated with a given object. * Should return 1 for clonotype containers. * * @return share of reads. */ public double getFreq(); /** * Gets the non-normalized frequency (share of reads) for a given object. * For the {@link com.antigenomics.vdjtools.sample.Sample} the sum of * frequencies as specified in plain-text input file before normalization is returned. * * @return non-normalized share of reads. */ public double getFreqAsInInput(); } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/ClonotypeWrapper.java000644 001750 001750 00000004150 13525023773 032044 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools; import com.antigenomics.vdjtools.sample.Clonotype; /** * An interface for clonotype wrapper, containing clonotype description and abundance data, * as well as link to parent container (sample). */ public interface ClonotypeWrapper extends Countable { /** * Gets the clonotype description and abundance data. * For certain implementations returns the representative clonotype. * * @return a clonotype. */ Clonotype getClonotype(); /** * Gets parent clonotype container (sample). * * @return parent clonotype container. */ ClonotypeWrapperContainer getParent(); } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/misc/000755 001750 001750 00000000000 13525023773 026617 5ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/misc/LinkedListExt.java000644 001750 001750 00000102405 13525023773 032207 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ /* * Added concatenate method */ package com.antigenomics.vdjtools.misc; import java.util.*; /** * Linked list implementation of the List interface. Implements all * optional list operations, and permits all elements (including * null). In addition to implementing the List interface, * the LinkedList class provides uniformly named methods to * get, remove and insert an element at the * beginning and end of the list. These operations allow linked lists to be * used as a stack, {@linkplain Queue queue}, or {@linkplain Deque * double-ended queue}.

*

* The class implements the Deque interface, providing * first-in-first-out queue operations for add, * poll, along with other stack and deque operations.

*

* All of the operations perform as could be expected for a doubly-linked * list. Operations that index into the list will traverse the list from * the beginning or the end, whichever is closer to the specified index.

*

*

Note that this implementation is not synchronized. * If multiple threads access a linked list concurrently, and at least * one of the threads modifies the list structurally, it must be * synchronized externally. (A structural modification is any operation * that adds or deletes one or more elements; merely setting the value of * an element is not a structural modification.) This is typically * accomplished by synchronizing on some object that naturally * encapsulates the list. *

* If no such object exists, the list should be "wrapped" using the * {@link Collections#synchronizedList Collections.synchronizedList} * method. This is best done at creation time, to prevent accidental * unsynchronized access to the list:

 *   List list = Collections.synchronizedList(new LinkedList(...));
*

*

The iterators returned by this class's iterator and * listIterator methods are fail-fast: if the list is * structurally modified at any time after the iterator is created, in * any way except through the Iterator's own remove or * add methods, the iterator will throw a {@link * ConcurrentModificationException}. Thus, in the face of concurrent * modification, the iterator fails quickly and cleanly, rather than * risking arbitrary, non-deterministic behavior at an undetermined * time in the future. *

*

Note that the fail-fast behavior of an iterator cannot be guaranteed * as it is, generally speaking, impossible to make any hard guarantees in the * presence of unsynchronized concurrent modification. Fail-fast iterators * throw ConcurrentModificationException on a best-effort basis. * Therefore, it would be wrong to write a program that depended on this * exception for its correctness: the fail-fast behavior of iterators * should be used only to detect bugs. *

*

This class is a member of the * * Java Collections Framework. * * @param the type of elements held in this collection * @author Josh Bloch * @see List * @see ArrayList * @see Vector * @since 1.2 */ public class LinkedListExt extends AbstractSequentialList implements List, Deque, Cloneable, java.io.Serializable { private static final long serialVersionUID = 876323262645176354L; private transient Entry header = new Entry(null, null, null); private transient int size = 0; /** * Constructs an empty list. */ public LinkedListExt() { header.next = header.previous = header; } /** * Constructs a list containing the elements of the specified * collection, in the order they are returned by the collection's * iterator. * * @param c the collection whose elements are to be placed into this list * @throws NullPointerException if the specified collection is null */ public LinkedListExt(Collection c) { this(); addAll(c); } /** * Returns the first element in this list. * * @return the first element in this list * @throws NoSuchElementException if this list is empty */ public E getFirst() { if (size == 0) throw new NoSuchElementException(); return header.next.element; } /** * Returns the last element in this list. * * @return the last element in this list * @throws NoSuchElementException if this list is empty */ public E getLast() { if (size == 0) throw new NoSuchElementException(); return header.previous.element; } /** * Removes and returns the first element from this list. * * @return the first element from this list * @throws NoSuchElementException if this list is empty */ public E removeFirst() { return remove(header.next); } /** * Removes and returns the last element from this list. * * @return the last element from this list * @throws NoSuchElementException if this list is empty */ public E removeLast() { return remove(header.previous); } /** * Inserts the specified element at the beginning of this list. * * @param e the element to add */ public void addFirst(E e) { addBefore(e, header.next); } /** * Appends the specified element to the end of this list. *

*

This method is equivalent to {@link #add}. * * @param e the element to add */ public void addLast(E e) { addBefore(e, header); } /** * Returns true if this list contains the specified element. * More formally, returns true if and only if this list contains * at least one element e such that * (o==null ? e==null : o.equals(e)). * * @param o element whose presence in this list is to be tested * @return true if this list contains the specified element */ public boolean contains(Object o) { return indexOf(o) != -1; } /** * Returns the number of elements in this list. * * @return the number of elements in this list */ public int size() { return size; } /** * Appends the specified element to the end of this list. *

*

This method is equivalent to {@link #addLast}. * * @param e element to be appended to this list * @return true (as specified by {@link Collection#add}) */ public boolean add(E e) { addBefore(e, header); return true; } /** * Removes the first occurrence of the specified element from this list, * if it is present. If this list does not contain the element, it is * unchanged. More formally, removes the element with the lowest index * i such that * (o==null ? get(i)==null : o.equals(get(i))) * (if such an element exists). Returns true if this list * contained the specified element (or equivalently, if this list * changed as a result of the call). * * @param o element to be removed from this list, if present * @return true if this list contained the specified element */ public boolean remove(Object o) { if (o == null) { for (Entry e = header.next; e != header; e = e.next) { if (e.element == null) { remove(e); return true; } } } else { for (Entry e = header.next; e != header; e = e.next) { if (o.equals(e.element)) { remove(e); return true; } } } return false; } /** * Appends all of the elements in the specified collection to the end of * this list, in the order that they are returned by the specified * collection's iterator. The behavior of this operation is undefined if * the specified collection is modified while the operation is in * progress. (Note that this will occur if the specified collection is * this list, and it's nonempty.) * * @param c collection containing elements to be added to this list * @return true if this list changed as a result of the call * @throws NullPointerException if the specified collection is null */ public boolean addAll(Collection c) { return addAll(size, c); } /** * Inserts all of the elements in the specified collection into this * list, starting at the specified position. Shifts the element * currently at that position (if any) and any subsequent elements to * the right (increases their indices). The new elements will appear * in the list in the order that they are returned by the * specified collection's iterator. * * @param index index at which to insert the first element * from the specified collection * @param c collection containing elements to be added to this list * @return true if this list changed as a result of the call * @throws IndexOutOfBoundsException {@inheritDoc} * @throws NullPointerException if the specified collection is null */ public boolean addAll(int index, Collection c) { if (index < 0 || index > size) throw new IndexOutOfBoundsException("Index: " + index + ", Size: " + size); Object[] a = c.toArray(); int numNew = a.length; if (numNew == 0) return false; modCount++; Entry successor = (index == size ? header : entry(index)); Entry predecessor = successor.previous; for (int i = 0; i < numNew; i++) { Entry e = new Entry((E) a[i], successor, predecessor); predecessor.next = e; predecessor = e; } successor.previous = predecessor; size += numNew; return true; } /** * Concatenates two linked lists in O(1) time * @param list second linked list */ public void concatenate(LinkedListExt list) { header.previous.next = list.header.next; list.header.next.previous = header.previous; list.header.previous.next = header.next; header.next.previous = list.header.previous; list.header.next = header.next; header.previous = list.header.previous; size = size + list.size; modCount = modCount + list.modCount + 1; list.size = size; list.modCount = modCount; } /** * Removes all of the elements from this list. */ public void clear() { Entry e = header.next; while (e != header) { Entry next = e.next; e.next = e.previous = null; e.element = null; e = next; } header.next = header.previous = header; size = 0; modCount++; } // Positional Access Operations /** * Returns the element at the specified position in this list. * * @param index index of the element to return * @return the element at the specified position in this list * @throws IndexOutOfBoundsException {@inheritDoc} */ public E get(int index) { return entry(index).element; } /** * Replaces the element at the specified position in this list with the * specified element. * * @param index index of the element to replace * @param element element to be stored at the specified position * @return the element previously at the specified position * @throws IndexOutOfBoundsException {@inheritDoc} */ public E set(int index, E element) { Entry e = entry(index); E oldVal = e.element; e.element = element; return oldVal; } /** * Inserts the specified element at the specified position in this list. * Shifts the element currently at that position (if any) and any * subsequent elements to the right (adds one to their indices). * * @param index index at which the specified element is to be inserted * @param element element to be inserted * @throws IndexOutOfBoundsException {@inheritDoc} */ public void add(int index, E element) { addBefore(element, (index == size ? header : entry(index))); } /** * Removes the element at the specified position in this list. Shifts any * subsequent elements to the left (subtracts one from their indices). * Returns the element that was removed from the list. * * @param index the index of the element to be removed * @return the element previously at the specified position * @throws IndexOutOfBoundsException {@inheritDoc} */ public E remove(int index) { return remove(entry(index)); } /** * Returns the indexed entry. */ private Entry entry(int index) { if (index < 0 || index >= size) throw new IndexOutOfBoundsException("Index: " + index + ", Size: " + size); Entry e = header; if (index < (size >> 1)) { for (int i = 0; i <= index; i++) e = e.next; } else { for (int i = size; i > index; i--) e = e.previous; } return e; } // Search Operations /** * Returns the index of the first occurrence of the specified element * in this list, or -1 if this list does not contain the element. * More formally, returns the lowest index i such that * (o==null ? get(i)==null : o.equals(get(i))), * or -1 if there is no such index. * * @param o element to search for * @return the index of the first occurrence of the specified element in * this list, or -1 if this list does not contain the element */ public int indexOf(Object o) { int index = 0; if (o == null) { for (Entry e = header.next; e != header; e = e.next) { if (e.element == null) return index; index++; } } else { for (Entry e = header.next; e != header; e = e.next) { if (o.equals(e.element)) return index; index++; } } return -1; } /** * Returns the index of the last occurrence of the specified element * in this list, or -1 if this list does not contain the element. * More formally, returns the highest index i such that * (o==null ? get(i)==null : o.equals(get(i))), * or -1 if there is no such index. * * @param o element to search for * @return the index of the last occurrence of the specified element in * this list, or -1 if this list does not contain the element */ public int lastIndexOf(Object o) { int index = size; if (o == null) { for (Entry e = header.previous; e != header; e = e.previous) { index--; if (e.element == null) return index; } } else { for (Entry e = header.previous; e != header; e = e.previous) { index--; if (o.equals(e.element)) return index; } } return -1; } // Queue operations. /** * Retrieves, but does not remove, the head (first element) of this list. * * @return the head of this list, or null if this list is empty * @since 1.5 */ public E peek() { if (size == 0) return null; return getFirst(); } /** * Retrieves, but does not remove, the head (first element) of this list. * * @return the head of this list * @throws NoSuchElementException if this list is empty * @since 1.5 */ public E element() { return getFirst(); } /** * Retrieves and removes the head (first element) of this list * * @return the head of this list, or null if this list is empty * @since 1.5 */ public E poll() { if (size == 0) return null; return removeFirst(); } /** * Retrieves and removes the head (first element) of this list. * * @return the head of this list * @throws NoSuchElementException if this list is empty * @since 1.5 */ public E remove() { return removeFirst(); } /** * Adds the specified element as the tail (last element) of this list. * * @param e the element to add * @return true (as specified by {@link Queue#offer}) * @since 1.5 */ public boolean offer(E e) { return add(e); } // Deque operations /** * Inserts the specified element at the front of this list. * * @param e the element to insert * @return true (as specified by {@link Deque#offerFirst}) * @since 1.6 */ public boolean offerFirst(E e) { addFirst(e); return true; } /** * Inserts the specified element at the end of this list. * * @param e the element to insert * @return true (as specified by {@link Deque#offerLast}) * @since 1.6 */ public boolean offerLast(E e) { addLast(e); return true; } /** * Retrieves, but does not remove, the first element of this list, * or returns null if this list is empty. * * @return the first element of this list, or null * if this list is empty * @since 1.6 */ public E peekFirst() { if (size == 0) return null; return getFirst(); } /** * Retrieves, but does not remove, the last element of this list, * or returns null if this list is empty. * * @return the last element of this list, or null * if this list is empty * @since 1.6 */ public E peekLast() { if (size == 0) return null; return getLast(); } /** * Retrieves and removes the first element of this list, * or returns null if this list is empty. * * @return the first element of this list, or null if * this list is empty * @since 1.6 */ public E pollFirst() { if (size == 0) return null; return removeFirst(); } /** * Retrieves and removes the last element of this list, * or returns null if this list is empty. * * @return the last element of this list, or null if * this list is empty * @since 1.6 */ public E pollLast() { if (size == 0) return null; return removeLast(); } /** * Pushes an element onto the stack represented by this list. In other * words, inserts the element at the front of this list. *

*

This method is equivalent to {@link #addFirst}. * * @param e the element to push * @since 1.6 */ public void push(E e) { addFirst(e); } /** * Pops an element from the stack represented by this list. In other * words, removes and returns the first element of this list. *

*

This method is equivalent to {@link #removeFirst()}. * * @return the element at the front of this list (which is the top * of the stack represented by this list) * @throws NoSuchElementException if this list is empty * @since 1.6 */ public E pop() { return removeFirst(); } /** * Removes the first occurrence of the specified element in this * list (when traversing the list from head to tail). If the list * does not contain the element, it is unchanged. * * @param o element to be removed from this list, if present * @return true if the list contained the specified element * @since 1.6 */ public boolean removeFirstOccurrence(Object o) { return remove(o); } /** * Removes the last occurrence of the specified element in this * list (when traversing the list from head to tail). If the list * does not contain the element, it is unchanged. * * @param o element to be removed from this list, if present * @return true if the list contained the specified element * @since 1.6 */ public boolean removeLastOccurrence(Object o) { if (o == null) { for (Entry e = header.previous; e != header; e = e.previous) { if (e.element == null) { remove(e); return true; } } } else { for (Entry e = header.previous; e != header; e = e.previous) { if (o.equals(e.element)) { remove(e); return true; } } } return false; } /** * Returns a list-iterator of the elements in this list (in proper * sequence), starting at the specified position in the list. * Obeys the general contract of List.listIterator(int).

*

* The list-iterator is fail-fast: if the list is structurally * modified at any time after the Iterator is created, in any way except * through the list-iterator's own remove or add * methods, the list-iterator will throw a * ConcurrentModificationException. Thus, in the face of * concurrent modification, the iterator fails quickly and cleanly, rather * than risking arbitrary, non-deterministic behavior at an undetermined * time in the future. * * @param index index of the first element to be returned from the * list-iterator (by a call to next) * @return a ListIterator of the elements in this list (in proper * sequence), starting at the specified position in the list * @throws IndexOutOfBoundsException {@inheritDoc} * @see List#listIterator(int) */ public ListIterator listIterator(int index) { return new ListItr(index); } private class ListItr implements ListIterator { private Entry lastReturned = header; private Entry next; private int nextIndex; private int expectedModCount = modCount; ListItr(int index) { if (index < 0 || index > size) throw new IndexOutOfBoundsException("Index: " + index + ", Size: " + size); if (index < (size >> 1)) { next = header.next; for (nextIndex = 0; nextIndex < index; nextIndex++) next = next.next; } else { next = header; for (nextIndex = size; nextIndex > index; nextIndex--) next = next.previous; } } public boolean hasNext() { return nextIndex != size; } public E next() { checkForComodification(); if (nextIndex == size) throw new NoSuchElementException(); lastReturned = next; next = next.next; nextIndex++; return lastReturned.element; } public boolean hasPrevious() { return nextIndex != 0; } public E previous() { if (nextIndex == 0) throw new NoSuchElementException(); lastReturned = next = next.previous; nextIndex--; checkForComodification(); return lastReturned.element; } public int nextIndex() { return nextIndex; } public int previousIndex() { return nextIndex - 1; } public void remove() { checkForComodification(); Entry lastNext = lastReturned.next; try { LinkedListExt.this.remove(lastReturned); } catch (NoSuchElementException e) { throw new IllegalStateException(); } if (next == lastReturned) next = lastNext; else nextIndex--; lastReturned = header; expectedModCount++; } public void set(E e) { if (lastReturned == header) throw new IllegalStateException(); checkForComodification(); lastReturned.element = e; } public void add(E e) { checkForComodification(); lastReturned = header; addBefore(e, next); nextIndex++; expectedModCount++; } final void checkForComodification() { if (modCount != expectedModCount) throw new ConcurrentModificationException(); } } private static class Entry { E element; Entry next; Entry previous; Entry(E element, Entry next, Entry previous) { this.element = element; this.next = next; this.previous = previous; } } private Entry addBefore(E e, Entry entry) { Entry newEntry = new Entry(e, entry, entry.previous); newEntry.previous.next = newEntry; newEntry.next.previous = newEntry; size++; modCount++; return newEntry; } private E remove(Entry e) { if (e == header) throw new NoSuchElementException(); E result = e.element; e.previous.next = e.next; e.next.previous = e.previous; e.next = e.previous = null; e.element = null; size--; modCount++; return result; } /** * @since 1.6 */ public Iterator descendingIterator() { return new DescendingIterator(); } /** * Adapter to provide descending iterators via ListItr.previous */ private class DescendingIterator implements Iterator { final ListItr itr = new ListItr(size()); public boolean hasNext() { return itr.hasPrevious(); } public E next() { return itr.previous(); } public void remove() { itr.remove(); } } /** * Returns a shallow copy of this LinkedList. (The elements * themselves are not cloned.) * * @return a shallow copy of this LinkedList instance */ public Object clone() { LinkedListExt clone = null; try { clone = (LinkedListExt) super.clone(); } catch (CloneNotSupportedException e) { throw new InternalError(); } // Put clone into "virgin" state clone.header = new Entry(null, null, null); clone.header.next = clone.header.previous = clone.header; clone.size = 0; clone.modCount = 0; // Initialize clone with our elements for (Entry e = header.next; e != header; e = e.next) clone.add(e.element); return clone; } /** * Returns an array containing all of the elements in this list * in proper sequence (from first to last element). *

*

The returned array will be "safe" in that no references to it are * maintained by this list. (In other words, this method must allocate * a new array). The caller is thus free to modify the returned array. *

*

This method acts as bridge between array-based and collection-based * APIs. * * @return an array containing all of the elements in this list * in proper sequence */ public Object[] toArray() { Object[] result = new Object[size]; int i = 0; for (Entry e = header.next; e != header; e = e.next) result[i++] = e.element; return result; } /** * Returns an array containing all of the elements in this list in * proper sequence (from first to last element); the runtime type of * the returned array is that of the specified array. If the list fits * in the specified array, it is returned therein. Otherwise, a new * array is allocated with the runtime type of the specified array and * the size of this list. *

*

If the list fits in the specified array with room to spare (i.e., * the array has more elements than the list), the element in the array * immediately following the end of the list is set to null. * (This is useful in determining the length of the list only if * the caller knows that the list does not contain any null elements.) *

*

Like the {@link #toArray()} method, this method acts as bridge between * array-based and collection-based APIs. Further, this method allows * precise control over the runtime type of the output array, and may, * under certain circumstances, be used to save allocation costs. *

*

Suppose x is a list known to contain only strings. * The following code can be used to dump the list into a newly * allocated array of String: *

* 

     *     String[] y = x.toArray(new String[0]);
* * Note that toArray(new Object[0]) is identical in function to * toArray(). * * @param a the array into which the elements of the list are to * be stored, if it is big enough; otherwise, a new array of the * same runtime type is allocated for this purpose. * @return an array containing the elements of the list * @throws ArrayStoreException if the runtime type of the specified array * is not a supertype of the runtime type of every element in * this list * @throws NullPointerException if the specified array is null */ public T[] toArray(T[] a) { if (a.length < size) a = (T[]) java.lang.reflect.Array.newInstance( a.getClass().getComponentType(), size); int i = 0; Object[] result = a; for (Entry e = header.next; e != header; e = e.next) result[i++] = e.element; if (a.length > size) a[size] = null; return a; } /** * Save the state of this LinkedList instance to a stream (that * is, serialize it). * * @serialData The size of the list (the number of elements it * contains) is emitted (int), followed by all of its * elements (each an Object) in the proper order. */ private void writeObject(java.io.ObjectOutputStream s) throws java.io.IOException { // Write out any hidden serialization magic s.defaultWriteObject(); // Write out size s.writeInt(size); // Write out all elements in the proper order. for (Entry e = header.next; e != header; e = e.next) s.writeObject(e.element); } /** * Reconstitute this LinkedList instance from a stream (that is * deserialize it). */ private void readObject(java.io.ObjectInputStream s) throws java.io.IOException, ClassNotFoundException { // Read in any hidden serialization magic s.defaultReadObject(); // Read in size int size = s.readInt(); // Initialize header header = new Entry(null, null, null); header.next = header.previous = header; // Read in all elements in the proper order. for (int i = 0; i < size; i++) addBefore((E) s.readObject(), header); } } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/misc/AtomicDouble.java000644 001750 001750 00000017524 13525023773 032042 0ustar00moellermoeller000000 000000 /* * Written by Doug Lea and Martin Buchholz with assistance from * members of JCP JSR-166 Expert Group and released to the public * domain, as explained at * http://creativecommons.org/publicdomain/zero/1.0/ */ /* * Source: * http://gee.cs.oswego.edu/cgi-bin/viewcvs.cgi/jsr166/src/jsr166e/extra/AtomicDouble.java?revision=1.13 * (Modified to adapt to guava coding conventions and * to use AtomicLongFieldUpdater instead of sun.misc.Unsafe) */ package com.antigenomics.vdjtools.misc; import static java.lang.Double.doubleToRawLongBits; import static java.lang.Double.longBitsToDouble; import java.util.concurrent.atomic.AtomicLongFieldUpdater; /** * A {@code double} value that may be updated atomically. See the * {@link java.util.concurrent.atomic} package specification for * description of the properties of atomic variables. An {@code * AtomicDouble} is used in applications such as atomic accumulation, * and cannot be used as a replacement for a {@link Double}. However, * this class does extend {@code Number} to allow uniform access by * tools and utilities that deal with numerically-based classes. * *

This class compares primitive {@code double} * values in methods such as {@link #compareAndSet} by comparing their * bitwise representation using {@link Double#doubleToRawLongBits}, * which differs from both the primitive double {@code ==} operator * and from {@link Double#equals}, as if implemented by: * 

 {@code
 * static boolean bitEquals(double x, double y) {
 *   long xBits = Double.doubleToRawLongBits(x);
 *   long yBits = Double.doubleToRawLongBits(y);
 *   return xBits == yBits;
 * }}
* *

It is possible to write a more scalable updater, at the cost of * giving up strict atomicity. See for example * * and * . * * @author Doug Lea * @author Martin Buchholz * @since 11.0 */ public class AtomicDouble extends Number implements java.io.Serializable { private static final long serialVersionUID = 0L; private transient volatile long value; private static final AtomicLongFieldUpdater updater = AtomicLongFieldUpdater.newUpdater(AtomicDouble.class, "value"); /** * Creates a new {@code AtomicDouble} with the given initial value. * * @param initialValue the initial value */ public AtomicDouble(double initialValue) { value = doubleToRawLongBits(initialValue); } /** * Creates a new {@code AtomicDouble} with initial value {@code 0.0}. */ public AtomicDouble() { // assert doubleToRawLongBits(0.0) == 0L; } /** * Gets the current value. * * @return the current value */ public final double get() { return longBitsToDouble(value); } /** * Sets to the given value. * * @param newValue the new value */ public final void set(double newValue) { long next = doubleToRawLongBits(newValue); value = next; } /** * Eventually sets to the given value. * * @param newValue the new value */ public final void lazySet(double newValue) { set(newValue); // TODO(user): replace with code below when jdk5 support is dropped. // long next = doubleToRawLongBits(newValue); // updater.lazySet(this, next); } /** * Atomically sets to the given value and returns the old value. * * @param newValue the new value * @return the previous value */ public final double getAndSet(double newValue) { long next = doubleToRawLongBits(newValue); return longBitsToDouble(updater.getAndSet(this, next)); } /** * Atomically sets the value to the given updated value * if the current value is bitwise equal * to the expected value. * * @param expect the expected value * @param update the new value * @return {@code true} if successful. False return indicates that * the actual value was not bitwise equal to the expected value. */ public final boolean compareAndSet(double expect, double update) { return updater.compareAndSet(this, doubleToRawLongBits(expect), doubleToRawLongBits(update)); } /** * Atomically sets the value to the given updated value * if the current value is bitwise equal * to the expected value. * *

May * fail spuriously * and does not provide ordering guarantees, so is only rarely an * appropriate alternative to {@code compareAndSet}. * * @param expect the expected value * @param update the new value * @return {@code true} if successful */ public final boolean weakCompareAndSet(double expect, double update) { return updater.weakCompareAndSet(this, doubleToRawLongBits(expect), doubleToRawLongBits(update)); } /** * Atomically adds the given value to the current value. * * @param delta the value to add * @return the previous value */ public final double getAndAdd(double delta) { while (true) { long current = value; double currentVal = longBitsToDouble(current); double nextVal = currentVal + delta; long next = doubleToRawLongBits(nextVal); if (updater.compareAndSet(this, current, next)) { return currentVal; } } } /** * Atomically adds the given value to the current value. * * @param delta the value to add * @return the updated value */ public final double addAndGet(double delta) { while (true) { long current = value; double currentVal = longBitsToDouble(current); double nextVal = currentVal + delta; long next = doubleToRawLongBits(nextVal); if (updater.compareAndSet(this, current, next)) { return nextVal; } } } /** * Returns the String representation of the current value. * @return the String representation of the current value */ public String toString() { return Double.toString(get()); } /** * Returns the value of this {@code AtomicDouble} as an {@code int} * after a narrowing primitive conversion. */ public int intValue() { return (int) get(); } /** * Returns the value of this {@code AtomicDouble} as a {@code long} * after a narrowing primitive conversion. */ public long longValue() { return (long) get(); } /** * Returns the value of this {@code AtomicDouble} as a {@code float} * after a narrowing primitive conversion. */ public float floatValue() { return (float) get(); } /** * Returns the value of this {@code AtomicDouble} as a {@code double}. */ public double doubleValue() { return get(); } /** * Saves the state to a stream (that is, serializes it). * * @serialData The current value is emitted (a {@code double}). */ private void writeObject(java.io.ObjectOutputStream s) throws java.io.IOException { s.defaultWriteObject(); s.writeDouble(get()); } /** * Reconstitutes the instance from a stream (that is, deserializes it). */ private void readObject(java.io.ObjectInputStream s) throws java.io.IOException, ClassNotFoundException { s.defaultReadObject(); set(s.readDouble()); } }vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/misc/MathUtil.java000644 001750 001750 00000014121 13525023773 031210 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.misc; import org.apache.commons.math3.special.Gamma; import org.apache.commons.math3.util.FastMath; import java.util.Random; /** * Fast Java implementation for mathematical routines used in VDJtools */ public final class MathUtil { private MathUtil() { } /** * Upper limit on current precision of RepSeq */ public static final double JITTER = 1e-9, JITTER_LOG10 = Math.log10(JITTER); private static final double HALF_LOG_2_PI = 0.5 * FastMath.log(2.0 * FastMath.PI); private static final long[] FACTORIALS = new long[]{ 1L, 1L, 2L, 6L, 24L, 120L, 720L, 5040L, 40320L, 362880L, 3628800L, 39916800L, 479001600L, 6227020800L, 87178291200L, 1307674368000L, 20922789888000L, 355687428096000L, 6402373705728000L, 121645100408832000L, 2432902008176640000L}; /** * Computes the logarithm of n!/(n-k)!. Implemented based on apache math 3 */ public static double logFactorialRatio(final int n, final int k) { if (k > n) throw new IllegalArgumentException("k should be less or equal to n"); return fastLogFactorial(n) - fastLogFactorial(n - k); } private static double fastLogFactorial(final long x) { return x < FACTORIALS.length ? FastMath.log(FACTORIALS[(int) x]) : fastLogGamma(x); } /** * Internal. Implemented based on apache math 3 * * @param x * @return */ private static double fastLogGamma(final double x) { double sum = Gamma.lanczos(x); double tmp = x + Gamma.LANCZOS_G + .5; return ((x + .5) * FastMath.log(tmp)) - tmp + HALF_LOG_2_PI + FastMath.log(sum / x); } public static double distanceCorrelation(final double[][] x, final double[][] y) { int n = x.length; if (n != y.length) throw new IndexOutOfBoundsException("x and y should be of same length"); double[][] a = new double[n][n], b = new double[n][n]; double[] a1m = new double[n], a2m = new double[n], b1m = new double[n], b2m = new double[n]; double am = 0, bm = 0; for (int i = 0; i < n; i++) { for (int j = 0; j < n; j++) { if (i != j) { double aa = euclDist(x[i], x[j]), bb = euclDist(y[i], y[j]); a[i][j] = aa; b[i][j] = bb; a1m[i] += aa; a2m[j] += aa; b1m[i] += bb; b2m[j] += bb; am += aa; bm += bb; } } } double[][] A = new double[n][n], B = new double[n][n]; for (int i = 0; i < n; i++) { for (int j = 0; j < n; j++) { A[i][j] = a[i][j] - (a1m[i] - a2m[j] - am / n) / n; B[i][j] = b[i][j] - (b1m[i] - b2m[j] - bm / n) / n; } } double dCovXY = 0, dVarX = 0, dVarY = 0; for (int i = 0; i < n; i++) { for (int j = 0; j < n; j++) { double AA = A[i][j], BB = B[i][j]; dCovXY += AA * BB; dVarX += AA * AA; dVarY += BB * BB; } } return Math.sqrt(dCovXY) / Math.sqrt(Math.sqrt(dVarX * dVarY)); } private static double euclDist(final double[] xx, final double[] yy) { int n = xx.length; if (n != yy.length) throw new IndexOutOfBoundsException("x and y should be of same length"); double dist = 0; for (int i = 0; i < n; i++) { dist += xx[i] * yy[i]; } return Math.sqrt(dist); } public static void shuffle(final T[] arr) { Random rnd = new Random(); for (int i = arr.length - 1; i > 0; i--) { int index = rnd.nextInt(i + 1); T tmp = arr[index]; arr[index] = arr[i]; arr[i] = tmp; } } public static double JSD(final double[] pArr, final double[] qArr) throws Exception { int n = pArr.length; if (n != qArr.length) throw new RuntimeException("Input histograms must be of same length"); double pSum = 0, qSum = 0; for (int i = 0; i < n; i++) { pSum += pArr[i]; qSum += qArr[i]; } double jsd = 0; for (int i = 0; i < n; i++) { double p = pArr[i] / pSum, q = qArr[i] / qSum, m = (p + q) / 2.0; jsd += (p > 0 ? (Math.log(p / m) * p) : 0d) + (q > 0 ? (Math.log(q / m) * q) : 0d); } return jsd / 2.0 / Math.log(2.0); } } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/misc/AtomicDoubleArray.java000644 001750 001750 00000026021 13525023773 033031 0ustar00moellermoeller000000 000000 /* * Written by Doug Lea and Martin Buchholz with assistance from * members of JCP JSR-166 Expert Group and released to the public * domain, as explained at * http://creativecommons.org/publicdomain/zero/1.0/ */ /* * Source: * http://gee.cs.oswego.edu/cgi-bin/viewcvs.cgi/jsr166/src/jsr166e/extra/ */ package com.antigenomics.vdjtools.misc; import static java.lang.Double.doubleToRawLongBits; import static java.lang.Double.longBitsToDouble; /** * A {@code double} array in which elements may be updated atomically. * See the {@link java.util.concurrent.atomic} package specification * for description of the properties of atomic variables. * *

This class compares primitive {@code double} * values in methods such as {@link #compareAndSet} by comparing their * bitwise representation using {@link Double#doubleToRawLongBits}, * which differs from both the primitive double {@code ==} operator * and from {@link Double#equals}, as if implemented by: * 

 {@code
 * static boolean bitEquals(double x, double y) {
 *   long xBits = Double.doubleToRawLongBits(x);
 *   long yBits = Double.doubleToRawLongBits(y);
 *   return xBits == yBits;
 * }}
* * @author Doug Lea * @author Martin Buchholz */ public class AtomicDoubleArray implements java.io.Serializable { private static final long serialVersionUID = -2308431214976778248L; private final transient long[] array; private long checkedByteOffset(int i) { if (i < 0 || i >= array.length) throw new IndexOutOfBoundsException("index " + i); return byteOffset(i); } private static long byteOffset(int i) { return ((long) i << shift) + base; } /** * Creates a new {@code AtomicDoubleArray} of the given length, * with all elements initially zero. * * @param length the length of the array */ public AtomicDoubleArray(int length) { array = new long[length]; } /** * Creates a new {@code AtomicDoubleArray} with the same length * as, and all elements copied from, the given array. * * @param array the array to copy elements from * @throws NullPointerException if array is null */ public AtomicDoubleArray(double[] array) { // Visibility guaranteed by final field guarantees final int len = array.length; final long[] a = new long[len]; for (int i = 0; i < len; i++) a[i] = doubleToRawLongBits(array[i]); this.array = a; } /** * Returns the length of the array. * * @return the length of the array */ public final int length() { return array.length; } /** * Gets the current value at position {@code i}. * * @param i the index * @return the current value */ public final double get(int i) { return longBitsToDouble(getRaw(checkedByteOffset(i))); } private long getRaw(long offset) { return unsafe.getLongVolatile(array, offset); } /** * Sets the element at position {@code i} to the given value. * * @param i the index * @param newValue the new value */ public final void set(int i, double newValue) { long next = doubleToRawLongBits(newValue); unsafe.putLongVolatile(array, checkedByteOffset(i), next); } /** * Eventually sets the element at position {@code i} to the given value. * * @param i the index * @param newValue the new value */ public final void lazySet(int i, double newValue) { long next = doubleToRawLongBits(newValue); unsafe.putOrderedLong(array, checkedByteOffset(i), next); } /** * Atomically sets the element at position {@code i} to the given value * and returns the old value. * * @param i the index * @param newValue the new value * @return the previous value */ public final double getAndSet(int i, double newValue) { long next = doubleToRawLongBits(newValue); long offset = checkedByteOffset(i); while (true) { long current = getRaw(offset); if (compareAndSetRaw(offset, current, next)) return longBitsToDouble(current); } } /** * Atomically sets the element at position {@code i} to the given * updated value * if the current value is bitwise equal * to the expected value. * * @param i the index * @param expect the expected value * @param update the new value * @return true if successful. False return indicates that * the actual value was not equal to the expected value. */ public final boolean compareAndSet(int i, double expect, double update) { return compareAndSetRaw(checkedByteOffset(i), doubleToRawLongBits(expect), doubleToRawLongBits(update)); } private boolean compareAndSetRaw(long offset, long expect, long update) { return unsafe.compareAndSwapLong(array, offset, expect, update); } /** * Atomically sets the element at position {@code i} to the given * updated value * if the current value is bitwise equal * to the expected value. * *

* May fail spuriously and does not provide ordering guarantees, * so is only rarely an appropriate alternative to {@code compareAndSet}. * * @param i the index * @param expect the expected value * @param update the new value * @return true if successful */ public final boolean weakCompareAndSet(int i, double expect, double update) { return compareAndSet(i, expect, update); } /** * Atomically adds the given value to the element at index {@code i}. * * @param i the index * @param delta the value to add * @return the previous value */ public final double getAndAdd(int i, double delta) { long offset = checkedByteOffset(i); while (true) { long current = getRaw(offset); double currentVal = longBitsToDouble(current); double nextVal = currentVal + delta; long next = doubleToRawLongBits(nextVal); if (compareAndSetRaw(offset, current, next)) return currentVal; } } /** * Atomically adds the given value to the element at index {@code i}. * * @param i the index * @param delta the value to add * @return the updated value */ public double addAndGet(int i, double delta) { long offset = checkedByteOffset(i); while (true) { long current = getRaw(offset); double currentVal = longBitsToDouble(current); double nextVal = currentVal + delta; long next = doubleToRawLongBits(nextVal); if (compareAndSetRaw(offset, current, next)) return nextVal; } } /** * Returns the String representation of the current values of array. * @return the String representation of the current values of array */ public String toString() { int iMax = array.length - 1; if (iMax == -1) return "[]"; // Double.toString(Math.PI).length() == 17 StringBuilder b = new StringBuilder((17 + 2) * (iMax + 1)); b.append('['); for (int i = 0;; i++) { b.append(longBitsToDouble(getRaw(byteOffset(i)))); if (i == iMax) return b.append(']').toString(); b.append(',').append(' '); } } /** * Saves the state to a stream (that is, serializes it). * * @param s the stream * @throws java.io.IOException if an I/O error occurs * @serialData The length of the array is emitted (int), followed by all * of its elements (each a {@code double}) in the proper order. */ private void writeObject(java.io.ObjectOutputStream s) throws java.io.IOException { s.defaultWriteObject(); // Write out array length int length = length(); s.writeInt(length); // Write out all elements in the proper order. for (int i = 0; i < length; i++) s.writeDouble(get(i)); } /** * Reconstitutes the instance from a stream (that is, deserializes it). * @param s the stream * @throws ClassNotFoundException if the class of a serialized object * could not be found * @throws java.io.IOException if an I/O error occurs */ private void readObject(java.io.ObjectInputStream s) throws java.io.IOException, ClassNotFoundException { s.defaultReadObject(); // Read in array length and allocate array int length = s.readInt(); unsafe.putObjectVolatile(this, arrayOffset, new long[length]); // Read in all elements in the proper order. for (int i = 0; i < length; i++) set(i, s.readDouble()); } // Unsafe mechanics private static final sun.misc.Unsafe unsafe = getUnsafe(); private static final long arrayOffset; private static final int base = unsafe.arrayBaseOffset(long[].class); private static final int shift; static { try { Class k = AtomicDoubleArray.class; arrayOffset = unsafe.objectFieldOffset (k.getDeclaredField("array")); int scale = unsafe.arrayIndexScale(long[].class); if ((scale & (scale - 1)) != 0) throw new Error("data type scale not a power of two"); shift = 31 - Integer.numberOfLeadingZeros(scale); } catch (Exception e) { throw new Error(e); } } /** * Returns a sun.misc.Unsafe. Suitable for use in a 3rd party package. * Replace with a simple call to Unsafe.getUnsafe when integrating * into a jdk. * * @return a sun.misc.Unsafe */ private static sun.misc.Unsafe getUnsafe() { try { return sun.misc.Unsafe.getUnsafe(); } catch (SecurityException tryReflectionInstead) {} try { return java.security.AccessController.doPrivileged (new java.security.PrivilegedExceptionAction() { public sun.misc.Unsafe run() throws Exception { Class k = sun.misc.Unsafe.class; for (java.lang.reflect.Field f : k.getDeclaredFields()) { f.setAccessible(true); Object x = f.get(null); if (k.isInstance(x)) return k.cast(x); } throw new NoSuchFieldError("the Unsafe"); }}); } catch (java.security.PrivilegedActionException e) { throw new RuntimeException("Could not initialize intrinsics", e.getCause()); } } }vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/misc/StatUtil.java000644 001750 001750 00000027400 13525023773 031236 0ustar00moellermoeller000000 000000 package com.antigenomics.vdjtools.misc; import org.apache.commons.math3.special.Beta; import org.apache.commons.math3.special.Erf; import org.apache.commons.math3.special.Gamma; import org.apache.commons.math3.util.FastMath; import org.apache.commons.math3.util.MathUtils; import static org.apache.commons.math3.special.Beta.regularizedBeta; import static org.apache.commons.math3.util.CombinatoricsUtils.binomialCoefficientLog; /** * Basic distributions (PDF/CDF), copied from MAGERI + Apache Math 3 */ public final class StatUtil { private StatUtil() { } /// POISSON // P(X==k|lambda) public static double poissonPdf(int k, double lambda) { double ret; if (k < 0 || k == Integer.MAX_VALUE) { return 0; } else if (k == 0) { ret = -lambda; } else { ret = -getStirlingError(k) - getDeviancePart(k, lambda) - 0.5 * FastMath.log(MathUtils.TWO_PI) - 0.5 * FastMath.log(k); } return FastMath.exp(ret); } // P(X<=k|lambda) public static double poissonCdf(int k, double lambda) { if (k < 0) { return 0; } if (k == Integer.MAX_VALUE) { return 1; } return Gamma.regularizedGammaQ((double) k + 1.0, lambda, 1e-12, 10000000); } // P(X>=k|lambda) public static double poissonPValue(int k, double lambda) { return 1.0 - poissonCdf(k - 1, lambda); } // P'(X>=k|lambda), P' means special treatment of the X=k case (0.5 factor) public static double poissonPValueSymm(int k, double lambda) { return 1.0 - poissonCdf(k, lambda) + 0.5 * poissonPdf(k, lambda); } // two-sided P'(X?k|lambda) public static double poissonPValue2(int k, double lambda) { double p = poissonPValue(k, lambda); return Math.min(p, 1.0 - p); } /// BINOMIAL // P(X==k|n,p) public static double binomialPdf(int k, int n, double p) { return Math.exp(binomialCoefficientLog(n, k) + (n - k) * Math.log(1.0 - p) + k * Math.log(p)); } // P(X<=k|n,p) public static double binomialCdf(int k, int n, double p) { return regularizedBeta(1.0 - p, n - k, k + 1); } public static double binomialCdf(int k, double n, double p) { return regularizedBeta(1.0 - p, n - k, k + 1); } // P(X>=k|n,p) public static double binomialPValue(int k, int n, double p) { return 1.0 - binomialCdf(k - 1, n, p); } public static double binomialPValue(int k, double n, double p) { return 1.0 - binomialCdf(k - 1, n, p); } // P'(X>=k|n,p), P' means special treatment of the X=k case (0.5 factor) public static double binomialPValueSymm(int k, int n, double p) { return 1.0 - binomialCdf(k, n, p) + 0.5 * binomialPdf(k, n, p); } // two-sided P'(X?k|n,p) public static double binomialPValue2(int k, int n, double p) { double pp = binomialPValue(k, n, p); return Math.min(pp, 1.0 - pp); } /// NEGATIVE BINOMIAL /** * Computes the PDF of the distribution of number of successes in a sequence of * iid Bernoulli trials before a specified number of failures occurs. * * @param k number of successes * @param r number of failures until the experiment is stopped * @param p success probability in each experiment * @return probability */ public static double negativeBinomialPdf(int k, int r, double p) { return Math.exp(binomialCoefficientLog(k + r - 1, k) + r * Math.log(1.0 - p) + k * Math.log(p)); } /** * Computes the CDF of the distribution of number of successes in a sequence of * iid Bernoulli trials before a specified number of failures occurs. * * @param k number of successes * @param r number of failures until the experiment is stopped * @param p success probability in each experiment * @return cumulative */ public static double negativeBinomialCdf(int k, double r, double p) { return 1.0 - regularizedBeta(p, k + 1, r); } public static double betaBinomialPdf(int k, int n, double alpha, double beta) { return Math.exp( (Beta.logBeta(k + alpha, n - k + beta) - Beta.logBeta(alpha, beta)) + (Gamma.logGamma(n + 1) - Gamma.logGamma(k + 1) - Gamma.logGamma(n - k + 1)) ); } /// BETA BINOMIAL public static double betaBinomialCdf(int k, int n, double alpha, double beta) { double sum = 0; for (int i = 0; i < k; i++) { sum += betaBinomialPdf(i, n, alpha, beta); } return Math.min(1.0, sum); } public static double betaBinomialPvalueFast(int k, int n, double alpha, double beta) { return betaBinomialPvalueFast(k, n, alpha, beta, 1e-10); } public static double betaBinomialPvalueFast(int k, int n, double alpha, double beta, double pThreshold) { double sum = 1.0 + 0.5 * betaBinomialPdf(k, n, alpha, beta); for (int i = 0; i < k; i++) { sum -= betaBinomialPdf(i, n, alpha, beta); if (sum <= pThreshold) { return pThreshold; } } return sum; } /// NORMAL public static double normalCdf(double x, double mean, double sd) { final double dev = x - mean; if (FastMath.abs(dev) > 40 * sd) { return dev < 0 ? 0.0d : 1.0d; } return 0.5 * Erf.erfc(-dev / (sd * SQRT2)); } /// HYPERGEOMETRIC public static double hypgeomCdf(int n12, int n1, int n2, int nSamples) { // http://journals.sagepub.com.sci-hub.cc/doi/pdf/10.2466/pms.1998.87.1.51 int v = Math.max(0, n1 + n2 - nSamples), w = Math.min(n1, n2); assert n12 >= v && n12 <= w; double pPrev = 1, T = pPrev, S = pPrev; for (int i = v + 1; i <= w; i++) { pPrev *= ((double) (n1 - i + 1) * (n2 - i + 1)) / i / (nSamples - n1 - n2 + i); T += pPrev; if (i == n12) { S = T - 0.5 * pPrev; } } return S / T; } public static double hypgeomPValue(int n12, int n1, int n2, int nSamples) { double p = hypgeomCdf(n12, n1, n2, nSamples); return Math.min(p, 1 - p); } /// misc from Apache private static final double SQRT2 = Math.sqrt(2.0); /** * 1/2 * log(2 π). */ private static final double HALF_LOG_2_PI = 0.5 * FastMath.log(MathUtils.TWO_PI); /** * exact Stirling expansion error for certain values. */ private static final double[] EXACT_STIRLING_ERRORS = {0.0, /* 0.0 */ 0.1534264097200273452913848, /* 0.5 */ 0.0810614667953272582196702, /* 1.0 */ 0.0548141210519176538961390, /* 1.5 */ 0.0413406959554092940938221, /* 2.0 */ 0.03316287351993628748511048, /* 2.5 */ 0.02767792568499833914878929, /* 3.0 */ 0.02374616365629749597132920, /* 3.5 */ 0.02079067210376509311152277, /* 4.0 */ 0.01848845053267318523077934, /* 4.5 */ 0.01664469118982119216319487, /* 5.0 */ 0.01513497322191737887351255, /* 5.5 */ 0.01387612882307074799874573, /* 6.0 */ 0.01281046524292022692424986, /* 6.5 */ 0.01189670994589177009505572, /* 7.0 */ 0.01110455975820691732662991, /* 7.5 */ 0.010411265261972096497478567, /* 8.0 */ 0.009799416126158803298389475, /* 8.5 */ 0.009255462182712732917728637, /* 9.0 */ 0.008768700134139385462952823, /* 9.5 */ 0.008330563433362871256469318, /* 10.0 */ 0.007934114564314020547248100, /* 10.5 */ 0.007573675487951840794972024, /* 11.0 */ 0.007244554301320383179543912, /* 11.5 */ 0.006942840107209529865664152, /* 12.0 */ 0.006665247032707682442354394, /* 12.5 */ 0.006408994188004207068439631, /* 13.0 */ 0.006171712263039457647532867, /* 13.5 */ 0.005951370112758847735624416, /* 14.0 */ 0.005746216513010115682023589, /* 14.5 */ 0.005554733551962801371038690 /* 15.0 */ }; /** * Compute the error of Stirling's series at the given value. *

* References: *

    *
  1. Eric W. Weisstein. "Stirling's Series." From MathWorld--A Wolfram Web * Resource. * http://mathworld.wolfram.com/StirlingsSeries.html
    2. *
*

* * @param z the value. * @return the Striling's series error. */ static double getStirlingError(double z) { double ret; if (z < 15.0) { double z2 = 2.0 * z; if (FastMath.floor(z2) == z2) { ret = EXACT_STIRLING_ERRORS[(int) z2]; } else { ret = Gamma.logGamma(z + 1.0) - (z + 0.5) * FastMath.log(z) + z - HALF_LOG_2_PI; } } else { double z2 = z * z; ret = (0.083333333333333333333 - (0.00277777777777777777778 - (0.00079365079365079365079365 - (0.000595238095238095238095238 - 0.0008417508417508417508417508 / z2) / z2) / z2) / z2) / z; } return ret; } /** * A part of the deviance portion of the saddle point approximation. *

* References: *

    *
  1. Catherine Loader (2000). "Fast and Accurate Computation of Binomial * Probabilities.". * http://www.herine.net/stat/papers/dbinom.pdf
    2. *
*

* * @param x the x value. * @param mu the average. * @return a part of the deviance. */ static double getDeviancePart(double x, double mu) { double ret; if (FastMath.abs(x - mu) < 0.1 * (x + mu)) { double d = x - mu; double v = d / (x + mu); double s1 = v * d; double s = Double.NaN; double ej = 2.0 * x * v; v *= v; int j = 1; while (s1 != s) { s = s1; ej *= v; s1 = s + ej / ((j * 2) + 1); ++j; } ret = s1; } else { ret = x * FastMath.log(x / mu) + mu - x; } return ret; } /** * Compute the logarithm of the PMF for a binomial distribution * using the saddle point expansion. * * @param x the value at which the probability is evaluated. * @param n the number of trials. * @param p the probability of success. * @param q the probability of failure (1 - p). * @return log(p(x)). */ static double logBinomialProbability(int x, int n, double p, double q) { double ret; if (x == 0) { if (p < 0.1) { ret = -getDeviancePart(n, n * q) - n * p; } else { ret = n * FastMath.log(q); } } else if (x == n) { if (q < 0.1) { ret = -getDeviancePart(n, n * p) - n * q; } else { ret = n * FastMath.log(p); } } else { ret = getStirlingError(n) - getStirlingError(x) - getStirlingError(n - x) - getDeviancePart(x, n * p) - getDeviancePart(n - x, n * q); double f = (MathUtils.TWO_PI * x * (n - x)) / n; ret = -0.5 * FastMath.log(f) + ret; } return ret; } }vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/misc/SegmentFactory.java000644 001750 001750 00000006124 13525023773 032417 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.misc; import java.util.HashMap; import java.util.List; import java.util.Map; import java.util.stream.Collectors; /** * An immune receptor segment factory, acting as a cache and ensuring * compatibility of segment annotations. This class is a singleton. */ public class SegmentFactory { public static final SegmentFactory INSTANCE = new SegmentFactory(); protected final Map segmentCache = new HashMap<>(); private SegmentFactory() { segmentCache.put(Segment.MISSING.name, Segment.MISSING); } /** * Creates a new segment by identifier or returns corresponding segment object if it already exists. * * @param name segment identifier. * @return segment. */ public Segment create(String name) { Segment segment = segmentCache.get(name); if (segment == null) { segmentCache.put(name, segment = new Segment(name)); } return segment; } /** * Gets the size of segment cache. * * @return number of segments. */ public int size() { return segmentCache.size(); } /** * Gets segment by identifier. * * @param name segment identifier. * @return segment. */ public Segment getAt(String name) { return segmentCache.get(name); } public List getAtFuzzy(String namePart) { return segmentCache.entrySet() .stream() .filter(segmentEntry -> segmentEntry.getKey().startsWith(namePart)) .map(Map.Entry::getValue) .collect(Collectors.toList()); } } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/misc/Segment.java000644 001750 001750 00000005671 13525023773 031075 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.misc; import com.antigenomics.vdjtools.sample.Chain; /** * An immune receptor segment. */ public class Segment { public static final Segment MISSING = new Segment(CommonUtil.PLACEHOLDER); protected final String name; Segment(String name) { this.name = name; } /** * Gets segment identifier. * * @return segment identifier. */ public String getName() { return name; } @Override public String toString() { return name; } public Chain getChain() { if (name.length() < 3) { return Chain.NA; } switch (name.substring(0, 3).toUpperCase()) { case "TRA": return Chain.TRA; case "TRB": return Chain.TRB; case "IGH": return Chain.IGH; case "IGL": return Chain.IGL; case "IGK": return Chain.IGK; case "TRG": return Chain.TRG; case "TRD": return Chain.TRD; } return Chain.NA; } @Override public boolean equals(Object o) { if (this == o) return true; if (o == null || getClass() != o.getClass()) return false; Segment segment = (Segment) o; if (!name.equals(segment.name)) return false; return true; } @Override public int hashCode() { return name.hashCode(); } } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/join/000755 001750 001750 00000000000 13525023773 026623 5ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/join/CompositeJoinFilter.java000644 001750 001750 00000004555 13525023773 033427 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.join; /** * A set of filters all of which should be passed by a given joint clonotype. */ public class CompositeJoinFilter implements JoinFilter { private final JoinFilter[] filters; /** * Creates a set of joint that all should be passed. * * @param filters joint clonotype filters. */ public CompositeJoinFilter(JoinFilter... filters) { this.filters = filters; } /** * Checks whether a given joint clonotype passes all specified filters. * * @param jointClonotype a joint clonotype to check. * @return true if all filters are passed and joint clonotype should be retained, false otherwise. */ @Override public boolean pass(JointClonotype jointClonotype) { for (JoinFilter filter : filters) if (!filter.pass(jointClonotype)) return false; return true; } } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/join/JointSample.java000644 001750 001750 00000043767 13525023773 031734 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.join; import com.antigenomics.vdjtools.ClonotypeWrapperContainer; import com.antigenomics.vdjtools.join.key.ClonotypeKey; import com.antigenomics.vdjtools.overlap.OverlapType; import com.antigenomics.vdjtools.sample.Clonotype; import com.antigenomics.vdjtools.sample.Sample; import org.apache.commons.math3.distribution.ChiSquaredDistribution; import java.util.*; /** * A join between several clonotype tables, performed using a specific clonotype matching rule {@link #getOverlapType}. * Note that clonotypes are grouped to joint clonotypes with a representative clonotype and a list of * convergent variants for each sample under the same matching rule. Joint clonotypes can be pre-filtered using * a specified {@see JoinFilter}. */ public class JointSample implements ClonotypeWrapperContainer { private final Sample[] samples; private final double[] transformedCountSum; private final double[] intersectionFreq; private final double[][] intersectionFreqMatrix; private final long[] intersectionCount; private final long[][] intersectionCountMatrix; private final int[] intersectionDiv; private final int[] totalDiv; private final int[][] intersectionDivMatrix; private final List jointClonotypes; private final double totalMeanFreq, minMeanFreq; private final int numberOfSamples; private final long count; private final OverlapType overlapType; private final boolean reverse; private JointSample(Sample[] samples, double[] transformedCountSum, double[] intersectionFreq, double[][] intersectionFreqMatrix, long[] intersectionCount, long[][] intersectionCountMatrix, int[] totalDiv, int[] intersectionDiv, int[][] intersectionDivMatrix, List jointClonotypes, double totalMeanFreq, double minMeanFreq, int numberOfSamples, long count, OverlapType overlapType, boolean reverse) { this.samples = samples; this.transformedCountSum = transformedCountSum; this.intersectionFreq = intersectionFreq; this.intersectionFreqMatrix = intersectionFreqMatrix; this.intersectionCount = intersectionCount; this.intersectionCountMatrix = intersectionCountMatrix; this.totalDiv = totalDiv; this.intersectionDiv = intersectionDiv; this.intersectionDivMatrix = intersectionDivMatrix; this.jointClonotypes = jointClonotypes; this.totalMeanFreq = totalMeanFreq; this.minMeanFreq = minMeanFreq; this.numberOfSamples = numberOfSamples; this.count = count; this.overlapType = overlapType; this.reverse = reverse; } /** * Joins clonotype tables from several samples together. * Only joint clonotypes detected in two or more samples are retained * * @param overlapType clonotype matching rule. * @param samples a list of samples to join. */ public JointSample(OverlapType overlapType, Sample[] samples) { this(overlapType, samples, new OccurrenceJoinFilter()); } /** * Joins clonotype tables from several samples together. * * @param overlapType clonotype matching rule. * @param samples a list of samples to join. * @param joinFilter specified a filter for joint clonotypes, e.g. by number of occurrences. */ public JointSample(OverlapType overlapType, Sample[] samples, JoinFilter joinFilter) { this.numberOfSamples = samples.length; this.samples = samples; this.transformedCountSum = new double[numberOfSamples]; this.totalDiv = new int[numberOfSamples]; this.intersectionDiv = new int[numberOfSamples]; this.intersectionFreq = new double[numberOfSamples]; this.intersectionFreqMatrix = new double[numberOfSamples][numberOfSamples]; this.intersectionCount = new long[numberOfSamples]; this.intersectionCountMatrix = new long[numberOfSamples][numberOfSamples]; this.intersectionDivMatrix = new int[numberOfSamples][numberOfSamples]; this.overlapType = overlapType; this.reverse = false; ClonotypeKeyGen clonotypeKeyGen = new ClonotypeKeyGen(overlapType); Map clonotypeMap = new HashMap<>(); int sampleIndex = 0; for (Sample sample : samples) { for (Clonotype clonotype : sample) { ClonotypeKey key = clonotypeKeyGen.generateKey(clonotype); JointClonotype jointClonotype = clonotypeMap.get(key); if (jointClonotype == null) { clonotypeMap.put(key, jointClonotype = new JointClonotype(this)); } jointClonotype.addVariant(clonotype, sampleIndex); } sampleIndex++; } this.jointClonotypes = new ArrayList<>(clonotypeMap.size() / 2); double totalMeanFreq = 0, minMeanFreq = 1; int count = 0; for (JointClonotype jointClonotype : clonotypeMap.values()) { for (int i = 0; i < numberOfSamples; i++) { if (jointClonotype.present(i)) { totalDiv[i]++; } } if (joinFilter.pass(jointClonotype)) { jointClonotypes.add(jointClonotype); double meanFreq = jointClonotype.getBaseFreq(); totalMeanFreq += meanFreq; minMeanFreq = Math.min(minMeanFreq, meanFreq); for (int i = 0; i < numberOfSamples; i++) { if (jointClonotype.present(i)) { count += jointClonotype.getCount(i); double freq1 = jointClonotype.getFreq(i); int count1 = jointClonotype.getCount(i); intersectionCount[i] += count1; intersectionFreq[i] += freq1; intersectionDiv[i]++; for (int j = i + 1; j < numberOfSamples; j++) { if (jointClonotype.present(j)) { double freq2 = jointClonotype.getFreq(j); int count2 = jointClonotype.getCount(j); intersectionFreqMatrix[i][j] += freq1; intersectionFreqMatrix[j][i] += freq2; intersectionCountMatrix[i][j] += count1; intersectionCountMatrix[j][i] += count2; intersectionDivMatrix[i][j]++; } } } } } for (int i = 0; i < numberOfSamples; i++) { transformedCountSum[i] += transformCount(jointClonotype.getCount(i)); } } this.totalMeanFreq = totalMeanFreq; this.minMeanFreq = minMeanFreq; this.count = count; Collections.sort(jointClonotypes); } private static double transformCount(int count) { // www.jstor.org/stable/2332343 double transformFactor = 3 / (double) 8; return Math.sqrt(count + transformFactor); } private double goodnessOfFit(final JointClonotype jointClonotype) { // compute expected counts and chi-square double G = 0, expected = 0, expectedD = 0; for (int i = 0; i < numberOfSamples; i++) { expected += transformCount(jointClonotype.getCount(i)); expectedD += getTransformedCount(i); } expected /= expectedD; for (int i = 0; i < numberOfSamples; i++) { double observed = transformCount(jointClonotype.getCount(i)); G += observed > 0 ? observed * Math.log(observed / expected / getTransformedCount(i)) : 0; } return 2 * G; } /** * EXPERIMENTAL Computes the probability that the variance of joint clonotype's abundance can be * explained by sampling stochastics for each clonotype. */ public void computeAndCorrectSamplingPValues() { List jointClonotypes = new ArrayList<>(this.jointClonotypes); final ChiSquaredDistribution distribution = new ChiSquaredDistribution(numberOfSamples - 1); for (JointClonotype jointClonotype : jointClonotypes) { double G = goodnessOfFit(jointClonotype); jointClonotype.samplingPValue = 1.0d - distribution.cumulativeProbability(G); } Collections.sort(jointClonotypes, new Comparator() { @Override public int compare(JointClonotype o1, JointClonotype o2) { return -Double.compare(o1.getSamplingPValue(), o2.getSamplingPValue()); } }); // todo: http://www.biomedcentral.com/1471-2105/9/303 ? for (int i = 0; i < jointClonotypes.size(); i++) { JointClonotype jointClonotype = jointClonotypes.get(i); jointClonotype.samplingPValue *= jointClonotypes.size() / (i + 1); jointClonotype.samplingPValue = Math.min(1.0, jointClonotype.samplingPValue); } } /** * Gets the number of samples that were joined. * * @return number of samples. */ public int getNumberOfSamples() { return numberOfSamples; } /** * Gets the original sample that was joined by index. * * @param sampleIndex sample index. * @return original sample. */ public Sample getSample(int sampleIndex) { return samples[getIndex(sampleIndex)]; } /** * {@inheritDoc} */ @Override public double getFreq() { return 1.0; } /** * {@inheritDoc} */ @Override public double getFreqAsInInput() { return 1.0; } /** * Total number of joint clonotypes in this joint sample, not counting convergent variants. * * @return total number of joint conotypes. */ @Override public int getDiversity() { return jointClonotypes.size(); } /** * Gets the total read count in this joint sample. * * @return read count sum for all joint clonotypes. */ @Override public long getCount() { return count; } private double getTransformedCount(int sampleIndex) { return transformedCountSum[getIndex(sampleIndex)]; } protected long getCount(int sampleIndex) { return getSample(sampleIndex).getCount(); } /** * Gets joint clonotype by index. * * @param index joint clonotype index. * @return joint clonotype. */ @Override public JointClonotype getAt(int index) { JointClonotype jointClonotype = jointClonotypes.get(index); return reverse ? jointClonotype.changeParent(this) : jointClonotype; } /** * {@inheritDoc} */ @Override public boolean isSorted() { return true; } /** * Gets the original number of clonotypes in a given sample, not accounting for sub-variants. * * @param sampleIndex sample index. * @return diversity of a given sample, not accounting for sub-variants. */ public int getTotalDiv(int sampleIndex) { return totalDiv[getIndex(sampleIndex)]; } /** * Gets the number of overlapping clonotypes in a given sample, not accounting for sub-variants. * * @param sampleIndex sample index. * @return number of clonotypes in intersection coming from a given sample, not accounting for sub-variants. */ public int getIntersectionDiv(int sampleIndex) { return intersectionDiv[getIndex(sampleIndex)]; } /** * Gets the number of intersecting clonotypes for a given pair of samples, not accounting for sub-variants. * * @param sampleIndex1 index of first sample. * @param sampleIndex2 index of second sample. * @return number of clonotypes in intersection, not accounting for sub-variants. */ public int getIntersectionDiv(int sampleIndex1, int sampleIndex2) { return sampleIndex1 < sampleIndex2 ? intersectionDivMatrix[sampleIndex1][sampleIndex2] : intersectionDivMatrix[sampleIndex2][sampleIndex1]; } /** * Gets the frequency sum of overlapping clonotypes in a given sample. * * @param sampleIndex sample index. * @return sum of overlapping clonotype frequencies in a given sample. */ public double getIntersectionFreq(int sampleIndex) { return intersectionFreq[getIndex(sampleIndex)]; } /** * Gets the frequency sum of clonotypes overlapping specifies between samples. * The sum is computed based on clonotype frequencies in the first sample. * * @param sampleIndex1 index of first sample. * @param sampleIndex2 index of second sample. * @return sum of overlapping clonotype frequncies, according to first sample. */ public double getIntersectionFreq(int sampleIndex1, int sampleIndex2) { return intersectionFreqMatrix[getIndex(sampleIndex1)][getIndex(sampleIndex2)]; } /** * Gets the read count sum of overlapping clonotypes in a given sample. * * @param sampleIndex sample index. * @return sum of overlapping clonotype read counts in a given sample. */ public long getIntersectionCount(int sampleIndex) { return intersectionCount[getIndex(sampleIndex)]; } /** * Gets the read count sum of clonotypes overlapping specifies between samples. * The sum is computed based on clonotype frequencies in the first sample. * * @param sampleIndex1 index of first sample. * @param sampleIndex2 index of second sample. * @return sum of overlapping clonotype read counts, according to first sample. */ public long getIntersectionCount(int sampleIndex1, int sampleIndex2) { return intersectionCountMatrix[getIndex(sampleIndex1)][getIndex(sampleIndex2)]; } /** * Gets the clonotype matching rule used to construct a given joint sample. * * @return clonotype matching rule. */ public OverlapType getOverlapType() { return overlapType; } /** * INTERNAL used for plain-text table output of joint sample output. */ public double getTotalMeanFreq() { return totalMeanFreq; } /** * INTERNAL used for plain-text table output of joint sample output. */ public double calcFreq(double meanFreq) { return meanFreq / totalMeanFreq; } /** * INTERNAL used for plain-text table output of joint sample output. */ public int calcCount(double freq) { return (int) (freq / minMeanFreq); } int getIndex(int sampleIndex) { return reverse ? (numberOfSamples - sampleIndex - 1) : sampleIndex; } @Override public boolean equals(Object o) { if (this == o) return true; if (o == null || getClass() != o.getClass()) return false; JointSample that = (JointSample) o; return Arrays.equals(samples, that.samples) && reverse == that.reverse; } @Override public int hashCode() { return 31 * Arrays.hashCode(samples) + (reverse ? 1231 : 1237); } @Override public Iterator iterator() { final Iterator iterator = jointClonotypes.iterator(); if (reverse) { return new Iterator() { @Override public boolean hasNext() { return iterator.hasNext(); } @Override public JointClonotype next() { return iterator.next().changeParent(JointSample.this); } @Override public void remove() { throw new UnsupportedOperationException("remove"); } }; } return iterator; } /** * INTERNAL Reverses the sample order given joint sample. * * @return */ public JointSample getReverse() throws Exception { if (reverse) throw new RuntimeException("Already reversed, for the sake of performance multiple reverse is disabled"); return new JointSample(samples, transformedCountSum, intersectionFreq, intersectionFreqMatrix, intersectionCount, intersectionCountMatrix, totalDiv, intersectionDiv, intersectionDivMatrix, jointClonotypes, totalMeanFreq, minMeanFreq, numberOfSamples, count, overlapType, true); } } src/main/java/com/antigenomics/vdjtools/join/SampleSpecificOccurrenceJoinFilter.java000644 001750 001750 00000007124 13525023773 036301 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.join; import java.util.Collections; import java.util.Set; /** * A filter that retains or filters out all clonotypes that were detected in a specified sample(s). * Decision is made according to the number of times the clonotype was detected in the sample set, * not accounting for convergent variant count. */ public class SampleSpecificOccurrenceJoinFilter implements JoinFilter { private final int occurrenceThreshold; private final Set sampleIds; private final boolean enrichment; /** * Creates a sample-specific filter. Clonotype occurrences are counted in a specified sample set. * Decision to retain or filter joint clonotype is made according to occurrence count. * * @param sampleIds identifiers (sample.id from metadata) of samples. * @param occurrenceThreshold inclusive lower bound on number of times the clonotype should be detected in specified sample set to be marked as "detected". * @param enrichment if set to true will retain clonotypes that were detected, will filter them out otherwise. */ public SampleSpecificOccurrenceJoinFilter(Set sampleIds, int occurrenceThreshold, boolean enrichment) { this.occurrenceThreshold = occurrenceThreshold; this.sampleIds = sampleIds; this.enrichment = enrichment; } public int getOccurrenceThreshold() { return occurrenceThreshold; } public Set getSampleIds() { return Collections.unmodifiableSet(sampleIds); } public boolean isEnrichment() { return enrichment; } /** * {@inheritDoc} */ @Override public boolean pass(JointClonotype jointClonotype) { int detectionCounter = 0; for (int i = 0; i < jointClonotype.getParent().getNumberOfSamples(); i++) { if (sampleIds.contains(jointClonotype.getParent().getSample(i).getSampleMetadata().getSampleId()) && jointClonotype.present(i) && ++detectionCounter == occurrenceThreshold) return enrichment; } return !enrichment; } } src/main/java/com/antigenomics/vdjtools/join/SampleSpecificJoinFilter.java000644 001750 001750 00000004327 13525023773 034272 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.join; /** * Filter that retains all clonotypes detected in the specified sample. */ public class SampleSpecificJoinFilter implements JoinFilter { private final int sampleIndex; public SampleSpecificJoinFilter() { this(0); } /** * Creates a filter that retains all joint clonotypes detected in a specified sample. * * @param sampleIndex sample index. */ public SampleSpecificJoinFilter(int sampleIndex) { this.sampleIndex = sampleIndex; } public int getSampleIndex() { return sampleIndex; } /** * {@inheritDoc} */ @Override public boolean pass(JointClonotype jointClonotype) { return jointClonotype.present(sampleIndex); } } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/join/key/000755 001750 001750 00000000000 13525023773 027413 5ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/join/key/AaKey.java000644 001750 001750 00000003671 13525023773 031257 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.join.key; import com.antigenomics.vdjtools.sample.Clonotype; /** * {@inheritDoc} */ public final class AaKey extends ClonotypeKey { public AaKey(Clonotype clonotype) { super(clonotype); } @Override public boolean equals(Clonotype other) { return clonotype.getCdr3aaBinary().equals(other.getCdr3aaBinary()); } @Override public int hashCode() { return clonotype.getCdr3aaBinary().hashCode(); } }vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/join/key/ClonotypeKey.java000644 001750 001750 00000004270 13525023773 032706 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.join.key; import com.antigenomics.vdjtools.sample.Clonotype; /** * A clonotype key, which implements {@link #equals} and {@link #hashCode} * according to specified {@link com.antigenomics.vdjtools.overlap.OverlapType}. * {@see com.antigenomics.vdjtools.join.key.ClonotypeKey} */ public abstract class ClonotypeKey { protected final Clonotype clonotype; public ClonotypeKey(Clonotype clonotype) { this.clonotype = clonotype; } abstract boolean equals(Clonotype other); @Override public abstract int hashCode(); @Override public boolean equals(Object o) { // no it shouldn't return o != null && this.equals(((ClonotypeKey) o).clonotype); } } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/join/key/AaVKey.java000644 001750 001750 00000004053 13525023773 031400 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.join.key; import com.antigenomics.vdjtools.sample.Clonotype; /** * {@inheritDoc} */ public final class AaVKey extends ClonotypeKey { public AaVKey(Clonotype clonotype) { super(clonotype); } @Override public boolean equals(Clonotype other) { return clonotype.getCdr3aaBinary().equals(other.getCdr3aaBinary()) && clonotype.getVBinary().equals(other.getVBinary()); } @Override public int hashCode() { return clonotype.getCdr3aaBinary().hashCode() * 31 + clonotype.getVBinary().hashCode(); } } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/join/key/NtVKey.java000644 001750 001750 00000004051 13525023773 031436 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.join.key; import com.antigenomics.vdjtools.sample.Clonotype; /** * {@inheritDoc} */ public final class NtVKey extends ClonotypeKey { public NtVKey(Clonotype clonotype) { super(clonotype); } @Override public boolean equals(Clonotype other) { return clonotype.getCdr3ntBinary().equals(other.getCdr3ntBinary()) && clonotype.getVBinary().equals(other.getVBinary()); } @Override public int hashCode() { return clonotype.getCdr3ntBinary().hashCode() * 31 + clonotype.getVBinary().hashCode(); } }vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/join/key/StrictKey.java000644 001750 001750 00000004260 13525023773 032201 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.join.key; import com.antigenomics.vdjtools.sample.Clonotype; /** * {@inheritDoc} */ public final class StrictKey extends ClonotypeKey { public StrictKey(Clonotype clonotype) { super(clonotype); } @Override public boolean equals(Clonotype other) { return clonotype.getCdr3ntBinary().equals(other.getCdr3ntBinary()) && clonotype.getVBinary().equals(other.getVBinary()) && clonotype.getJBinary().equals(other.getJBinary()); } @Override public int hashCode() { return 31 * (clonotype.getCdr3ntBinary().hashCode() * 31 + clonotype.getVBinary().hashCode()) + clonotype.getJBinary().hashCode(); } } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/join/key/NtVJKey.java000644 001750 001750 00000004246 13525023773 031556 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.join.key; import com.antigenomics.vdjtools.sample.Clonotype; /** * {@inheritDoc} */ public class NtVJKey extends ClonotypeKey { public NtVJKey(Clonotype clonotype) { super(clonotype); } @Override public boolean equals(Clonotype other) { return clonotype.getCdr3ntBinary().equals(other.getCdr3ntBinary()) && clonotype.getVBinary().equals(other.getVBinary()) && clonotype.getJBinary().equals(other.getJBinary()); } @Override public int hashCode() { return 31 * (clonotype.getCdr3ntBinary().hashCode() * 31 + clonotype.getVBinary().hashCode()) + clonotype.getJBinary().hashCode(); } } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/join/key/NtKey.java000644 001750 001750 00000003673 13525023773 031321 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.join.key; import com.antigenomics.vdjtools.sample.Clonotype; /** * {@inheritDoc} */ public final class NtKey extends ClonotypeKey { public NtKey(Clonotype clonotype) { super(clonotype); } @Override public boolean equals(Clonotype other) { return clonotype.getCdr3ntBinary().equals(other.getCdr3ntBinary()); } @Override public int hashCode() { return clonotype.getCdr3ntBinary().hashCode(); } } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/join/key/AaNotNtKey.java000644 001750 001750 00000004024 13525023773 032233 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.join.key; import com.antigenomics.vdjtools.sample.Clonotype; /** * {@inheritDoc} */ public final class AaNotNtKey extends ClonotypeKey { public AaNotNtKey(Clonotype clonotype) { super(clonotype); } @Override public boolean equals(Clonotype other) { return clonotype.getCdr3aaBinary().equals(other.getCdr3aaBinary()) && !clonotype.getCdr3ntBinary().equals(other.getCdr3ntBinary()); } @Override public int hashCode() { return clonotype.getCdr3aaBinary().hashCode(); } } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/join/key/AaVJKey.java000644 001750 001750 00000004254 13525023773 031515 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.join.key; import com.antigenomics.vdjtools.sample.Clonotype; /** * {@inheritDoc} */ public final class AaVJKey extends ClonotypeKey { public AaVJKey(Clonotype clonotype) { super(clonotype); } @Override public boolean equals(Clonotype other) { return clonotype.getCdr3aaBinary().equals(other.getCdr3aaBinary()) && clonotype.getVBinary().equals(other.getVBinary()) && clonotype.getJBinary().equals(other.getJBinary()); } @Override public int hashCode() { return 31 * (clonotype.getCdr3aaBinary().hashCode() * 31 + clonotype.getVBinary().hashCode()) + clonotype.getJBinary().hashCode(); } } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/join/JoinFilter.java000644 001750 001750 00000003631 13525023773 031536 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.join; /** * A filter for joint clonotypes. Such filters can be used to ensure certain number of occurrences, etc. */ public interface JoinFilter { /** * Checks whether a given joint clonotype passes the filter. * * @param jointClonotype a joint clonotype to check. * @return true if clonotype should be retained, false otherwise. */ public boolean pass(JointClonotype jointClonotype); } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/join/JointClonotype.java000644 001750 001750 00000023603 13525023773 032452 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.join; import com.antigenomics.vdjtools.ClonotypeWrapper; import com.antigenomics.vdjtools.join.key.ClonotypeKey; import com.antigenomics.vdjtools.misc.MathUtil; import com.antigenomics.vdjtools.sample.Clonotype; import java.util.ArrayList; import java.util.HashSet; import java.util.List; import java.util.Set; /** * A joint clonotype, including all convergent variants (up to clonotype matching rule, {@link com.antigenomics.vdjtools.overlap.OverlapType}) * and all occurrences of the specified clonotype in joined samples. Convergent variants are hereafter termed "variants" for simplicity. */ public class JointClonotype implements Comparable, ClonotypeWrapper { private final JointSample parent; private final List[] variantsBySample; private final int[] counts; private int peak = -1, occurrences = -1; private Clonotype representative = null; private double meanFreq = -1; protected double samplingPValue = 1; private JointClonotype(JointSample parent, List[] variantsBySample, int[] counts, int peak, Clonotype representative, double meanFreq) { this.parent = parent; this.variantsBySample = variantsBySample; this.counts = counts; this.peak = peak; this.representative = representative; this.meanFreq = meanFreq; } /** * Creates an empty joint clonotype. * * @param parent parent joint sample. */ public JointClonotype(JointSample parent) { this.parent = parent; this.variantsBySample = new List[parent.getNumberOfSamples()]; this.counts = new int[parent.getNumberOfSamples()]; } /** * Adds a given clonotype variant to the joint sample. * * @param variant clonotype variant. * @param sampleIndex index of the sample where the specified clonotype variant was detected. */ @SuppressWarnings("unchecked") void addVariant(Clonotype variant, int sampleIndex) { List variants = variantsBySample[sampleIndex]; if (variants == null) variantsBySample[sampleIndex] = (variants = new ArrayList<>()); variants.add(variant); counts[sampleIndex] += variant.getCount(); } /** * Gets parent joint sample. * * @return joint sample this joint clonotype belongs to. */ @Override public JointSample getParent() { return parent; } public int getPeak() { if (peak < 0) { int peakCount = -1; for (int i = 0; i < counts.length; i++) { if (counts[i] > peakCount) { peak = i; peakCount = counts[i]; } } } return parent.getIndex(peak); } /** * Gets the number of occurrences of this clonotype. The count is not weighted by the number convergent variants. * * @return number of samples this clonotype was detected in. */ public int getOccurrences() { if (occurrences < 0) { occurrences = 0; for (int i = 0; i < counts.length; i++) { if (present(i)) occurrences++; } } return occurrences; } /** * EXPERIMENTAL Gets the probability that the variance of joint clonotype abundance can * be explained by sampling stochastics. * * @return p-value for clonotype abundance variance. */ public double getSamplingPValue() { return samplingPValue; } /** * {@inheritDoc} */ @Override public Clonotype getClonotype() { if (representative == null) { int max = 0; getPeak(); for (Object o : variantsBySample[peak]) { Clonotype clonotype = (Clonotype) o; if (clonotype.getCount() > max) { max = (int) clonotype.getCount(); representative = clonotype; } } } return representative; } /** * Gets the number of variants associated with a given clonotype in specified sample. * * @param sampleIndex sample index. * @return number of variants associated with the clonotype. */ public int getNumberOfVariants(int sampleIndex) { return variantsBySample[parent.getIndex(sampleIndex)].size(); } /** * Gets the number reads associated with the clonotype and all its variants in the specified sample. * * @param sampleIndex sample index. * @return number of reads associated with the clonotypes and all its variants in a given sample. */ public int getCount(int sampleIndex) { return counts[parent.getIndex(sampleIndex)]; } /** * Gets the clonotype frequency in a given sample, all variants are accounted. * * @param sampleIndex sample index. * @return frequency of clonotype and all its variants in a given sample. */ public double getFreq(int sampleIndex) { return getCount(sampleIndex) / (double) parent.getCount(sampleIndex); } /** * Gets clonotype frequency at a given sample relative to the total frequency of overlapping * (i.e. all that passed {@link com.antigenomics.vdjtools.join.JoinFilter}) clonotypes in the specified sample. * * @param sampleIndex sample index. * @return frequency of clonotype and all its variants among all overlapping clonotypes in a given sample. */ public double getFreqWithinIntersection(int sampleIndex) { return getFreq(sampleIndex) / parent.getIntersectionFreq(sampleIndex); } /** * Gets a representative (geometric mean) frequency of a given joint clonotype. * * @return non-normalized joint clonotype frequency. */ public double getBaseFreq() { if (meanFreq < 0) { meanFreq = 1; for (int i = 0; i < parent.getNumberOfSamples(); i++) { meanFreq *= (getFreq(i) + MathUtil.JITTER); } meanFreq = Math.pow(meanFreq, 1.0 / (double) parent.getNumberOfSamples()); } return meanFreq; } /** * Gets a representative (geometric mean) frequency of a given joint clonotype. * The frequency is normalized so that the total mean frequency will sum to 1.0 in JointSample, * thus allowing to use it during sample output. * * @return normalized joint clonotype frequency. */ @Override public double getFreq() { return parent.calcFreq(getBaseFreq()); } /** * {@inheritDoc} */ @Override public double getFreqAsInInput() { return getFreq(); } /** * Gets the total number of clonotype variants associated with a given clonotype in all joined samples, * accounting for specified clonotype matching rule. * * @return total number of clonotype variants. */ @Override @SuppressWarnings("unchecked") public int getDiversity() { Set variantKeys = new HashSet<>(); ClonotypeKeyGen clonotypeKeyGen = new ClonotypeKeyGen(parent.getOverlapType()); for (List variantList : variantsBySample) { for (Object variant : variantList) { variantKeys.add(clonotypeKeyGen.generateKey((Clonotype) variant)); } } return variantKeys.size(); } /** * Gets a representative count of a given joint clonotype, which is proportional to representative * (geometric mean) frequency. The count is scaled so it is equal to 1 for the smallest JointClonotype, * thus allowing to use it during sample output. * * @return normalized joint clonotype count. */ @Override public long getCount() { return parent.calcCount(getBaseFreq()); } /** * Checks whether the clonotype was detected in a given sample (even with at least one read). * * @param sampleIndex sample index. * @return true if the clonotype was detected in a given sample, false otherwise. */ public boolean present(int sampleIndex) { return counts[parent.getIndex(sampleIndex)] > 0; } JointClonotype changeParent(JointSample newParent) { return new JointClonotype(newParent, variantsBySample, counts, peak, representative, meanFreq); } @Override public int compareTo(JointClonotype o) { return Double.compare(o.getBaseFreq(), this.getBaseFreq()); } } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/join/OccurrenceJoinFilter.java000644 001750 001750 00000005212 13525023773 033544 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.join; /** * Filters joint clonotypes according to the number of samples they were detected. */ public class OccurrenceJoinFilter implements JoinFilter { private final int occurrenceThreshold; /** * Creates a filter that retains all joint clonotypes detected two or more times. */ public OccurrenceJoinFilter() { this(2); } /** * Creates a filter that retains all joint clonotypes detected the specified number of times or more. * * @param occurrenceThreshold threshold for the number of samples this clonotype was detected (inclusive). */ public OccurrenceJoinFilter(int occurrenceThreshold) { this.occurrenceThreshold = occurrenceThreshold; } public int getOccurrenceThreshold() { return occurrenceThreshold; } /** * {@inheritDoc} */ @Override public boolean pass(JointClonotype jointClonotype) { int detectionCounter = 0; for (int i = 0; i < jointClonotype.getParent().getNumberOfSamples(); i++) { if (jointClonotype.present(i) && ++detectionCounter == occurrenceThreshold) return true; } return false; } } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/join/ClonotypeKeyGen.java000644 001750 001750 00000010600 13525023773 032542 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.join; import com.antigenomics.vdjtools.ClonotypeWrapper; import com.antigenomics.vdjtools.ClonotypeWrapperContainer; import com.antigenomics.vdjtools.join.key.*; import com.antigenomics.vdjtools.overlap.OverlapType; import com.antigenomics.vdjtools.sample.Clonotype; import java.util.HashSet; import java.util.Set; /** * Clonotype key generator implementing a certain clonotype matching rule. */ public class ClonotypeKeyGen { private final OverlapType overlapType; /** * Creates a clonotype key generator with {@link OverlapType#Strict} clonotype matching rule. */ public ClonotypeKeyGen() { this(OverlapType.Strict); } /** * Creates a clonotype key generator for a specified clonotype matching rule. * * @param overlapType clonotype matching rule. */ public ClonotypeKeyGen(OverlapType overlapType) { this.overlapType = overlapType; } /** * Generates keys for all clonotypes in a given sample. * * @param clonotypeWrapperContainer a sample. * @return a set of clonotype keys. */ public Set generateKeySet(ClonotypeWrapperContainer clonotypeWrapperContainer) { Set keySet = new HashSet<>(); for (ClonotypeWrapper clonotypeWrapper : clonotypeWrapperContainer) { keySet.add(generateKey(clonotypeWrapper)); } return keySet; } /** * Generates a key for a given clonotype wrapper under specified matching rule. * * @param clonotypeWrapper a clonotype wrapper. * @return clonotype key. */ public ClonotypeKey generateKey(ClonotypeWrapper clonotypeWrapper) { return generateKey(clonotypeWrapper.getClonotype()); } /** * Generates a key for a given clonotype under specified matching rule. * * @param clonotype a clonotype. * @return clonotype key. */ public ClonotypeKey generateKey(Clonotype clonotype) { switch (overlapType) { case Nucleotide: return new NtKey(clonotype); case NucleotideV: return new NtVKey(clonotype); case NucleotideVJ: return new NtVJKey(clonotype); case AminoAcid: return new AaKey(clonotype); case AminoAcidV: return new AaVKey(clonotype); case AminoAcidVJ: return new AaVJKey(clonotype); case AminoAcidNonNucleotide: return new AaNotNtKey(clonotype); case Strict: return new StrictKey(clonotype); default: throw new UnsupportedOperationException(); } } /** * Gets the clonotype matching rule for this key generator. * * @return clonotype matching rule. */ public OverlapType getOverlapType() { return overlapType; } } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/graph/000755 001750 001750 00000000000 13525023773 026765 5ustar00moellermoeller000000 000000 src/main/java/com/antigenomics/vdjtools/graph/ClonotypeGroupingFactory.java000644 001750 001750 00000000276 13525023773 034575 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311package com.antigenomics.vdjtools.graph; import com.antigenomics.vdjtools.sample.Clonotype; public interface ClonotypeGroupingFactory { ClonotypeGroup getGroup(Clonotype clonotype); } src/main/java/com/antigenomics/vdjtools/graph/VJClonotypeGroupingFactory.java000644 001750 001750 00000000521 13525023773 035026 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311package com.antigenomics.vdjtools.graph; import com.antigenomics.vdjtools.sample.Clonotype; public class VJClonotypeGroupingFactory implements ClonotypeGroupingFactory { @Override public ClonotypeGroup getGroup(Clonotype clonotype) { return new VJClonotypeGroup(clonotype.getVBinary(), clonotype.getJBinary()); } } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/graph/VJClonotypeGroup.java000644 001750 001750 00000001503 13525023773 033060 0ustar00moellermoeller000000 000000 package com.antigenomics.vdjtools.graph; import com.antigenomics.vdjtools.misc.Segment; public class VJClonotypeGroup implements ClonotypeGroup { private final Segment v, j; public VJClonotypeGroup(Segment v, Segment j) { this.v = v; this.j = j; } public Segment getV() { return v; } public Segment getJ() { return j; } @Override public boolean equals(Object o) { if (this == o) return true; if (o == null || getClass() != o.getClass()) return false; VJClonotypeGroup that = (VJClonotypeGroup) o; if (!v.equals(that.v)) return false; return j.equals(that.j); } @Override public int hashCode() { int result = v.hashCode(); result = 31 * result + j.hashCode(); return result; } } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/graph/GroupingSummary.java000644 001750 001750 00000001102 13525023773 032772 0ustar00moellermoeller000000 000000 package com.antigenomics.vdjtools.graph; import java.util.Map; import java.util.concurrent.ConcurrentHashMap; import java.util.concurrent.atomic.AtomicLong; public class GroupingSummary { private final Map counters = new ConcurrentHashMap<>(); public void update(ClonotypeGroup clonotypeGroup) { counters.computeIfAbsent(clonotypeGroup, k -> new AtomicLong()).incrementAndGet(); } public long getCount(ClonotypeGroup clonotypeGroup) { return counters.getOrDefault(clonotypeGroup, new AtomicLong()).get(); } } src/main/java/com/antigenomics/vdjtools/graph/VJLClonotypeGroupingFactory.java000644 001750 001750 00000000556 13525023773 035152 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311package com.antigenomics.vdjtools.graph; import com.antigenomics.vdjtools.sample.Clonotype; public class VJLClonotypeGroupingFactory implements ClonotypeGroupingFactory { @Override public ClonotypeGroup getGroup(Clonotype clonotype) { return new VJLClonotypeGroup(clonotype.getVBinary(), clonotype.getJBinary(), clonotype.getCdr3Length()); } } src/main/java/com/antigenomics/vdjtools/graph/VClonotypeGroupingFactory.java000644 001750 001750 00000000467 13525023773 034725 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311package com.antigenomics.vdjtools.graph; import com.antigenomics.vdjtools.sample.Clonotype; public class VClonotypeGroupingFactory implements ClonotypeGroupingFactory { @Override public ClonotypeGroup getGroup(Clonotype clonotype) { return new VClonotypeGroup(clonotype.getVBinary()); } } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/graph/ClonotypeGroup.java000644 001750 001750 00000000116 13525023773 032617 0ustar00moellermoeller000000 000000 package com.antigenomics.vdjtools.graph; public interface ClonotypeGroup { } src/main/java/com/antigenomics/vdjtools/graph/DegreeStatisticsCalculator.java000644 001750 001750 00000011363 13525023773 035035 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311package com.antigenomics.vdjtools.graph; import com.antigenomics.vdjtools.ClonotypeWrapper; import com.antigenomics.vdjtools.ClonotypeWrapperContainer; import com.antigenomics.vdjtools.sample.Clonotype; import com.milaboratory.core.sequence.AminoAcidSequence; import com.milaboratory.core.tree.NeighborhoodIterator; import com.milaboratory.core.tree.SequenceTreeMap; import java.util.*; import java.util.concurrent.ConcurrentHashMap; import java.util.concurrent.ConcurrentLinkedQueue; import java.util.stream.StreamSupport; public class DegreeStatisticsCalculator { private final ClonotypeGroupingFactory primaryClonotypeGroupingFactory, secondaryClonotypeGroupingFactory; private final GroupingSummary primaryGroupingSummary = new GroupingSummary(), secondaryGroupingSummary = new GroupingSummary(); private final SequenceTreeMap> stm = new SequenceTreeMap<>(AminoAcidSequence.ALPHABET); private final int substitutionThreshold, indelThreshold, totalMismatchThreshold; public DegreeStatisticsCalculator(int substitutionThreshold, int indelThreshold, int totalMismatchThreshold, ClonotypeGroupingFactory primaryClonotypeGroupingFactory) { this(substitutionThreshold, indelThreshold, totalMismatchThreshold, primaryClonotypeGroupingFactory, DummyClonotypeGroupingFactory.INSTANCE); } public DegreeStatisticsCalculator(int substitutionThreshold, int indelThreshold, int totalMismatchThreshold, ClonotypeGroupingFactory primaryClonotypeGroupingFactory, ClonotypeGroupingFactory secondaryClonotypeGroupingFactory) { this.substitutionThreshold = substitutionThreshold; this.indelThreshold = indelThreshold; this.totalMismatchThreshold = totalMismatchThreshold; this.primaryClonotypeGroupingFactory = primaryClonotypeGroupingFactory; this.secondaryClonotypeGroupingFactory = secondaryClonotypeGroupingFactory; } public void inititalize(ClonotypeWrapperContainer clonotypes) { final Map> clonotypeMap = new ConcurrentHashMap<>(); Spliterator spliterator = Spliterators.spliterator(clonotypes.iterator(), clonotypes.getDiversity(), Spliterator.IMMUTABLE | Spliterator.SIZED); StreamSupport .stream(spliterator, true) .forEach(cw -> { Clonotype clonotype = cw.getClonotype(); if (clonotype.isCoding()) { clonotypeMap.computeIfAbsent(clonotype.getCdr3aaBinary(), k -> new ConcurrentLinkedQueue<>()).add(clonotype); primaryGroupingSummary.update(primaryClonotypeGroupingFactory.getGroup(clonotype)); // thread safe secondaryGroupingSummary.update(secondaryClonotypeGroupingFactory.getGroup(clonotype)); } }); for (Map.Entry> entry : clonotypeMap.entrySet()) { stm.put(entry.getKey(), entry.getValue()); } } public DegreeStatistics compute(Clonotype clonotype) { if (!clonotype.isCoding()) { return DegreeStatistics.UNDEF; } Set clonotypeSet = new HashSet<>(); ClonotypeGroup primaryClonotypeGroup = primaryClonotypeGroupingFactory.getGroup(clonotype), secondaryClonotypeGroup = secondaryClonotypeGroupingFactory.getGroup(clonotype); NeighborhoodIterator> ni = stm.getNeighborhoodIterator(clonotype.getCdr3aaBinary(), substitutionThreshold, indelThreshold, indelThreshold, totalMismatchThreshold); Queue matchList; while ((matchList = ni.next()) != null) { // explicit check for indel sum threshold as insertions and deletions are counted separately if (ni.getCurrentMutations().countOfIndels() <= indelThreshold) { for (Clonotype match : matchList) { if (primaryClonotypeGroup.equals(primaryClonotypeGroupingFactory.getGroup(match))) { // same group, e.g. VJ length clonotypeSet.add(match); } } } } return new DegreeStatistics(clonotypeSet.size(), primaryGroupingSummary.getCount(primaryClonotypeGroup), secondaryGroupingSummary.getCount(secondaryClonotypeGroup)); } } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/graph/DummyClonotypeGroup.java000644 001750 001750 00000000347 13525023773 033641 0ustar00moellermoeller000000 000000 package com.antigenomics.vdjtools.graph; public class DummyClonotypeGroup implements ClonotypeGroup { public static final DummyClonotypeGroup INSTANCE = new DummyClonotypeGroup(); private DummyClonotypeGroup() { } } src/main/java/com/antigenomics/vdjtools/graph/DummyClonotypeGroupingFactory.java000644 001750 001750 00000000711 13525023773 035603 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311package com.antigenomics.vdjtools.graph; import com.antigenomics.vdjtools.sample.Clonotype; public class DummyClonotypeGroupingFactory implements ClonotypeGroupingFactory { public static final DummyClonotypeGroupingFactory INSTANCE = new DummyClonotypeGroupingFactory(); private DummyClonotypeGroupingFactory() { } @Override public ClonotypeGroup getGroup(Clonotype clonotype) { return DummyClonotypeGroup.INSTANCE; } } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/graph/VJLClonotypeGroup.java000644 001750 001750 00000001456 13525023773 033203 0ustar00moellermoeller000000 000000 package com.antigenomics.vdjtools.graph; import com.antigenomics.vdjtools.misc.Segment; public class VJLClonotypeGroup extends VJClonotypeGroup { private final int length; public VJLClonotypeGroup(Segment v, Segment j, int length) { super(v, j); this.length = length; } public int getLength() { return length; } @Override public boolean equals(Object o) { if (this == o) return true; if (o == null || getClass() != o.getClass()) return false; if (!super.equals(o)) return false; VJLClonotypeGroup that = (VJLClonotypeGroup) o; return length == that.length; } @Override public int hashCode() { int result = super.hashCode(); result = 31 * result + length; return result; } } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/graph/DegreeStatistics.java000644 001750 001750 00000001520 13525023773 033074 0ustar00moellermoeller000000 000000 package com.antigenomics.vdjtools.graph; public class DegreeStatistics { private final int degree; private final long primaryGroupCount, secondaryGroupCount; public static final DegreeStatistics UNDEF = new DegreeStatistics(-1, -1, -1); public DegreeStatistics(int degree, long primaryGroupCount, long secondaryGroupCount) { this.degree = degree; this.primaryGroupCount = primaryGroupCount; this.secondaryGroupCount = secondaryGroupCount; } public int getDegree() { return degree; } public long getPrimaryGroupCount() { return primaryGroupCount; } public long getSecondaryGroupCount() { return secondaryGroupCount; } @Override public String toString() { return degree + "\t" + primaryGroupCount + "\t" + secondaryGroupCount; } } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/graph/VClonotypeGroup.java000644 001750 001750 00000001161 13525023773 032746 0ustar00moellermoeller000000 000000 package com.antigenomics.vdjtools.graph; import com.antigenomics.vdjtools.misc.Segment; public class VClonotypeGroup implements ClonotypeGroup { private final Segment v; public VClonotypeGroup(Segment v) { this.v = v; } public Segment getV() { return v; } @Override public boolean equals(Object o) { if (this == o) return true; if (o == null || getClass() != o.getClass()) return false; VClonotypeGroup that = (VClonotypeGroup) o; return v.equals(that.v); } @Override public int hashCode() { return v.hashCode(); } } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/annotate/000755 001750 001750 00000000000 13525023773 027475 5ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/annotate/Cdr3ContactEstimate.java000644 001750 001750 00000007324 13525023773 034151 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.annotate; import com.antigenomics.vdjtools.sample.Clonotype; import com.milaboratory.core.sequence.AminoAcidSequence; public class Cdr3ContactEstimate extends AaProperty { private final float[][] contactProbsTRA, contactProbsTRB; private final int l; public Cdr3ContactEstimate(float[][] contactProbsTRA, float[][] contactProbsTRB) { this.contactProbsTRA = contactProbsTRA; this.contactProbsTRB = contactProbsTRB; if (contactProbsTRA.length != AminoAcidSequence.ALPHABET.size()) { throw new IllegalArgumentException("Number of rows of contactProbs TRA " + "be equal to AminoAcidSequence.ALPHABET size."); } if (contactProbsTRB.length != AminoAcidSequence.ALPHABET.size()) { throw new IllegalArgumentException("Number of rows of contactProbs TRB " + "be equal to AminoAcidSequence.ALPHABET size."); } l = contactProbsTRA[0].length; for (int i = 1; i < contactProbsTRA.length; i++) { if (contactProbsTRA[i].length != l) { throw new IllegalArgumentException("Number of columns of " + "contactProbs TRA should be the same for all amino acids"); } } for (int i = 0; i < contactProbsTRB.length; i++) { if (contactProbsTRB[i].length != l) { throw new IllegalArgumentException("Number of columns of " + "contactProbs TRB should be the same for all amino acids"); } } } @Override public String getName() { return "cdr3contact"; } @Override public float compute(AminoAcidSequence sequence, int pos) { return Float.NaN; } @Override public float compute(Clonotype clonotype, int pos) { AminoAcidSequence sequence = clonotype.getCdr3aaBinary(); byte aa = sequence.codeAt(pos); int posBin = (int) ((l - 1) * (pos / (float) (sequence.size() - 1))); switch (clonotype.getVBinary().getChain()) { case TRA: return contactProbsTRA[aa][posBin]; case TRB: return contactProbsTRB[aa][posBin]; } return compute(sequence, pos); } } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/annotate/SimpleAaProperty.java000644 001750 001750 00000004365 13525023773 033610 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.annotate; import com.milaboratory.core.sequence.AminoAcidSequence; public class SimpleAaProperty extends AaProperty { private final String name; private final float[] values; public SimpleAaProperty(String name, float[] values) { this.name = name; this.values = values; if (values.length != AminoAcidSequence.ALPHABET.size()) { throw new IllegalArgumentException("Value array size should be equal to AminoAcidSequence.ALPHABET size."); } } @Override public String getName() { return name; } public float[] getValues() { return values; } @Override public float compute(AminoAcidSequence sequence, int pos) { return values[sequence.codeAt(pos)]; } } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/annotate/AaPropertySummary.java000644 001750 001750 00000003762 13525023773 034014 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.annotate; public class AaPropertySummary { private final float mean, median, q25, q75; public AaPropertySummary(float mean, float median, float q25, float q75) { this.mean = mean; this.median = median; this.q25 = q25; this.q75 = q75; } public float getMean() { return mean; } public float getMedian() { return median; } public float getQ25() { return q25; } public float getQ75() { return q75; } } src/main/java/com/antigenomics/vdjtools/annotate/AaPropertySummaryEvaluator.java000644 001750 001750 00000011175 13525023773 035615 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.annotate; import com.antigenomics.vdjtools.annotate.partitioning.FullCdr3; import com.antigenomics.vdjtools.annotate.partitioning.SequenceRegion; import com.antigenomics.vdjtools.preprocess.DownSampler; import com.antigenomics.vdjtools.sample.Clonotype; import com.antigenomics.vdjtools.sample.Sample; import com.milaboratory.core.sequence.AminoAcidSequence; import org.apache.commons.math3.stat.descriptive.rank.Percentile; import java.util.*; public class AaPropertySummaryEvaluator { private final AaProperty aaProperty; private final SequenceRegion sequenceRegion; private final boolean averageByLength; private final boolean weightByFrequency; public AaPropertySummaryEvaluator(AaProperty aaProperty, SequenceRegion sequenceRegion, boolean averageByLength, boolean weightByFrequency) { this.aaProperty = aaProperty; this.sequenceRegion = sequenceRegion; this.averageByLength = averageByLength; this.weightByFrequency = weightByFrequency; if (aaProperty instanceof Cdr3ContactEstimate && !(sequenceRegion instanceof FullCdr3)) { throw new IllegalArgumentException("Cdr3ContactEstimate property can only be used " + "with FullCdr3 sequence region."); } } public float compute(Clonotype clonotype) { if (!clonotype.isCoding()) { throw new IllegalArgumentException("Cannot compute amino acid properties for non-coding clonotypes."); } AminoAcidSequence aaSeq = sequenceRegion.extractAminoAcid(clonotype); float value = 0; for (int i = 0; i < aaSeq.size(); i++) { value += aaProperty.compute(aaSeq, i); } if (averageByLength) { value /= aaSeq.size(); } return value; } public AaPropertySummary compute(Sample sample) { double[] values; float sum = 0; int k = 0; if (weightByFrequency) { if (sample.getCount() > 1000000L) { DownSampler ds = new DownSampler(sample); sample = ds.reSample(1000000); } values = new double[(int) sample.getCount()]; for (Clonotype clonotype : sample) { if (clonotype.isCoding()) { float value = compute(clonotype); for (int i = 0; i < clonotype.getCount(); i++) { values[k++] = value; sum += value; } } } } else { values = new double[(int) sample.getCount()]; for (Clonotype clonotype : sample) { if (clonotype.isCoding()) { float value = compute(clonotype); values[k++] = value; sum += value; } } } Percentile percentile = new Percentile(); percentile.setData(values, 0, k); return new AaPropertySummary(sum / k, (float) percentile.evaluate(50), (float) percentile.evaluate(25), (float) percentile.evaluate(75)); } } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/annotate/partitioning/000755 001750 001750 00000000000 13525023773 032204 5ustar00moellermoeller000000 000000 src/main/java/com/antigenomics/vdjtools/annotate/partitioning/Cdr3Region.java000644 001750 001750 00000005625 13525023773 034737 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.annotate.partitioning; import com.antigenomics.vdjtools.sample.Clonotype; import com.milaboratory.core.Range; import com.milaboratory.core.sequence.AminoAcidSequence; import com.milaboratory.core.sequence.NucleotideSequence; import com.milaboratory.util.Bit2Array; public abstract class Cdr3Region implements SequenceRegion { private static final Range EMPTY = new Range(0, 0); protected abstract Range getRange(Clonotype clonotype); private Range safeGetRange(Clonotype clonotype) { Range range = getRange(clonotype); return (range.getFrom() >= range.getTo() || range.getFrom() < 0 || range.getTo() < 0) ? EMPTY : range; } @Override public AminoAcidSequence extractAminoAcid(Clonotype clonotype) { Range range = safeGetRange(clonotype); // convert to amino acids, // full codon belongs to a given region if at least one base of it belongs to it int from = range.getFrom() / 3, to = range.getTo() / 3; if (from >= to) { return new AminoAcidSequence(new byte[0]); } return clonotype.getCdr3aaBinary().getRange(new Range(from, to)); } @Override public NucleotideSequence extractNucleotide(Clonotype clonotype) { Range range = safeGetRange(clonotype); if (range == EMPTY) { return new NucleotideSequence(""); } return clonotype.getCdr3ntBinary().getRange(range); } } src/main/java/com/antigenomics/vdjtools/annotate/partitioning/DGermline.java000644 001750 001750 00000003557 13525023773 034650 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.annotate.partitioning; import com.antigenomics.vdjtools.sample.Clonotype; import com.milaboratory.core.Range; public class DGermline extends Cdr3Region { @Override protected Range getRange(Clonotype clonotype) { return new Range(clonotype.getDStart(), clonotype.getDEnd() + 1); } @Override public String getName() { return "D-germ"; } } src/main/java/com/antigenomics/vdjtools/annotate/partitioning/Cdr3Center.java000644 001750 001750 00000004541 13525023773 034730 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.annotate.partitioning; import com.antigenomics.vdjtools.sample.Clonotype; import com.milaboratory.core.Range; public class Cdr3Center extends Cdr3Region { private final int span; public static final Cdr3Center CDR3_CENTER_5 = new Cdr3Center(2), // extracts -2,-1,0,+1,+2 amino acids CDR3_CENTER_3 = new Cdr3Center(1); // extracts -1,0,+1 amino acids public Cdr3Center(int span) { this.span = span; } @Override protected Range getRange(Clonotype clonotype) { int cdr3CenterAA = clonotype.getCdr3Length() / 6; return new Range(Math.max(0, 3 * (cdr3CenterAA - span)), Math.min(clonotype.getCdr3Length(), 3 * (cdr3CenterAA + span + 1))); } public int getSpan() { return span; } @Override public String getName() { return "CDR3-center-" + (span * 2 + 1); } } src/main/java/com/antigenomics/vdjtools/annotate/partitioning/JGermline.java000644 001750 001750 00000003560 13525023773 034650 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.annotate.partitioning; import com.antigenomics.vdjtools.sample.Clonotype; import com.milaboratory.core.Range; public class JGermline extends Cdr3Region { @Override protected Range getRange(Clonotype clonotype) { return new Range(clonotype.getJStart(), clonotype.getCdr3Length()); } @Override public String getName() { return "J-germ"; } } src/main/java/com/antigenomics/vdjtools/annotate/partitioning/FullCdr3.java000644 001750 001750 00000004344 13525023773 034413 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.annotate.partitioning; import com.antigenomics.vdjtools.sample.Clonotype; import com.milaboratory.core.Range; import com.milaboratory.core.sequence.AminoAcidSequence; import com.milaboratory.core.sequence.NucleotideSequence; public class FullCdr3 extends Cdr3Region { @Override public String getName() { return "CDR3-full"; } @Override protected Range getRange(Clonotype clonotype) { return new Range(0, clonotype.getCdr3nt().length()); } @Override public AminoAcidSequence extractAminoAcid(Clonotype clonotype) { return clonotype.getCdr3aaBinary(); } @Override public NucleotideSequence extractNucleotide(Clonotype clonotype) { return clonotype.getCdr3ntBinary(); } } src/main/java/com/antigenomics/vdjtools/annotate/partitioning/SequenceRegion.java000644 001750 001750 00000003551 13525023773 035710 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.annotate.partitioning; import com.antigenomics.vdjtools.sample.Clonotype; import com.milaboratory.core.sequence.AminoAcidSequence; import com.milaboratory.core.sequence.NucleotideSequence; public interface SequenceRegion { String getName(); AminoAcidSequence extractAminoAcid(Clonotype clonotype); NucleotideSequence extractNucleotide(Clonotype clonotype); } src/main/java/com/antigenomics/vdjtools/annotate/partitioning/VJJunction.java000644 001750 001750 00000003560 13525023773 035025 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.annotate.partitioning; import com.antigenomics.vdjtools.sample.Clonotype; import com.milaboratory.core.Range; public class VJJunction extends Cdr3Region { @Override protected Range getRange(Clonotype clonotype) { return new Range(clonotype.getVEnd() + 1, clonotype.getJStart()); } @Override public String getName() { return "VJ-junc"; } } src/main/java/com/antigenomics/vdjtools/annotate/partitioning/DJJunction.java000644 001750 001750 00000003612 13525023773 035001 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.annotate.partitioning; import com.antigenomics.vdjtools.sample.Clonotype; import com.milaboratory.core.Range; public class DJJunction extends Cdr3Region { @Override protected Range getRange(Clonotype clonotype) { return new Range(clonotype.getDEnd() + 1, clonotype.getJStart()); // upper limit exclusive } @Override public String getName() { return "DJ-junc"; } } src/main/java/com/antigenomics/vdjtools/annotate/partitioning/VGermline.java000644 001750 001750 00000003627 13525023773 034670 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.annotate.partitioning; import com.antigenomics.vdjtools.sample.Clonotype; import com.milaboratory.core.Range; public class VGermline extends Cdr3Region { @Override protected Range getRange(Clonotype clonotype) { return new Range(0, clonotype.getVEnd() + 1); // range is exclusive, V end is the position of last V base } @Override public String getName() { return "V-germ"; } } src/main/java/com/antigenomics/vdjtools/annotate/partitioning/VDJunction.java000644 001750 001750 00000003610 13525023773 035013 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.annotate.partitioning; import com.antigenomics.vdjtools.sample.Clonotype; import com.milaboratory.core.Range; public class VDJunction extends Cdr3Region { @Override protected Range getRange(Clonotype clonotype) { return new Range(clonotype.getVEnd() + 1, clonotype.getDStart()); // upper limit exclusive } @Override public String getName() { return "VD-junc"; } }vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/annotate/AaProperty.java000644 001750 001750 00000003570 13525023773 032433 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.annotate; import com.antigenomics.vdjtools.sample.Clonotype; import com.milaboratory.core.sequence.AminoAcidSequence; public abstract class AaProperty { public abstract String getName(); public abstract float compute(AminoAcidSequence sequence, int pos); public float compute(Clonotype clonotype, int pos) { return compute(clonotype.getCdr3aaBinary(), pos); } } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/sample/000755 001750 001750 00000000000 13525023773 027145 5ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/sample/BlankClonotypeFilter.java000644 001750 001750 00000003625 13525023773 034110 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.sample; /** * A dummy clonotype filter. This class is a singleton. */ public class BlankClonotypeFilter extends ClonotypeFilter { public static final BlankClonotypeFilter INSTANCE = new BlankClonotypeFilter(); private BlankClonotypeFilter() { super(false); } /** * {@inheritDoc} */ @Override protected boolean checkPass(Clonotype clonotype) { return true; } } src/main/java/com/antigenomics/vdjtools/sample/CompositeClonotypeFilter.java000644 001750 001750 00000004257 13525023773 034746 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.sample; /** * A class representing several clonotype filters applied together. */ public class CompositeClonotypeFilter extends ClonotypeFilter { private final ClonotypeFilter[] filters; public CompositeClonotypeFilter(boolean negative, ClonotypeFilter... filters) { super(negative); this.filters = filters; } public CompositeClonotypeFilter(ClonotypeFilter... filters) { this(false, filters); } /** * {@inheritDoc} */ @Override protected boolean checkPass(Clonotype clonotype) { for (ClonotypeFilter filter : filters) if (!filter.pass(clonotype)) return false; return true; } } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/sample/CountFilter.java000644 001750 001750 00000003556 13525023773 032257 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.sample; public class CountFilter extends ClonotypeFilter { private final int countThreshold; public CountFilter() { this(1); } public CountFilter(int countThreshold) { this.countThreshold = countThreshold; } @Override protected boolean checkPass(Clonotype clonotype) { return clonotype.getCount() >= countThreshold; } } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/sample/ClonotypeFilter.java000644 001750 001750 00000012660 13525023773 033137 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.sample; import com.antigenomics.vdjtools.misc.AtomicDouble; import java.util.concurrent.atomic.AtomicInteger; import java.util.concurrent.atomic.AtomicLong; /** * A base class for clonotype filtering rule. This class also provides summary statistics. */ public abstract class ClonotypeFilter { private final AtomicInteger passedClonotypes = new AtomicInteger(), totalClonotypes = new AtomicInteger(); private final AtomicLong passedCount = new AtomicLong(), totalCount = new AtomicLong(); private final AtomicDouble passedFreq = new AtomicDouble(), totalFreq = new AtomicDouble(); private final boolean negative; protected ClonotypeFilter(boolean negative) { this.negative = negative; } protected ClonotypeFilter() { this(false); } /** * Checks whether a given clonotype passes the filter. * * @param clonotype a clonotype. * @return clonotype passes the filter and should be retained. */ public boolean pass(Clonotype clonotype) { boolean pass = negative ^ checkPass(clonotype); if (pass) { passedClonotypes.incrementAndGet(); passedCount.addAndGet(clonotype.getCount()); passedFreq.addAndGet(clonotype.getFreq()); } totalClonotypes.incrementAndGet(); totalCount.addAndGet(clonotype.getCount()); totalFreq.addAndGet(clonotype.getFreq()); return pass; } protected abstract boolean checkPass(Clonotype clonotype); /** * Gets filtering statistics. * * @return clonotype filtering statistics. */ public ClonotypeFilterStats getStats() { return new ClonotypeFilterStats(passedClonotypes.get(), totalClonotypes.get(), passedCount.get(), totalCount.get(), passedFreq.get(), totalFreq.get()); } /** * Gets filtering statistics and resets counters. * * @return clonotype filtering statistics. */ public ClonotypeFilterStats getStatsAndFlush() { ClonotypeFilterStats stats = getStats(); passedClonotypes.set(0); totalClonotypes.set(0); passedCount.set(0L); totalCount.set(0L); passedFreq.set(0.0); totalFreq.set(0.0); return stats; } /** * Clonotype filtering statistics. */ public static class ClonotypeFilterStats { private final int passedClonotypes, totalClonotypes; private final long passedCount, totalCount; private final double passedFreq, totalFreq; public ClonotypeFilterStats(int passedClonotypes, int totalClonotypes, long passedCount, long totalCount, double passedFreq, double totalFreq) { this.passedClonotypes = passedClonotypes; this.totalClonotypes = totalClonotypes; this.passedCount = passedCount; this.totalCount = totalCount; this.passedFreq = passedFreq; this.totalFreq = totalFreq; } public int getPassedClonotypes() { return passedClonotypes; } public int getTotalClonotypes() { return totalClonotypes; } public long getPassedCount() { return passedCount; } public long getTotalCount() { return totalCount; } public double getPassedFreq() { return passedFreq; } public double getTotalFreq() { return totalFreq; } public static final String HEADER = "passed_clones\ttotal_clones\t" + "passed_count\ttotal_count\t" + "passed_freq\ttotal_freq"; @Override public String toString() { return passedClonotypes + "\t" + totalClonotypes + "\t" + passedCount + "\t" + totalCount + "\t" + passedFreq + "\t" + totalFreq; } } } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/sample/DFilter.java000644 001750 001750 00000003617 13525023773 031350 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.sample; /** * Filter based on Diversity segment matching. */ public class DFilter extends SegmentFilter { public DFilter(boolean negative, String... segmentNames) { super(negative, segmentNames); } public DFilter(String... segmentNames) { super(segmentNames); } @Override protected String getSegmentName(Clonotype clonotype) { return clonotype.getD(); } } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/sample/VFilter.java000644 001750 001750 00000003616 13525023773 031371 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.sample; /** * Filter based on Variable segment matching. */ public class VFilter extends SegmentFilter { public VFilter(boolean negative, String... segmentNames) { super(negative, segmentNames); } public VFilter(String... segmentNames) { super(segmentNames); } @Override protected String getSegmentName(Clonotype clonotype) { return clonotype.getV(); } } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/sample/Clonotype.java000644 001750 001750 00000045547 13525023773 032003 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.sample; import com.antigenomics.vdjtools.ClonotypeWrapper; import com.antigenomics.vdjtools.Countable; import com.antigenomics.vdjtools.misc.CommonUtil; import com.antigenomics.vdjtools.misc.Segment; import com.antigenomics.vdjtools.misc.SegmentFactory; import com.milaboratory.core.sequence.AminoAcidSequence; import com.milaboratory.core.sequence.NucleotideSequence; import java.util.Arrays; import java.util.List; /** * A class holding comprehensive info on a T- or B-cell clonotype. * CDR stands for Complementarity Determining Region */ public class Clonotype implements Comparable, Countable, ClonotypeWrapper { private Sample parent; private int count; private double freq; private String annotation; private final int[] segmPoints; private final Segment v, d, j; private final NucleotideSequence cdr3nt; private final AminoAcidSequence cdr3aa; private final boolean inFrame, isComplete, noStop; /** * Creates a new clonotype explicitly setting all fields * * @param parent parent sample * @param count clonotype count, number of reads associated with this clonotype * @param freq clonotype frequency, fraction of reads associated with this clonotype in the parent sample * @param segmPoints an array containing Variable segment end, Diversity segment start, Diversity segment end and Joining segment start in CDR3 coordinates * @param v Variable segment identifier * @param d Diversity segment identifier * @param j Joining segment identifier * @param cdr3nt nucleotide sequence of CDR3 * @param cdr3aa amino acid sequence of CDR3 * @param inFrame tells if this clonotype is in frame, i.e. it's sequence doesn't contain frameshifts * @param noStop tells if the sequence of this clonotype doesn't contain any stop codon * @param isComplete tells if this clonotype is complete, i.e. CDR3 sequence for this clonotype is completely determined * @param annotation clonotype annotation string (can be null) */ public Clonotype(Sample parent, int count, double freq, int[] segmPoints, Segment v, Segment d, Segment j, NucleotideSequence cdr3nt, AminoAcidSequence cdr3aa, boolean inFrame, boolean noStop, boolean isComplete, String annotation) { this.parent = parent; this.count = count; this.freq = freq; this.segmPoints = segmPoints; this.v = v; this.d = d; this.j = j; this.cdr3nt = cdr3nt; this.cdr3aa = cdr3aa; this.inFrame = inFrame; this.isComplete = isComplete; this.noStop = noStop; this.annotation = annotation; } /** * Creates a new clonotype explicitly setting all fields * * @param parent parent sample * @param count clonotype count, number of reads associated with this clonotype * @param freq clonotype frequency, fraction of reads associated with this clonotype in the parent sample * @param segmPoints an array containing Variable segment end, Diversity segment start, Diversity segment end and Joining segment start in CDR3 coordinates * @param v Variable segment identifier * @param d Diversity segment identifier * @param j Joining segment identifier * @param cdr3nt nucleotide sequence of CDR3 * @param cdr3aa amino acid sequence of CDR3 * @param inFrame tells if this clonotype is in frame, i.e. it's sequence doesn't contain frameshifts * @param noStop tells if the sequence of this clonotype doesn't contain any stop codon * @param isComplete tells if this clonotype is complete, i.e. CDR3 sequence for this clonotype is completely determined */ public Clonotype(Sample parent, int count, double freq, int[] segmPoints, Segment v, Segment d, Segment j, NucleotideSequence cdr3nt, AminoAcidSequence cdr3aa, boolean inFrame, boolean noStop, boolean isComplete) { this(parent, count, freq, segmPoints, v, d, j, cdr3nt, cdr3aa, inFrame, noStop, isComplete, null); } /** * Creates a new clonotype explicitly setting all fields * * @param parent parent sample * @param count clonotype count, number of reads associated with this clonotype * @param freq clonotype frequency, fraction of reads associated with this clonotype in the parent sample * @param segmPoints an array containing Variable segment end, Diversity segment start, Diversity segment end and Joining segment start in CDR3 coordinates * @param v Variable segment identifier * @param d Diversity segment identifier * @param j Joining segment identifier * @param cdr3nt nucleotide sequence of CDR3 * @param cdr3aa amino acid sequence of CDR3 * @param inFrame tells if this clonotype is in frame, i.e. it's sequence doesn't contain frameshifts * @param noStop tells if the sequence of this clonotype doesn't contain any stop codon * @param isComplete tells if this clonotype is complete, i.e. CDR3 sequence for this clonotype is completely determined * @param annotation clonotype annotation string (can be null) */ public Clonotype(Sample parent, int count, double freq, int[] segmPoints, String v, String d, String j, String cdr3nt, String cdr3aa, boolean inFrame, boolean noStop, boolean isComplete, String annotation) { this(parent, count, freq, segmPoints, SegmentFactory.INSTANCE.create(v), SegmentFactory.INSTANCE.create(d), SegmentFactory.INSTANCE.create(j), new NucleotideSequence(cdr3nt), new AminoAcidSequence(cdr3aa), inFrame, noStop, isComplete, annotation); } /** * Creates a new clonotype explicitly setting all fields * * @param parent parent sample * @param count clonotype count, number of reads associated with this clonotype * @param freq clonotype frequency, fraction of reads associated with this clonotype in the parent sample * @param segmPoints an array containing Variable segment end, Diversity segment start, Diversity segment end and Joining segment start in CDR3 coordinates * @param v Variable segment identifier * @param d Diversity segment identifier * @param j Joining segment identifier * @param cdr3nt nucleotide sequence of CDR3 * @param cdr3aa amino acid sequence of CDR3 * @param inFrame tells if this clonotype is in frame, i.e. it's sequence doesn't contain frameshifts * @param noStop tells if the sequence of this clonotype doesn't contain any stop codon * @param isComplete tells if this clonotype is complete, i.e. CDR3 sequence for this clonotype is completely determined */ public Clonotype(Sample parent, int count, double freq, int[] segmPoints, String v, String d, String j, String cdr3nt, String cdr3aa, boolean inFrame, boolean noStop, boolean isComplete) { this(parent, count, freq, segmPoints, v, d, j, cdr3nt, cdr3aa, inFrame, noStop, isComplete, null); } /** * A copying constructor * * @param toCopy clonotype to copy all fields from */ public Clonotype(Clonotype toCopy) { this(toCopy, toCopy.parent, toCopy.count); } /** * A copying constructor * * @param toCopy clonotype to copy all fields from * @param newParent sample this clonotype will be assigned to */ public Clonotype(Clonotype toCopy, Sample newParent) { this(toCopy, newParent, toCopy.count); } /** * A copying constructor * * @param toCopy clonotype to copy all fields from * @param newParent sample this clonotype will be assigned to * @param newCount number of reads that will be associated with this clonotype in new sample */ public Clonotype(Clonotype toCopy, Sample newParent, int newCount) { this(newParent, newCount, toCopy.freq, toCopy.segmPoints, toCopy.v, toCopy.d, toCopy.j, toCopy.cdr3nt, toCopy.cdr3aa, toCopy.inFrame, toCopy.noStop, toCopy.isComplete, toCopy.annotation); } /** * Gets the annotation string associated with this clonotype. * * @return clonotype annotation or null if not available */ public String getAnnotation() { return annotation; } /** * Sets the annotation string associated with this clonotype. */ public void setAnnotation(String annotation) { this.annotation = annotation; } /** * {@inheritDoc} */ @Override public int getDiversity() { return 1; } /** * Gets the clonotype count * * @return number of reads that are associated with this clonotype */ public long getCount() { return count; } /** * Gets the frequency of this clonotype as specified in plain-text input file * * @return fraction of reads that are associated with this clonotype according to plain-text input file */ public double getFreqAsInInput() { return freq; } /** * Gets the frequency of this clonotype in its parent sample * * @return the fraction of reads that are associated with this clonotype in its parent sample */ public double getFreq() { return count / (double) parent.getCount(); } /** * Gets the Variable segment of this clonotype * * @return string identifier of Variable segment */ public String getV() { return v.toString(); } public Segment getVBinary() { return v; } /** * Gets the Diversity segment of this clonotype * * @return string identifier of Diversity segment */ public String getD() { return d.toString(); } public Segment getDBinary() { return d; } /** * Gets the Joining segment of this clonotype * * @return string identifier of Joining segment */ public String getJ() { return j.toString(); } public Segment getJBinary() { return j; } /** * Gets the nucleotide sequence of CDR3 region of this clonotype * * @return */ public String getCdr3nt() { return cdr3nt.toString(); } public NucleotideSequence getCdr3ntBinary() { return cdr3nt; } /** * Gets the amino acid sequence of CDR3 region of this clonotype * * @return */ public String getCdr3aa() { return cdr3aa.toString(); } public AminoAcidSequence getCdr3aaBinary() { return cdr3aa; } /** * Returns {@code true} if this clonotype is in frame, {@code false} otherwise. * In case Variable segment sequence is not fully known, this usually involves checking if * Variable and Joining segment parts of CDR3 sequence are in-frame * * @return {@code true} if the clonotype sequence doesn't contain a frameshift, {@code false} otherwise */ public boolean isInFrame() { return inFrame; } /** * Returns {@code true} if this clonotype is complete, {@code false} otherwise * * @return {@code true} if whole CDR3 sequence is known, {@code false} otherwise */ public boolean isComplete() { return isComplete; } /** * Returns {@code true} if this clonotype sequence doesn't contain a stop codon, {@code false} otherwise * * @return {@code true} if the clonotype sequence doesn't contain a stop codon, {@code false} otherwise */ public boolean isNoStop() { return noStop; } /** * Returns {@code true} if this clonotype sequence is coding, {@code false} otherwise * * @return {@code true} if the clonotype sequence doesn't contain a stop codon or a frameshift, {@code false} otherwise */ public boolean isCoding() { return noStop && inFrame; } /** * Gets the position of the last nucleotide of Variable segment in CDR3 coordinates * * @return zero-based position of last Variable segment nucleotide, relative to first CDR3 nucleotide (first bp of conserved Cys codon) */ public int getVEnd() { return segmPoints[0]; } /** * Gets the position of the first nucleotide of Diversity segment in CDR3 coordinates * * @return zero-based position of first Diversity segment nucleotide, relative to first CDR3 nucleotide (first bp of conserved Cys codon) */ public int getDStart() { return segmPoints[1]; } /** * Gets the position of the last nucleotide of Diversity segment in CDR3 coordinates * * @return zero-based position of last Diversity segment nucleotide, relative to first CDR3 nucleotide (first bp of conserved Cys codon) */ public int getDEnd() { return segmPoints[2]; } /** * Gets the position of the first nucleotide of Joining segment in CDR3 coordinates * * @return zero-based position of first Joining segment nucleotide, relative to first CDR3 nucleotide (first bp of conserved Cys codon) */ public int getJStart() { return segmPoints[3]; } /** * Gets the length of CDR3 region. * * @return length of CDR3 nucleotide sequence. */ public int getCdr3Length() { return cdr3nt.size(); } /** * Gets the number of nucleotides added between the Variable segment end and Diversity segment start * * @return number of nucleotides inserted into Variable-Diversity segment junction, or {@code -1} if Diversity segment is not defined */ public int getVDIns() { return (segmPoints[0] >= 0 && segmPoints[1] >= 0) ? segmPoints[1] - segmPoints[0] - 1 : -1; } /** * Gets the number of nucleotides added between the Diversity segment end and Joining segment start * * @return number of nucleotides inserted into Diversity-Joining segment junction, or {@code -1} if Diversity segment is not defined */ public int getDJIns() { return (segmPoints[3] >= 0 && segmPoints[2] >= 0) ? segmPoints[3] - segmPoints[2] - 1 : -1; } /** * Gets the total number of added nucleotides * * @return number of nucleotides inserted into Variable-Diversity and Diversity-Joining segment junctions, or {@code -1} if Diversity segment is not defined */ public int getInsertSize() { return (segmPoints[0] >= 0 && segmPoints[1] >= 0 && segmPoints[2] >= 0 && segmPoints[3] >= 0) ? getVDIns() + getDJIns() : -1; } /** * Gets the number of nucleotides that are between Variable and Joining segments * * @return number of nucleotides between Variable and Joining segments, including those of Diversity segment (if present) */ public int getNDNSize() { return (segmPoints[0] >= 0 && segmPoints[3] >= 0) ? segmPoints[3] - segmPoints[0] - 1 : 0; } /** * INTERNAL used for output * * @return */ public String getBlank() { return CommonUtil.PLACEHOLDER; } /** * Gets the parent sample * * @return parent clonotype container */ @Override public Sample getParent() { return parent; } void append(Clonotype other) { this.count += other.count; this.freq += other.freq; } double recalculateFrequency() { this.freq = getFreq(); return freq; } @Override public int compareTo(Clonotype o) { return -Integer.compare(this.count, o.count); } @Override public boolean equals(Object o) { if (this == o) return true; if (o == null || getClass() != o.getClass()) return false; Clonotype clonotype = (Clonotype) o; if (!cdr3nt.equals(clonotype.cdr3nt)) return false; if (!j.equals(clonotype.j)) return false; if (!parent.equals(clonotype.parent)) return false; if (!v.equals(clonotype.v)) return false; return true; } @Override public int hashCode() { int result = parent.hashCode(); result = 31 * result + v.hashCode(); result = 31 * result + j.hashCode(); result = 31 * result + cdr3nt.hashCode(); return result; } Clonotype withSegments(Segment v, Segment j) { return new Clonotype(parent, count, freq, segmPoints, v, d, j, cdr3nt, cdr3aa, inFrame, noStop, isComplete, annotation ); } @Override public Clonotype getClonotype() { return this; } @Override public String toString() { return "Clonotype{" + "parent=" + parent + ", count=" + count + ", freq=" + freq + ", annotation='" + annotation + '\'' + ", segmPoints=" + Arrays.toString(segmPoints) + ", v=" + v + ", d=" + d + ", j=" + j + ", cdr3nt=" + cdr3nt + ", cdr3aa=" + cdr3aa + ", inFrame=" + inFrame + ", isComplete=" + isComplete + ", noStop=" + noStop + '}'; } } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/sample/SegmentFilter.java000644 001750 001750 00000005636 13525023773 032572 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.sample; import com.antigenomics.vdjtools.misc.Segment; import com.antigenomics.vdjtools.misc.SegmentFactory; import java.util.Collections; import java.util.HashSet; import java.util.Set; import java.util.stream.Collectors; public abstract class SegmentFilter extends ClonotypeFilter { private int mySegmentSetSize = 0; private final String[] segmentNames; private final Set segmentSet = new HashSet<>(); public SegmentFilter(boolean negative, String... segmentNames) { super(negative); this.segmentNames = segmentNames; } public SegmentFilter(String... segmentNames) { this(false, segmentNames); } protected abstract String getSegmentName(Clonotype clonotype); private void refreshLazy() { if (mySegmentSetSize != SegmentFactory.INSTANCE.size()) { for (String name : segmentNames) { segmentSet.addAll(SegmentFactory.INSTANCE.getAtFuzzy(name) .stream() .map(Segment::getName) .collect(Collectors.toList())); } mySegmentSetSize = SegmentFactory.INSTANCE.size(); } } @Override protected boolean checkPass(Clonotype clonotype) { refreshLazy(); return segmentSet.contains(getSegmentName(clonotype)); } public Set getSegmentSet() { return Collections.unmodifiableSet(segmentSet); } } src/main/java/com/antigenomics/vdjtools/sample/FunctionalClonotypeFilter.java000644 001750 001750 00000003645 13525023773 035106 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.sample; /** * Filter based on clonotype coding/non-coding status. */ public class FunctionalClonotypeFilter extends ClonotypeFilter { public FunctionalClonotypeFilter(boolean negative) { super(negative); } public FunctionalClonotypeFilter() { super(false); } @Override protected boolean checkPass(Clonotype clonotype) { return clonotype.isInFrame() && clonotype.isNoStop(); } } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/sample/QuantileFilter.java000644 001750 001750 00000004644 13525023773 032750 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.sample; import com.antigenomics.vdjtools.ClonotypeWrapperContainer; /** * Clonotype filter based on the frequency quantile of its parent sample it is placed in. */ public class QuantileFilter extends ClonotypeFilter { private final double topQuantileFrequencyThreshold; private double cumulativeFreq = 0; public QuantileFilter() { this(0.25); } public QuantileFilter(double topQuantileFrequencyThreshold) { this.topQuantileFrequencyThreshold = topQuantileFrequencyThreshold; } @Override protected boolean checkPass(Clonotype clonotype) { ClonotypeWrapperContainer parent = clonotype.getParent(); if (!parent.isSorted()) throw new RuntimeException("Only sorted samples are supported in QuantileFilter."); cumulativeFreq += clonotype.getFreqAsInInput(); return cumulativeFreq / parent.getFreqAsInInput() <= topQuantileFrequencyThreshold; } } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/sample/Chain.java000644 001750 001750 00000000153 13525023773 031031 0ustar00moellermoeller000000 000000 package com.antigenomics.vdjtools.sample; public enum Chain { TRA, TRB, IGH, IGL, IGK, TRG, TRD, NA } src/main/java/com/antigenomics/vdjtools/sample/IntersectionClonotypeFilter.java000644 001750 001750 00000005044 13525023773 035445 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.sample; import com.antigenomics.vdjtools.join.ClonotypeKeyGen; import com.antigenomics.vdjtools.join.key.ClonotypeKey; import com.antigenomics.vdjtools.overlap.OverlapType; import java.util.Set; /** * Filter based on clonotype intersection with the list of clonotypes from the specified sample according to * the specified clonotype matching rule. */ public class IntersectionClonotypeFilter extends ClonotypeFilter { private final ClonotypeKeyGen clonotypeKeyGen; private final Set keySet; public IntersectionClonotypeFilter(OverlapType overlapType, Sample sample, boolean negative) { super(negative); this.clonotypeKeyGen = new ClonotypeKeyGen(overlapType); this.keySet = new ClonotypeKeyGen(overlapType).generateKeySet(sample); } public IntersectionClonotypeFilter(OverlapType overlapType, Sample sample) { this(overlapType, sample, false); } @Override protected boolean checkPass(Clonotype clonotype) { return keySet.contains(clonotypeKeyGen.generateKey(clonotype)); } } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/sample/Sample.java000644 001750 001750 00000025351 13525023773 031237 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.sample; import com.antigenomics.vdjtools.ClonotypeWrapperContainer; import com.antigenomics.vdjtools.io.parser.ClonotypeStreamParser; import com.antigenomics.vdjtools.misc.Software; import com.antigenomics.vdjtools.sample.metadata.SampleMetadata; import java.io.InputStream; import java.util.*; /** * An implementation of Rep-Seq sample. */ public class Sample implements ClonotypeWrapperContainer { private final List clonotypes = new ArrayList<>(); private final SampleMetadata sampleMetadata; private double frequency = 0; private long count = 0; private int diversity = 0; private String annotationHeader = null; public Sample(SampleMetadata sampleMetadata) { this.sampleMetadata = sampleMetadata; } /** * Creates a deep copy of a given sample, re-assigning sample metadata. * * @param other sample to copy. * @param sampleMetadata new sample metadata. */ public Sample(Sample other, SampleMetadata sampleMetadata) { this.sampleMetadata = sampleMetadata; this.annotationHeader = other.annotationHeader; for (Clonotype clonotype : other.clonotypes) { this.addClonotype(new Clonotype(clonotype, this)); } } /** * Creates a new sample by selecting a subset of reads from a given sample. Number of reads * to be taken for each clonotypes is specified explicitly. * * @param other sample to subset from. * @param samplerMap number of reads to take for each clonotype. */ public Sample(Sample other, Map samplerMap) { this.sampleMetadata = other.sampleMetadata; this.annotationHeader = other.annotationHeader; for (Clonotype clonotype : other.clonotypes) { Integer newCount = samplerMap.get(clonotype); if (newCount != null && newCount > 0) this.addClonotype(new Clonotype(clonotype, this, newCount)); } Collections.sort(clonotypes); } public Sample(Sample other, ClonotypeConverter clonotypeConverter) { this.sampleMetadata = other.sampleMetadata; this.annotationHeader = other.annotationHeader; for (Clonotype clonotype : other.clonotypes) { this.addClonotype(clonotypeConverter.convert(clonotype)); } } /** * Creates a new sample by filtering and selecting top N clonotypes from the specified sample. * * @param other sample to filter and select from. * @param filter a clonotype filter. * @param top if set to value other than -1 will select only top N most abundant matching clonotypes. */ public Sample(Sample other, ClonotypeFilter filter, int top) { this.sampleMetadata = other.sampleMetadata; this.annotationHeader = other.annotationHeader; for (Clonotype clonotype : other.clonotypes) { if (top > -1 && this.getDiversity() == top) break; if (filter.pass(clonotype)) this.addClonotype(new Clonotype(clonotype, this)); } } /** * Creates a new sample by selecting top N clonotypes from the specified sample. * * @param other sample to select from. * @param top if set to value other than -1 will select only top N most abundant matching clonotypes. */ public Sample(Sample other, int top) { this(other, BlankClonotypeFilter.INSTANCE, top); } /** * Creates a new sample by filtering clonotypes from the specified sample. * * @param other sample to filter. * @param filter a clonotype filter. */ public Sample(Sample other, ClonotypeFilter filter) { this(other, filter, -1); } /** * Clones a given sample. * * @param other sample to clone. */ public Sample(Sample other) { this(other, BlankClonotypeFilter.INSTANCE, -1); } /** * Reads sample from input stream. * * @param inputStream input stream containing plain-text clonotype table. * @param sampleMetadata sample metadata. * @param software software, used for parsing. * @param top select top N clonotypes only. Set to -1 to select all clonotypes. * @param store if set to true, will store sample to memory. Otherwise will create an instance of the sample that will be read on demand. * @param collapse if set to true, will collapse the sample combining duplicate clonotypes. * @return sample instance. */ public static Sample fromInputStream(InputStream inputStream, SampleMetadata sampleMetadata, Software software, int top, boolean store, boolean collapse) { Sample sample = new Sample(sampleMetadata); ClonotypeStreamParser clonotypeStreamParser = ClonotypeStreamParser.create(inputStream, software, sample); sample.annotationHeader = clonotypeStreamParser.getAnnotationHeader(); boolean sorted = !collapse; int prevCount = Integer.MAX_VALUE; Map existingClonotypes = new HashMap<>(); for (Clonotype clonotype : clonotypeStreamParser) { if (top > -1 && sample.getDiversity() == top) break; if (clonotype != null) { int count = (int) clonotype.getCount(); if (sorted && count > prevCount) { sorted = false; prevCount = count; } Clonotype existing = null; if (collapse) { existing = existingClonotypes.get(clonotype); if (existing != null) { existing.append(clonotype); } else { existingClonotypes.put(clonotype, clonotype); } } sample.addClonotype(clonotype, store, existing); } } clonotypeStreamParser.finish(); // report progress // on-demand sorting if (!sorted) Collections.sort(sample.clonotypes); // Re-calculate frequencies for per read storing software if (software.isPerReadOutput()) { sample.frequency = 0; for (Clonotype clonotype : sample) { sample.frequency += clonotype.recalculateFrequency(); } } return sample; } /** * Reads sample from input stream. Stores the sample into memory. * * @param inputStream input stream containing plain-text clonotype table. * @param sampleMetadata sample metadata. * @param software software, used for parsing. * @return sample instance. */ public static Sample fromInputStream(InputStream inputStream, SampleMetadata sampleMetadata, Software software) { return fromInputStream(inputStream, sampleMetadata, software, -1, true, software.isCollapseRequired()); } private void addClonotype(Clonotype clonotype) { addClonotype(clonotype, true, null); } private void addClonotype(Clonotype clonotype, boolean store, Clonotype existingClonotype) { count += clonotype.getCount(); frequency += clonotype.getFreqAsInInput(); if (existingClonotype == null) { diversity++; if (store) clonotypes.add(clonotype); } } /** * Gets the clonotype annotation header string * * @return clonotype annotation header or null if not available */ public String getAnnotationHeader() { return annotationHeader; } /** * Gets the clonotype annotation header string */ public void setAnnotationHeader(String annotationHeader) { this.annotationHeader = annotationHeader; } /** * Gets the metadata associted with the sample. * * @return sample metadata. */ public SampleMetadata getSampleMetadata() { return sampleMetadata; } /** * Gets the list of clonotypes in a given sample. * Added for compatibility with 1.8 stream operations. * * @return clonotype list. */ public List getClonotypes() { return Collections.unmodifiableList(clonotypes); } /** * {@inheritDoc} */ @Override public double getFreq() { return 1.0; } /** * {@inheritDoc} */ @Override public double getFreqAsInInput() { return frequency; } /** * {@inheritDoc} */ @Override public long getCount() { return count; } /** * {@inheritDoc} */ @Override public int getDiversity() { return diversity; } /** * {@inheritDoc} */ @Override public Clonotype getAt(int index) { if (index < 0 || index >= clonotypes.size()) throw new IndexOutOfBoundsException(); return clonotypes.get(index); } /** * {@inheritDoc} */ @Override public boolean isSorted() { return true; } @Override public Iterator iterator() { return clonotypes.iterator(); } } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/sample/JFilter.java000644 001750 001750 00000003615 13525023773 031354 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.sample; /** * Filter based on Joining segment matching. */ public class JFilter extends SegmentFilter { public JFilter(boolean negative, String... segmentNames) { super(negative, segmentNames); } public JFilter(String... segmentNames) { super(segmentNames); } @Override protected String getSegmentName(Clonotype clonotype) { return clonotype.getJ(); } } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/sample/ClonotypeConverter.java000644 001750 001750 00000000200 13525023773 033644 0ustar00moellermoeller000000 000000 package com.antigenomics.vdjtools.sample; public interface ClonotypeConverter { Clonotype convert(Clonotype clonotype); } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/sample/FrequencyFilter.java000644 001750 001750 00000003706 13525023773 033125 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.sample; /** * Filter based on clonotype frequency. */ public class FrequencyFilter extends ClonotypeFilter { private final double frequencyThreshold; public FrequencyFilter() { this(0.01); } public FrequencyFilter(double frequencyThreshold) { this.frequencyThreshold = frequencyThreshold; } @Override protected boolean checkPass(Clonotype clonotype) { return clonotype.getFreq() >= frequencyThreshold; } } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/sample/SegmentConverter.java000644 001750 001750 00000002204 13525023773 033300 0ustar00moellermoeller000000 000000 package com.antigenomics.vdjtools.sample; import com.antigenomics.vdjtools.misc.Segment; import com.antigenomics.vdjtools.misc.SegmentFactory; import java.util.HashMap; import java.util.Map; public class SegmentConverter implements ClonotypeConverter { private final Map vSegmentMap = new HashMap<>(), jSegmentMap = new HashMap<>(); public SegmentConverter(Map vSegmentMap, Map jSegmentMap) { for (Map.Entry conv : vSegmentMap.entrySet()) { this.vSegmentMap.put(conv.getKey(), SegmentFactory.INSTANCE.create(conv.getValue())); } for (Map.Entry conv : jSegmentMap.entrySet()) { this.jSegmentMap.put(conv.getKey(), SegmentFactory.INSTANCE.create(conv.getValue())); } } @Override public Clonotype convert(Clonotype clonotype) { return clonotype.withSegments( vSegmentMap.getOrDefault(clonotype.getV(), clonotype.getVBinary()), jSegmentMap.getOrDefault(clonotype.getJ(), clonotype.getJBinary())); } } vdjtools-1.2.1+git20190311/src/main/java/com/antigenomics/vdjtools/sample/SequenceMatchFilter.java000644 001750 001750 00000006435 13525023773 033713 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.sample; import com.antigenomics.vdjtools.misc.CommonUtil; import org.apache.commons.lang3.StringUtils; import java.util.regex.Pattern; /** * A filter based on CDR3 pattern matching. */ public class SequenceMatchFilter extends ClonotypeFilter { private final static Pattern aaAccepted = Pattern.compile("[FLSYCWPHQRIMTNKVADEGX\\*_\\[\\]]+"), ntAccepted = Pattern.compile("[ATGCN\\[\\]]+"); private final String patternString; private final Pattern pattern; private final boolean aminoAcid; private final int maxMismatches; public SequenceMatchFilter(String patternString, boolean aminoAcid, int maxMismatches) { super(false); patternString = patternString.toUpperCase(); if (!(aminoAcid ? aaAccepted : ntAccepted).matcher(patternString).matches()) { throw new IllegalArgumentException("Bad sequence pattern: " + patternString); } if (StringUtils.countMatches(patternString, '[') != StringUtils.countMatches(patternString, ']')) { throw new IllegalArgumentException("Bad sequence pattern: " + patternString); } patternString = patternString.replaceAll("[XN]", CommonUtil.PLACEHOLDER); this.pattern = Pattern.compile(patternString); this.patternString = patternString; this.aminoAcid = aminoAcid; this.maxMismatches = maxMismatches; } @Override protected boolean checkPass(Clonotype clonotype) { String query = aminoAcid ? clonotype.getCdr3aa() : clonotype.getCdr3nt(); return pattern.matcher(query).find(); } public String getPatternString() { return patternString; } public boolean isAminoAcid() { return aminoAcid; } public int getMaxMismatches() { return maxMismatches; } } vdjtools-1.2.1+git20190311/src/main/resources/000755 001750 001750 00000000000 13525023773 021653 5ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/src/main/resources/vj_families.txt000644 001750 001750 00000024436 13525023773 024715 0ustar00moellermoeller000000 000000 species gene segment segment.id segment.fam human TRA J TRAJ10 TRAJ-F1 human TRA J TRAJ40 TRAJ-F1 human TRA J TRAJ44 TRAJ-F1 mouse TRA J TRAJ11 TRAJ-F1 mouse TRA J TRAJ53 TRAJ-F1 mouse TRA J TRAJ58 TRAJ-F1 human TRA J TRAJ23 TRAJ-F10 human TRA J TRAJ27 TRAJ-F10 human TRA J TRAJ31 TRAJ-F10 human TRA J TRAJ37 TRAJ-F10 mouse TRA J TRAJ32 TRAJ-F10 mouse TRA J TRAJ37 TRAJ-F10 human TRA J TRAJ24 TRAJ-F11 human TRA J TRAJ7 TRAJ-F11 mouse TRA J TRAJ33 TRAJ-F11 mouse TRA J TRAJ38 TRAJ-F11 human TRA J TRAJ26 TRAJ-F12 human TRA J TRAJ28 TRAJ-F12 human TRA J TRAJ29 TRAJ-F12 human TRA J TRAJ30 TRAJ-F12 human TRA J TRAJ50 TRAJ-F12 mouse TRA J TRAJ35 TRAJ-F12 human TRA J TRAJ33 TRAJ-F13 human TRA J TRAJ38 TRAJ-F13 mouse TRA J TRAJ40 TRAJ-F13 mouse TRA J TRAJ5 TRAJ-F13 human TRA J TRAJ52 TRAJ-F14 human TRA J TRAJ53 TRAJ-F14 human TRA J TRAJ54 TRAJ-F14 human TRA J TRAJ57 TRAJ-F14 human TRA J TRAJ6 TRAJ-F14 mouse TRA J TRAJ49 TRAJ-F14 human TRA J TRAJ11 TRAJ-F2 human TRA J TRAJ41 TRAJ-F2 human TRA J TRAJ45 TRAJ-F2 mouse TRA J TRAJ12 TRAJ-F2 mouse TRA J TRAJ18 TRAJ-F2 mouse TRA J TRAJ24 TRAJ-F2 mouse TRA J TRAJ45 TRAJ-F2 mouse TRA J TRAJ6 TRAJ-F2 mouse TRA J TRAJ9 TRAJ-F2 human TRA J TRAJ12 TRAJ-F3 human TRA J TRAJ32 TRAJ-F3 human TRA J TRAJ4 TRAJ-F3 human TRA J TRAJ46 TRAJ-F3 human TRA J TRAJ8 TRAJ-F3 mouse TRA J TRAJ13 TRAJ-F3 mouse TRA J TRAJ15 TRAJ-F3 mouse TRA J TRAJ34 TRAJ-F3 human TRA J TRAJ13 TRAJ-F4 human TRA J TRAJ34 TRAJ-F4 human TRA J TRAJ5 TRAJ-F4 mouse TRA J TRAJ16 TRAJ-F4 mouse TRA J TRAJ52 TRAJ-F4 human TRA J TRAJ14 TRAJ-F5 human TRA J TRAJ21 TRAJ-F5 human TRA J TRAJ3 TRAJ-F5 human TRA J TRAJ42 TRAJ-F5 human TRA J TRAJ43 TRAJ-F5 mouse TRA J TRAJ17 TRAJ-F5 mouse TRA J TRAJ26 TRAJ-F5 human TRA J TRAJ15 TRAJ-F6 human TRA J TRAJ56 TRAJ-F6 mouse TRA J TRAJ2 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TRA V TRAV10 TRAV-F2 human TRA V TRAV17 TRAV-F2 human TRA V TRAV21 TRAV-F2 human TRA V TRAV39 TRAV-F2 human TRA V TRAV6 TRAV-F2 human TRA V TRAV12-1 TRAV-F3 human TRA V TRAV12-2 TRAV-F3 human TRA V TRAV12-3 TRAV-F3 human TRA V TRAV13-1 TRAV-F4 human TRA V TRAV13-2 TRAV-F4 human TRA V TRAV23/DV6 TRAV-F4 human TRA V TRAV29/DV5 TRAV-F4 human TRA V TRAV23DV6 TRAV-F4 human TRA V TRAV29DV5 TRAV-F4 human TRA V TRAV23-DV6 TRAV-F4 human TRA V TRAV29-DV5 TRAV-F4 human TRA V TRAV5 TRAV-F4 human TRA V TRAV14/DV4 TRAV-F5 human TRA V TRAV14DV4 TRAV-F5 human TRA V TRAV14-DV4 TRAV-F5 human TRA V TRAV19 TRAV-F5 human TRA V TRAV38-1 TRAV-F5 human TRA V TRAV38-2/DV8 TRAV-F5 human TRA V TRAV38-2DV8 TRAV-F5 human TRA V TRAV38-2-DV8 TRAV-F5 human TRA V TRAV16 TRAV-F6 human TRA V TRAV3 TRAV-F6 human TRA V TRAV8-1 TRAV-F6 human TRA V TRAV8-2 TRAV-F6 human TRA V TRAV8-3 TRAV-F6 human TRA V TRAV8-4 TRAV-F6 human TRA V TRAV8-6 TRAV-F6 human TRA V TRAV18 TRAV-F7 human TRA V TRAV40 TRAV-F7 human TRA V TRAV9-1 TRAV-F7 human TRA V TRAV9-2 TRAV-F7 human TRA V TRAV2 TRAV-F8 human TRA V TRAV20 TRAV-F9 human TRA V TRAV24 TRAV-F9 human TRA V TRAV36/DV7 TRAV-F9 human TRA V TRAV36DV7 TRAV-F9 human TRA V TRAV36-DV7 TRAV-F9 human TRA V TRAV7 TRAV-F9 mouse TRA V TRAV1 TRAV-F1 mouse TRA V TRAV16 TRAV-F10 mouse TRA V TRAV16D/DV11 TRAV-F10 mouse TRA V TRAV16DDV11 TRAV-F10 mouse TRA V TRAV16D-DV11 TRAV-F10 mouse TRA V TRAV16N TRAV-F10 mouse TRA V TRAV17 TRAV-F11 mouse TRA V TRAV9-2 TRAV-F11 mouse TRA V TRAV9-3 TRAV-F11 mouse TRA V TRAV9-4 TRAV-F11 mouse TRA V TRAV9D-2 TRAV-F11 mouse TRA V TRAV9D-3 TRAV-F11 mouse TRA V TRAV9D-4 TRAV-F11 mouse TRA V TRAV9N-2 TRAV-F11 mouse TRA V TRAV9N-3 TRAV-F11 mouse TRA V TRAV9N-4 TRAV-F11 mouse TRA V TRAV19 TRAV-F12 mouse TRA V TRAV2 TRAV-F13 mouse TRA V TRAV21/DV12 TRAV-F13 mouse TRA V TRAV21DV12 TRAV-F13 mouse TRA V TRAV21-DV12 TRAV-F13 mouse TRA V TRAV3-1 TRAV-F14 mouse TRA V TRAV3-3 TRAV-F14 mouse TRA V TRAV3-4 TRAV-F14 mouse TRA V TRAV3D-3 TRAV-F14 mouse TRA V TRAV3N-3 TRAV-F14 mouse TRA V TRAV4-2 TRAV-F15 mouse TRA V TRAV4-3 TRAV-F15 mouse TRA V TRAV4-4/DV10 TRAV-F15 mouse TRA V TRAV4-4DV10 TRAV-F15 mouse TRA V TRAV4-4-DV10 TRAV-F15 mouse TRA V TRAV4D-3 TRAV-F15 mouse TRA V TRAV4D-4 TRAV-F15 mouse TRA V TRAV4N-3 TRAV-F15 mouse TRA V TRAV4N-4 TRAV-F15 mouse TRA V TRAV6-1 TRAV-F16 mouse TRA V TRAV6-2 TRAV-F16 mouse TRA V TRAV6-3 TRAV-F16 mouse TRA V TRAV6-4 TRAV-F16 mouse TRA V TRAV6D-3 TRAV-F16 mouse TRA V TRAV6D-4 TRAV-F16 mouse TRA V TRAV6-5 TRAV-F17 mouse TRA V TRAV6D-5 TRAV-F17 mouse TRA V TRAV6N-5 TRAV-F17 mouse TRA V TRAV6-6 TRAV-F18 mouse TRA V TRAV6D-6 TRAV-F18 mouse TRA V TRAV6N-6 TRAV-F18 mouse TRA V TRAV6-7/DV9 TRAV-F19 mouse TRA V TRAV6-7DV9 TRAV-F19 mouse TRA V TRAV6-7-DV9 TRAV-F19 mouse TRA V TRAV6D-7 TRAV-F19 mouse TRA V TRAV6N-7 TRAV-F19 mouse TRA V TRAV10 TRAV-F2 mouse TRA V TRAV10D TRAV-F2 mouse TRA V TRAV10N TRAV-F2 mouse TRA V TRAV5-1 TRAV-F2 mouse TRA V TRAV5N-4 TRAV-F2 mouse TRA V TRAV7-1 TRAV-F20 mouse TRA V TRAV7-2 TRAV-F20 mouse TRA V TRAV7-3 TRAV-F20 mouse TRA V TRAV7-4 TRAV-F20 mouse TRA V TRAV7D-2 TRAV-F20 mouse TRA V TRAV7D-3 TRAV-F20 mouse TRA V TRAV7D-4 TRAV-F20 mouse TRA V TRAV7N-4 TRAV-F20 mouse TRA V TRAV7-5 TRAV-F21 mouse TRA V TRAV7D-5 TRAV-F21 mouse TRA V TRAV7N-5 TRAV-F21 mouse TRA V TRAV7-6 TRAV-F22 mouse TRA V TRAV7D-6 TRAV-F22 mouse TRA V TRAV7N-6 TRAV-F22 mouse TRA V TRAV8-1 TRAV-F23 mouse TRA V TRAV8-2 TRAV-F23 mouse TRA V TRAV8D-1 TRAV-F23 mouse TRA V TRAV8D-2 TRAV-F23 mouse TRA V TRAV8N-2 TRAV-F23 mouse TRA V TRAV9-1 TRAV-F24 mouse TRA V TRAV9D-1 TRAV-F24 mouse TRA V TRAV11 TRAV-F3 mouse TRA V TRAV11D TRAV-F3 mouse TRA V TRAV12-1 TRAV-F4 mouse TRA V TRAV12-2 TRAV-F4 mouse TRA V TRAV12-3 TRAV-F4 mouse TRA V TRAV12D-1 TRAV-F4 mouse TRA V TRAV12D-2 TRAV-F4 mouse TRA V TRAV12N-1 TRAV-F4 mouse TRA V TRAV12N-2 TRAV-F4 mouse TRA V TRAV12N-3 TRAV-F4 mouse TRA V TRAV13-1 TRAV-F5 mouse TRA V TRAV13-2 TRAV-F5 mouse TRA V TRAV13-4/DV7 TRAV-F5 mouse TRA V TRAV13-4DV7 TRAV-F5 mouse TRA V TRAV13-4-DV7 TRAV-F5 mouse TRA V TRAV13-5 TRAV-F5 mouse TRA V TRAV13D-1 TRAV-F5 mouse TRA V TRAV13D-2 TRAV-F5 mouse TRA V TRAV13D-4 TRAV-F5 mouse TRA V TRAV13N-1 TRAV-F5 mouse TRA V TRAV13N-2 TRAV-F5 mouse TRA V TRAV13N-4 TRAV-F5 mouse TRA V TRAV13-3 TRAV-F6 mouse TRA V TRAV13D-3 TRAV-F6 mouse TRA V TRAV13N-3 TRAV-F6 mouse TRA V TRAV14-1 TRAV-F7 mouse TRA V TRAV14-2 TRAV-F7 mouse TRA V TRAV14-3 TRAV-F7 mouse TRA V TRAV14D-1 TRAV-F7 mouse TRA V TRAV14D-2 TRAV-F7 mouse TRA V TRAV14D-3/DV8 TRAV-F7 mouse TRA V TRAV14D-3DV8 TRAV-F7 mouse TRA V TRAV14D-3-DV8 TRAV-F7 mouse TRA V TRAV14N-1 TRAV-F7 mouse TRA V TRAV14N-2 TRAV-F7 mouse TRA V TRAV14N-3 TRAV-F7 mouse TRA V TRAV15-1/DV6-1 TRAV-F8 mouse TRA V TRAV15D-1/DV6D-1 TRAV-F8 mouse TRA V TRAV15-1DV6-1 TRAV-F8 mouse TRA V TRAV15D-1DV6D-1 TRAV-F8 mouse TRA V TRAV15-1-DV6-1 TRAV-F8 mouse TRA V TRAV15D-1-DV6D-1 TRAV-F8 mouse TRA V TRAV15N-1 TRAV-F8 mouse TRA V TRAV15-2/DV6-2 TRAV-F9 mouse TRA V TRAV15D-2/DV6D-2 TRAV-F9 mouse TRA V TRAV15-2DV6-2 TRAV-F9 mouse TRA V TRAV15D-2DV6D-2 TRAV-F9 mouse TRA V TRAV15-2-DV6-2 TRAV-F9 mouse TRA V TRAV15D-2-DV6D-2 TRAV-F9 mouse TRA V TRAV15N-2 TRAV-F9 human TRB J TRBJ1-1 TRBJ-F1 human TRB J TRBJ1-2 TRBJ-F1 human TRB J TRBJ1-6 TRBJ-F1 human TRB J TRBJ1-3 TRBJ-F2 human TRB J TRBJ1-4 TRBJ-F3 human TRB J TRBJ1-5 TRBJ-F3 human TRB J TRBJ2-1 TRBJ-F4 human TRB J TRBJ2-3 TRBJ-F4 human TRB J TRBJ2-5 TRBJ-F4 human TRB J TRBJ2-7 TRBJ-F4 human TRB J TRBJ2-2 TRBJ-F5 human TRB J TRBJ2-4 TRBJ-F5 human TRB J TRBJ2-6 TRBJ-F5 mouse TRB J TRBJ1-1 TRBJ-F1 mouse TRB J TRBJ1-2 TRBJ-F1 mouse TRB J TRBJ1-3 TRBJ-F2 mouse TRB J TRBJ1-4 TRBJ-F3 mouse TRB J TRBJ1-5 TRBJ-F3 mouse TRB J TRBJ2-1 TRBJ-F4 mouse TRB J TRBJ2-5 TRBJ-F4 mouse TRB J TRBJ2-7 TRBJ-F4 mouse TRB J TRBJ2-2 TRBJ-F5 mouse TRB J TRBJ2-3 TRBJ-F6 mouse TRB J TRBJ2-4 TRBJ-F6 human TRB V TRBV10-1 TRBV-F1 human TRB V TRBV10-2 TRBV-F1 human TRB V TRBV10-3 TRBV-F1 human TRB V TRBV3-1 TRBV-F10 human TRB V TRBV4-1 TRBV-F10 human TRB V TRBV4-2 TRBV-F10 human TRB V TRBV4-3 TRBV-F10 human TRB V TRBV30 TRBV-F11 human TRB V TRBV5-1 TRBV-F12 human TRB V TRBV5-4 TRBV-F12 human TRB V TRBV5-5 TRBV-F12 human TRB V TRBV5-6 TRBV-F12 human TRB V TRBV5-8 TRBV-F12 human TRB V TRBV6-1 TRBV-F13 human TRB V TRBV6-2 TRBV-F13 human TRB V TRBV6-3 TRBV-F13 human TRB V TRBV6-4 TRBV-F13 human TRB V TRBV6-5 TRBV-F13 human TRB V TRBV6-6 TRBV-F13 human TRB V TRBV6-8 TRBV-F13 human TRB V TRBV6-9 TRBV-F13 human TRB V TRBV7-2 TRBV-F14 human TRB V TRBV7-3 TRBV-F14 human TRB V TRBV7-4 TRBV-F14 human TRB V TRBV7-6 TRBV-F14 human TRB V TRBV7-7 TRBV-F14 human TRB V TRBV7-8 TRBV-F14 human TRB V TRBV7-9 TRBV-F14 human TRB V TRBV11-1 TRBV-F2 human TRB V TRBV11-2 TRBV-F2 human TRB V TRBV11-3 TRBV-F2 human TRB V TRBV12-3 TRBV-F3 human TRB V TRBV12-4 TRBV-F3 human TRB V TRBV12-5 TRBV-F3 human TRB V TRBV13 TRBV-F4 human TRB V TRBV9 TRBV-F4 human TRB V TRBV14 TRBV-F5 human TRB V TRBV2 TRBV-F5 human TRB V TRBV15 TRBV-F6 human TRB V TRBV16 TRBV-F7 human TRB V TRBV18 TRBV-F7 human TRB V TRBV19 TRBV-F8 human TRB V TRBV24-1 TRBV-F8 human TRB V TRBV25-1 TRBV-F8 human TRB V TRBV27 TRBV-F8 human TRB V TRBV28 TRBV-F8 human TRB V TRBV20-1 TRBV-F9 human TRB V TRBV29-1 TRBV-F9 mouse TRB V TRBV1 TRBV-F1 mouse TRB V TRBV31 TRBV-F1 mouse TRB V TRBV12-1 TRBV-F2 mouse TRB V TRBV12-2 TRBV-F2 mouse TRB V TRBV13-1 TRBV-F3 mouse TRB V TRBV13-2 TRBV-F3 mouse TRB V TRBV13-3 TRBV-F3 mouse TRB V TRBV14 TRBV-F4 mouse TRB V TRBV15 TRBV-F4 mouse TRB V TRBV16 TRBV-F4 mouse TRB V TRBV3 TRBV-F4 mouse TRB V TRBV17 TRBV-F5 mouse TRB V TRBV19 TRBV-F5 mouse TRB V TRBV29 TRBV-F5 mouse TRB V TRBV2 TRBV-F6 mouse TRB V TRBV5 TRBV-F6 mouse TRB V TRBV20 TRBV-F7 mouse TRB V TRBV30 TRBV-F7 mouse TRB V TRBV23 TRBV-F8 mouse TRB V TRBV24 TRBV-F8 mouse TRB V TRBV26 TRBV-F8vdjtools-1.2.1+git20190311/src/main/resources/profile/000755 001750 001750 00000000000 13525023773 023313 5ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/src/main/resources/profile/cdr3contact.txt000644 001750 001750 00000013212 13525023773 026262 0ustar00moellermoeller000000 000000 tcr_chain pos_rel_tcr aa_tcr P pos_max TRA 0 A 0.00928869592929639 5 TRA 0 C 2.60390360455557e-05 5 TRA 0 D 0.0216573941470352 5 TRA 0 E 0.0134864782794367 5 TRA 0 F 0.00472687998863839 5 TRA 0 G 0.0257056448565755 5 TRA 0 H 0.00838304240196786 5 TRA 0 I 0.00705426260251526 5 TRA 0 K 0.00224828477124702 5 TRA 0 L 0.01759722467307 5 TRA 0 M 0.0144492147519317 5 TRA 0 N 0.0224941683142312 5 TRA 0 P 0.014303071092882 5 TRA 0 Q 0.025179849385156 5 TRA 0 R 0.0422455090581023 5 TRA 0 S 0.0155996897402668 5 TRA 0 T 0.0217710011956705 5 TRA 0 V 0.0104739054762194 5 TRA 0 W 0.0531079341346867 5 TRA 0 Y 0.0260254738887417 5 TRA 1 A 0.0752266619594414 5 TRA 1 C 0.000225874376959182 5 TRA 1 D 0.161118283235464 5 TRA 1 E 0.106034051264301 5 TRA 1 F 0.0395753235606941 5 TRA 1 G 0.186271602985477 5 TRA 1 H 0.0683354636574917 5 TRA 1 I 0.0580601483976719 5 TRA 1 K 0.0191755999294152 5 TRA 1 L 0.134507572210838 5 TRA 1 M 0.112847601236979 5 TRA 1 N 0.166426776710937 5 TRA 1 P 0.111819144405764 5 TRA 1 Q 0.183078663177107 5 TRA 1 R 0.276775822503895 5 TRA 1 S 0.120871874317017 5 TRA 1 T 0.161842434076736 5 TRA 1 V 0.084111054767254 5 TRA 1 W 0.327332049457652 5 TRA 1 Y 0.188203285389659 5 TRA 2 A 0.100188294117524 5 TRA 2 C 0.000309143163678507 5 TRA 2 D 0.208164974236594 5 TRA 2 E 0.139674195798031 5 TRA 2 F 0.0533901377553191 5 TRA 2 G 0.238574260354052 5 TRA 2 H 0.0912360594119498 5 TRA 2 I 0.0778048477611229 5 TRA 2 K 0.0260625915792785 5 TRA 2 L 0.175408677406411 5 TRA 2 M 0.148290824218556 5 TRA 2 N 0.214626965252298 5 TRA 2 P 0.146992870318768 5 TRA 2 Q 0.234743416053426 5 TRA 2 R 0.343755545283754 5 TRA 2 S 0.158385415178989 5 TRA 2 T 0.209047884150554 5 TRA 2 V 0.111664729903808 5 TRA 2 W 0.399783339813865 5 TRA 2 Y 0.24088777022482 5 TRA 3 A 0.0682630183808224 5 TRA 3 C 0.000203438140092988 5 TRA 3 D 0.1474716645071 5 TRA 3 E 0.0965162394100222 5 TRA 3 F 0.0357841808202148 5 TRA 3 G 0.170928613463169 5 TRA 3 H 0.0619669852719333 5 TRA 3 I 0.0525952118147982 5 TRA 3 K 0.0173034535612443 5 TRA 3 L 0.122784965080713 5 TRA 3 M 0.10278851419231 5 TRA 3 N 0.152412222193352 5 TRA 3 P 0.101841208731144 5 TRA 3 Q 0.167944392604019 5 TRA 3 R 0.256326357566148 5 TRA 3 S 0.110186352663153 5 TRA 3 T 0.148145311916766 5 TRA 3 V 0.0763929310268443 5 TRA 3 W 0.304721089773996 5 TRA 3 Y 0.172734960634914 5 TRA 4 A 0.01471063354452 5 TRA 4 C 4.14646645776604e-05 5 TRA 4 D 0.0340509631319714 5 TRA 4 E 0.0213060226323383 5 TRA 4 F 0.0075061987135389 5 TRA 4 G 0.0403203733800657 5 TRA 4 H 0.0132834258058682 5 TRA 4 I 0.0111866584311951 5 TRA 4 K 0.00357547050076136 5 TRA 4 L 0.0277332014931833 5 TRA 4 M 0.0228140508124469 5 TRA 4 N 0.0353492844795536 5 TRA 4 P 0.0225852415378203 5 TRA 4 Q 0.0395077632268022 5 TRA 4 R 0.0656303933403083 5 TRA 4 S 0.0246139167291335 5 TRA 4 T 0.0342273080164211 5 TRA 4 V 0.0165760907184249 5 TRA 4 W 0.0819909374951125 5 TRA 4 Y 0.0408144211783998 5 TRB 0 A 0.00940487254010218 5 TRB 0 C 2.6367797747703e-05 5 TRB 0 D 0.0219248463601852 5 TRB 0 E 0.0136544342406852 5 TRB 0 F 0.00478627619416857 5 TRB 0 G 0.0260217601639685 5 TRB 0 H 0.00848798876960896 5 TRB 0 I 0.00714269394695688 5 TRB 0 K 0.00227660711846935 5 TRB 0 L 0.0178154499465 5 TRB 0 M 0.0146289825087438 5 TRB 0 N 0.0227717135257954 5 TRB 0 P 0.0144810473409101 5 TRB 0 Q 0.0254896678838451 5 TRB 0 R 0.0427560974364319 5 TRB 0 S 0.0157935415860133 5 TRB 0 T 0.0220398247632856 5 TRB 0 V 0.0106047471953027 5 TRB 0 W 0.0537424413114943 5 TRB 0 Y 0.0263454159423881 5 TRB 1 A 0.076104193139088 5 TRB 1 C 0.000228725627568298 5 TRB 1 D 0.162821346342106 5 TRB 1 E 0.107229285597013 5 TRB 1 F 0.040054989189022 5 TRB 1 G 0.188180900844237 5 TRB 1 H 0.0691386178449433 5 TRB 1 I 0.0587501511610779 5 TRB 1 K 0.0194130120325635 5 TRB 1 L 0.135974946275307 5 TRB 1 M 0.114109835546801 5 TRB 1 N 0.168174702921952 5 TRB 1 P 0.113071341299558 5 TRB 1 Q 0.184962672298132 5 TRB 1 R 0.279294391315149 5 TRB 1 S 0.122211498297894 5 TRB 1 T 0.163551659305562 5 TRB 1 V 0.0850826887442632 5 TRB 1 W 0.330100685270387 5 TRB 1 Y 0.190127756890571 5 TRB 2 A 0.101325102747377 5 TRB 2 C 0.000313045201198516 5 TRB 2 D 0.210240700949538 5 TRB 2 E 0.14118873904522 5 TRB 2 F 0.0540278241820158 5 TRB 2 G 0.240860978672255 5 TRB 2 H 0.0922817070869113 5 TRB 2 I 0.0787098941365974 5 TRB 2 K 0.0263829775759213 5 TRB 2 L 0.177230880695216 5 TRB 2 M 0.149882523398611 5 TRB 2 N 0.216749489890943 5 TRB 2 P 0.14857306801016 5 TRB 2 Q 0.237004845117602 5 TRB 2 R 0.346591519308421 5 TRB 2 S 0.160065103032993 5 TRB 2 T 0.211130067401875 5 TRB 2 V 0.112915417435096 5 TRB 2 W 0.402797829748895 5 TRB 2 Y 0.243189581022681 5 TRB 3 A 0.0690653842305298 5 TRB 3 C 0.000206006232632468 5 TRB 3 D 0.149056109898175 5 TRB 3 E 0.0976159023635918 5 TRB 3 F 0.0362196294471689 5 TRB 3 G 0.172714024441499 5 TRB 3 H 0.0627003273458509 5 TRB 3 I 0.0532239375632743 5 TRB 3 K 0.0175181007074188 5 TRB 3 L 0.12414279778793 5 TRB 3 M 0.103951418325762 5 TRB 3 N 0.154040158134929 5 TRB 3 P 0.102994625760968 5 TRB 3 Q 0.169705012855436 5 TRB 3 R 0.25872541224925 5 TRB 3 S 0.111422558699725 5 TRB 3 T 0.149735723808628 5 TRB 3 V 0.0772829299831389 5 TRB 3 W 0.307385871419359 5 TRB 3 Y 0.174535267499415 5 TRB 4 A 0.0148936045541822 5 TRB 4 C 4.19881778420967e-05 5 TRB 4 D 0.0344660745769951 5 TRB 4 E 0.0215692313410529 5 TRB 4 F 0.00760025210747208 5 TRB 4 G 0.0408086855541307 5 TRB 4 H 0.0134488874952046 5 TRB 4 I 0.011326302060466 5 TRB 4 K 0.00362045115554733 5 TRB 4 L 0.0280735322387743 5 TRB 4 M 0.0230954496545545 5 TRB 4 N 0.0357796373413648 5 TRB 4 P 0.0228638841764428 5 TRB 4 Q 0.0399866440945899 5 TRB 4 R 0.0664040205726974 5 TRB 4 S 0.0249169498532816 5 TRB 4 T 0.0346444921577887 5 TRB 4 V 0.0167818691072237 5 TRB 4 W 0.0829402981546025 5 TRB 4 Y 0.0413084591230118 5 vdjtools-1.2.1+git20190311/src/main/resources/profile/aa_property_table.txt000644 001750 001750 00000004746 13525023773 027563 0ustar00moellermoeller000000 000000 ## references: PMID:18946038, PMID:14872534, PMID:16301309, http://arxiv.org/pdf/1502.03136v2.pdf amino_acid hydropathy charge polarity volume count strength mjenergy kf1 kf2 kf3 kf4 kf5 kf6 kf7 kf8 kf9 kf10 rim surface turn alpha beta core disorder A 1.8 0 0 67 1 0 -2.8455 -1.56 -1.67 -0.97 -0.27 -0.93 -0.78 -0.2 -0.08 0.21 -0.48 0.047 0.065 0.78 1.29 0.9 0.049 0 C 2.5 0 0 86 1 1 -3.782 0.12 -0.89 0.45 -1.05 -0.71 2.41 1.52 -0.69 1.13 1.1 0.015 0.015 0.8 1.11 0.74 0.02 -1 D -3.5 -1 1 91 1 0 -2.116 0.58 -0.22 -1.58 0.81 -0.92 0.15 -1.52 0.47 0.76 0.7 0.071 0.074 1.41 1.04 0.72 0.051 1 E -3.5 -1 1 109 1 0 -2.141 -1.45 0.19 -1.61 1.17 -1.31 0.4 0.04 0.38 -0.35 -0.12 0.094 0.089 1 1.44 0.75 0.051 1 F 2.8 0 0 135 1 1 -5.017 -0.21 0.98 -0.36 -1.43 0.22 -0.81 0.67 1.1 1.71 -0.44 0.021 0.029 0.58 1.07 1.32 0.051 -1 G -0.4 0 0 48 1 0 -2.499 1.46 -1.96 -0.23 -0.16 0.1 -0.11 1.32 2.36 -1.66 0.46 0.071 0.07 1.64 0.56 0.92 0.06 1 H -3.2 1 1 118 1 0 -2.927 -0.41 0.52 -0.28 0.28 1.61 1.01 -1.85 0.47 1.13 1.63 0.022 0.025 0.69 1.22 1.08 0.034 -1 I 4.5 0 0 124 1 1 -4.641 -0.73 -0.16 1.79 -0.77 -0.54 0.03 -0.83 0.51 0.66 -1.78 0.032 0.035 0.51 0.97 1.45 0.047 -1 K -3.9 1 1 135 1 0 -1.789 -0.34 0.82 -0.23 1.7 1.54 -1.62 1.15 -0.08 -0.48 0.6 0.105 0.08 0.96 1.23 0.77 0.05 1 L 3.8 0 0 124 1 1 -5.023 -1.04 0 -0.24 -1.1 -0.55 -2.05 0.96 -0.76 0.45 0.93 0.052 0.063 0.59 1.3 1.02 0.078 -1 M 1.9 0 0 124 1 1 -4.1915 -1.4 0.18 -0.42 -0.73 2 1.52 0.26 0.11 -1.27 0.27 0.017 0.016 0.39 1.47 0.97 0.027 1 N -3.5 0 1 96 1 0 -2.349 1.14 -0.07 -0.12 0.81 0.18 0.37 -0.09 1.23 1.1 -1.73 0.062 0.053 1.28 0.9 0.76 0.058 1 P -1.6 0 0 90 1 0 -2.443 2.06 -0.33 -1.15 -0.75 0.88 -0.45 0.3 -2.3 0.74 -0.28 0.052 0.054 1.91 0.52 0.64 0.051 1 Q -3.5 0 1 114 1 0 -2.2505 -0.47 0.24 0.07 1.1 1.1 0.59 0.84 -0.71 -0.03 -2.33 0.053 0.051 0.97 1.27 0.8 0.051 1 R -4.5 1 1 148 1 0 -2.402 0.22 1.27 1.37 1.87 -1.7 0.46 0.92 -0.39 0.23 0.93 0.068 0.059 0.88 0.96 0.99 0.066 1 S -0.8 0 1 73 1 0 -2.308 0.81 -1.08 0.16 0.42 -0.21 -0.43 -1.89 -1.15 -0.97 -0.23 0.072 0.071 1.33 0.82 0.95 0.057 1 T -0.7 0 1 93 1 0 -2.6145 0.26 -0.7 1.21 0.63 -0.1 0.21 0.24 -1.15 -0.56 0.19 0.064 0.065 1.03 0.82 1.21 0.064 0 V 4.2 0 0 105 1 1 -4.093 -0.74 -0.71 2.04 -0.4 0.5 -0.81 -1.07 0.06 -0.46 0.65 0.048 0.048 0.47 0.91 1.49 0.049 -1 W -0.9 0 0 163 1 1 -4.1375 0.3 2.1 -0.72 -1.57 -1.16 0.57 -0.48 -0.4 -2.3 -0.6 0.007 0.012 0.75 0.99 1.14 0.022 -1 Y -1.3 0 1 141 1 1 -3.7505 1.38 1.48 0.8 -0.56 0 -0.68 -0.31 1.03 -0.05 0.53 0.032 0.033 1.05 0.72 1.25 0.07 -1vdjtools-1.2.1+git20190311/src/main/resources/rscripts/000755 001750 001750 00000000000 13525023773 023524 5ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/src/main/resources/rscripts/install.r000644 001750 001750 00000000600 13525023773 025351 0ustar00moellermoeller000000 000000 # This simple script automates R dependency installation for VDJtools args <- commandArgs(TRUE) libPath <- args[1] # iterate over dependencies for (i in 2:length(args)) { # install packages to local library, use 0-Cloud mirror # note that local library is set as default search path path by RUtil install.packages(args[i], lib=libPath, repos="http://cran.rstudio.com/") }vdjtools-1.2.1+git20190311/src/main/resources/rscripts/tracking_stackplot.r000644 001750 001750 00000006273 13525023773 027605 0ustar00moellermoeller000000 000000 # data input args <- commandArgs(TRUE) require(ggplot2); require(reshape); require(gridExtra); require(grid) label <- args[1] #"time since HSCT, months" points <- args[2] #"-48,-0.5,4,10,25,37,72" file_in <- args[3] #"luc_table_collapsed.txt" file_out <- args[4] #"out.pdf" # # load time points, create some auxillary variables x <- apply(as.vector(read.table(text=points, sep=",")), 1, as.numeric) n <- length(x) # load data #df <- data.frame(read.delim(file_in)) df <- read.table(file_in, comment="", sep = "\t", header = TRUE) xcols <- (ncol(df) - n + 1):ncol(df) fcols <- 1:(ncol(df) - n) xlbls <- colnames(df)[xcols] # convert abundance columns to numeric df[, xcols] <- apply(df[, xcols], 2, as.numeric) # set up Non-overlapping and Not-shown df$peak[nrow(df)-1] <- -1 df$peak[nrow(df)] <- -2 # for label placement cs <- cumsum(df[,xcols]) peak <- df$peak + 1 peak[peak < 1] <- NA lbl.peak <- as.vector(df[!is.na(peak), "peak"]) lbl.txt <- as.vector(df[!is.na(peak), "cdr3aa"]) lbl.x <- as.vector(na.omit(x[peak])) lbl.y <- sapply(as.vector(na.omit(cs[cbind(1:nrow(cs), peak)])), as.numeric) lbl.max <- sapply(as.vector(na.omit(df[cbind(1:nrow(df), xcols[peak])])), as.numeric) lbl.p <- as.numeric(as.vector(df[!is.na(peak), "sampling.p"]))+1e-20 lbl <- data.frame(txt = lbl.txt, x = lbl.x, y = lbl.y, max = lbl.max, p.adj = lbl.p) # reshape data df.m <- melt(df, id = fcols) # replace sample ids (factor) by time (numeric) ind <- match(df.m$variable, xlbls) df.m$variable <- x[ind] df.m$sign <- paste(df.m$cdr3nt, df.m$v, df.m$d, df.m$j, sep="_") pal <- colorRampPalette(c("#2b8cbe", "#e0f3db", "#fdbb84")) #draw if (grepl("\\.pdf$",file_out)){ pdf(file_out) } else if (grepl("\\.png$",file_out)) { png(file_out, width = 3.25, height = 3.25, units = "in", res = 1200, pointsize = 4) } else { stop('Unknown plotting format') } # prepare plot g<-ggplot() + geom_area(data = df.m, aes(variable, value, group = sign, fill = factor(peak)), colour = "gray25", position = 'stack', size = 0) + scale_fill_manual( name = "Peak position", breaks = c(-2, -1, 0:(n-1)), labels = c("Non-overlapping", "Not-shown", x), values = c("grey50", "grey70", pal(n)) ) + scale_x_continuous(expand = c(0,0), limit = c(min(x), max(x)), breaks = x) + scale_y_continuous(expand = c(0,0)) + theme_bw() + xlab(label) + ylab("abundance") + theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust = 0.5), panel.border = element_blank()) + geom_text(data = subset(lbl, peak == 1), aes(x, y, label = txt, size = max, alpha = -log10(p.adj)), color = "gray10", hjust = 0, vjust = 0.5) + geom_text(data = subset(lbl, peak > 1 & peak < n), aes(x, y, label = txt, size = max, alpha = -log10(p.adj)), color = "gray10", hjust = 0.5, vjust = 0.5) + geom_text(data = subset(lbl, peak == n), aes(x, y, label = txt, size = max, alpha = -log10(p.adj)), color = "gray10", hjust = 1, vjust = 0.5) + guides(size = F) # disable label cropping gg_table <- ggplot_gtable(ggplot_build(g)) gg_table$layout$clip[gg_table$layout$name=="panel"] <- "off" grid.draw(gg_table) dev.off()vdjtools-1.2.1+git20190311/src/main/resources/rscripts/vexpr_plot.r000644 001750 001750 00000006650 13525023773 026120 0ustar00moellermoeller000000 000000 require(gplots); require(RColorBrewer); require(ggplot2); require(plotrix) args<-commandArgs(TRUE) input_file <- args[1] #"ms.segments.V2.txt" v_col_count <- as.numeric(args[2]) lbl_col <- as.numeric(args[3]) fac_col <- as.numeric(args[4]) cont_factor <- as.logical(args[5]) # continuous factor? file_out <- args[6] if (lbl_col < 1) { lbl_col = 1 # use sample id if not specified } color_by_factor <- fac_col > 0 # any color legend for samples? # read-in data and pre-process df<-read.table(input_file, header=T, sep="\t", comment="") vcols<-(ncol(df)-v_col_count + 1):ncol(df) df[, vcols] <- apply(df[, vcols], 2, as.numeric) x <- as.matrix(df[, vcols]) # prepare palletes and factor levels if (color_by_factor) { factor_name <- colnames(df)[fac_col] if (cont_factor) { df[, fac_col] <- as.numeric(df[,fac_col]) # base pallete, to be used in legend scol <- colorRampPalette(c("#feb24c", "#31a354", "#2b8cbe"))(10) # color vector for plot pcol <- scol[cut(df[,fac_col], 10)] } else { df[, fac_col] <- as.factor(df[, fac_col]) fu <- levels(df[, fac_col]) nlevels <- length(fu) # base pallete, to be used in legend scol <- colorRampPalette(brewer.pal(nlevels, "Set2"))(nlevels) # color vector for plot pcol <- scol[df[,fac_col]] } } # plotting function for simplicity my.plot <- function(...) { heatmap.2(t(x), na.rm=F, labCol = df[,lbl_col], na.col="grey50", col=colorRampPalette(c("#2f98ce", "#e0f3db", "#f47104")), density.info="none", trace="none",scale="column", ...) } custom.dev <- function(fname) { if (grepl("\\.pdf$",fname)){ pdf(fname) } else if (grepl("\\.png$",fname)) { png(fname, width = 3.25, height = 3.25, units = "in", res = 1200, pointsize = 4) } else { stop('Unknown plotting format') } } if (color_by_factor) { custom.dev(file_out) # layout plot fig <- c(0.05, 0.75, 0, 1.0) mar <- c(0, 0, 0, 0) layout(matrix(1:2, ncol=2), width = c(2, 0.1), height = c(1, 1)) par(fig = fig, mar = mar, xpd = NA) # this ensures labels are not cut # plot with coloring columns my.plot(ColSideColors=pcol) # draw a separate legend fig <- c(0.85, 1.00, 0, 1.0) par(fig = fig, mar = c(0, 0, 0, 0), xpd = NA, new=TRUE) if (cont_factor) { # set colorbar pos f <- 2 ux <- grconvertX(c(0.48 - 0.05 * f, 0.48 + 0.05 * f), from = "npc", to = "user") uy <- grconvertY(c(0.87 - 0.07, 0.87 + 0.07), from = "npc", to = "user") # gradient legend fmin <- min(df[, fac_col]) fmax <- max(df[, fac_col]) color.legend(ux[1], uy[1], ux[2], uy[2], legend = c(fmin, (fmin+fmax) / 2, fmax), rect.col = scol, gradient = "y", align="rb") # position title uy <- grconvertY(0.96, from = "npc", to = "user") text(0.5, uy, factor_name, adj = c(0.5, 0.0)) } else { # vanilla legend for discrete factor legend("top", "(x,y)", fill = scol, pch = '', box.lwd = 0, title = factor_name, legend = fu) } dev.off() } else { custom.dev(file_out) # layout plot fig <- c(0.05, 0.95, 0, 1.0) mar <- c(0, 0, 0, 0) layout(matrix(1:2, ncol=2), width = c(2, 0.1), height = c(1, 1)) par(fig = fig, mar = mar, xpd = NA) # this ensures labels are not cut my.plot() dev.off() }vdjtools-1.2.1+git20190311/src/main/resources/rscripts/intersect_pair_scatter.r000644 001750 001750 00000011127 13525023773 030451 0ustar00moellermoeller000000 000000 # # Prints a scatterplot with marginal distributions # Note that while scatterplot is based only on vector of species present in sample intersection, # marginal plots are built based on complete datasets # # Adapted from R-bloggers (http://www.r-bloggers.com/ggplot2-cheatsheet-for-visualizing-distributions/) # With minor additions based on various StackOverflow replies # #options(error=traceback) require(ggplot2); require(grid); require(gridExtra); require(reshape); require(grid) # data input args<-commandArgs(TRUE) sample1_id <- args[1] sample2_id <- args[2] file_xy <- args[3] file_xx <- args[4] file_yy <- args[5] file_out <- args[6] # transform data to_double = function(x) { log10(as.numeric(as.character(x))+1e-7) } xy <- read.table(file_xy, header=T) xy$x <- to_double(xy$x) xy$y <- to_double(xy$y) xx <- read.table(file_xx, header=T) xx$xx <- to_double(xx$xx) #xx <- rbind(subset(melt(xy),variable=="x"), melt(xx)) yy <- read.table(file_yy, header=T) yy$yy <- to_double(yy$yy) #yy <- rbind(subset(melt(xy),variable=="y"), melt(yy)) xmin <- min(xx$xx, yy$yy) # For regression info plotting. source: http://goo.gl/K4yh lm_eqn = function(df){ m = lm(y ~ x, df); eq <- substitute(italic(y) == a + b %.% italic(x)*","~~italic(r)^2~"="~r2, list(a = format(coef(m)[1], digits = 2), b = format(coef(m)[2], digits = 2), r2 = format(summary(m)$r.squared, digits = 3))) as.character(as.expression(eq)) } # plotting if (grepl("\\.pdf$",file_out)){ pdf(file_out) } else if (grepl("\\.png$",file_out)) { png(file_out, width = 3.25, height = 3.25, units = "in", res = 1200, pointsize = 4) } else { stop('Unknown plotting format') } # placeholder (top right) empty <- ggplot() + geom_point(aes(1,1), colour="white") + theme( plot.background = element_blank(), panel.grid.major = element_blank(), panel.grid.minor = element_blank(), panel.border = element_blank(), panel.background = element_blank(), axis.title.x = element_blank(), axis.title.y = element_blank(), axis.text.x = element_blank(), axis.text.y = element_blank(), axis.ticks = element_blank(), plot.margin = unit(c(3, -5.5, 4, 3), "mm") ) # scatterplot scatter <- ggplot() + theme_bw() + geom_point(data = xy, aes(x, y, size = (x + y) / 2), fill = "red", colour = "black", alpha = 0.4, pch = 21 ) + geom_text(data = data.frame(), aes(x = xmin, y = 0, label = lm_eqn(xy)), hjust = 0, parse = TRUE) + stat_smooth(data = xy, aes(x, y, weight = 10^((x + y) / 2)), color= "gray25", method = "lm", fullrange = T) + scale_x_continuous(limit = c(xmin, 0), expand = c(0, 0.1)) + scale_y_continuous(limit = c(xmin, 0), expand = c(0, 0.1)) + scale_size_continuous(guide = "none", range = c(1, 10)) + xlab(sample1_id) + ylab(sample2_id) + theme(legend.position = c(1, 1), legend.justification = c(1, 1)) # marginal density of x plot_top <- ggplot() + stat_density(data=xx, aes(x=xx, weight=10^xx/sum(10^xx), y = ..scaled..), fill = "grey50", colour = "gray25", size = 0.1, alpha = 0.4, adjust = 1) + stat_density(data=xy, aes(x=x, weight=10^x/sum(10^x), y = ..scaled..), fill = "red", colour = "gray25", size = 0.1, alpha = 0.4, adjust = 1) + scale_x_continuous(limit = c(xmin, 0), expand = c(0, 0.25)) + ylab("") + theme_bw() + theme(legend.position = "none", axis.title.x = element_blank(), axis.text = element_blank(), axis.ticks = element_blank(), panel.grid = element_blank()) # marginal density of y plot_right <- ggplot() + stat_density(data=yy, aes(x=yy, weight=10^yy/sum(10^yy), y = ..scaled..), fill = "grey50", colour = "gray25", size = 0.1, alpha = 0.4, adjust = 1) + stat_density(data=xy, aes(x=y, weight=10^y/sum(10^y), y = ..scaled..), fill = "red", colour = "gray25", size = 0.1, alpha = 0.4, adjust = 1) + scale_x_continuous(limit = c(xmin, 0), expand = c(0, 0.2)) + coord_flip() + ylab("") + theme_bw() + theme(legend.position = "none", axis.title.y = element_blank(), axis.text = element_blank(), axis.ticks = element_blank(), panel.grid = element_blank()) # arrange the plots together, with appropriate height and width for each row and column grid.arrange(plot_top, empty, scatter, plot_right, ncol = 2, nrow = 2, widths = c(4, 1), heights = c(1, 4)) dev.off()vdjtools-1.2.1+git20190311/src/main/resources/rscripts/intersect_pair_area.r000644 001750 001750 00000005660 13525023773 027721 0ustar00moellermoeller000000 000000 # # Prints a stacked area plot for two samples # args<-commandArgs(TRUE) require(ggplot2); require(RColorBrewer) # data input sample1_id <- args[1] sample2_id <- args[2] file_xy <- args[3] # should contain cdr3nt, cdr3aa cols; two last columns should correspond to clonotype freq in sample pair file_out <- args[4] # transform data getcol_n = function(lst, col){ apply(lst[col], 2, as.numeric) } getcol_c = function(lst, col){ apply(lst[col], 2, as.character) } table <- read.delim(file_xy, sep="\t", quote="") n <- nrow(table) m <- ncol(table) table <- table[n:1, ] # reorder, bring non-overlapping / not-shown to the top x1 <- getcol_n(table, m - 1) x2 <- getcol_n(table, m) # here we do change sample labels and further refer to them as s1 and s2 # otherwise R will re-order samples alphabetically by name ... df <- data.frame(cdr3nt = rep(getcol_c(table, "cdr3nt"), 2), cdr3aa = rep(getcol_c(table, "cdr3aa"), 2), v = rep(getcol_c(table, "v"), 2), d = rep(getcol_c(table, "d"), 2), j = rep(getcol_c(table, "j"), 2), sample = rep(c("s1", "s2"), each = n), expr = c(x1, x2), peak = rep(getcol_n(table, "peak"), 2)) df$sign <- paste(df$cdr3nt, df$v, df$d, df$j, sep="_") # trick to add clonotype labels with geom_text, as suggested at StackExchange df.0 <- subset(df, sample == "s1") df.1 <- subset(df, sample == "s2") #dd <- dd[with(dd, order(cdr3nt, levels(dd$cdr3aa))), ] df.0$cum <- cumsum(df.0$expr) df.0$cum <- (c(0, df.0$cum[0:(n-1)]) + df.0$cum) / 2 df.1$cum <- cumsum(df.1$expr) df.1$cum <- (c(0, df.1$cum[0:(n-1)]) + df.1$cum) / 2 # custom palette (color blind) gs.pal <- colorRampPalette(c("#2b8cbe", "#e0f3db", "#fdbb84")) # plotting emax <- max(df$expr) if (grepl("\\.pdf$",file_out)){ pdf(file_out) } else if (grepl("\\.png$",file_out)) { png(file_out, width = 3.25, height = 3.25, units = "in", res = 1200, pointsize = 4) } else { stop('Unknown plotting format') } ggplot() + geom_area(data = df, aes(x = sample, y = expr, fill = cdr3nt, group = sign), colour = "grey25", size = 0, position="stack") + ylab("cumulative abundance") + xlab("") + scale_x_discrete(expand = c(0, 0), labels=c(sample1_id, sample2_id)) + scale_y_continuous(expand = c(0, 0)) + scale_fill_manual(values = c("grey50", "grey25", gs.pal(n - 2))) + theme_bw() + theme(legend.position = "none") + #, axis.text.x = element_text(angle=90, vjust=0.5)) + geom_text(data = subset(df.0, peak == 0), aes(x = "s1", y = cum, label = cdr3aa, size = expr, alpha = rank(expr)), hjust = 0, vjust = 1) + geom_text(data = subset(df.1, peak == 1), aes(x = "s2", y = cum, label = cdr3aa, size = expr, alpha = rank(expr)), hjust = 1, vjust = 1) + scale_size_continuous(guide = "none", range = c(3, 10)) dev.off()vdjtools-1.2.1+git20190311/src/main/resources/rscripts/quantile_stats.r000644 001750 001750 00000004704 13525023773 026754 0ustar00moellermoeller000000 000000 require(ggplot2); require(RColorBrewer) args<-commandArgs(TRUE) file_in <- args[1] file_out <- args[2] df <- read.table(file_in, header=T, comment="", sep = "\t") df$value <- as.numeric(as.character(df$value)) # this routine prepares data for donut plot representation makesub <- function(t) { tmp <- subset(df, type %in% t) tmp$vmax = cumsum(tmp$value) tmp$vmin = c(0, head(tmp$vmax, n=-1)) tmp } # select color for different arcs makecol <- function(d, pal) { col <- character(nrow(d)) p <- colorRampPalette(pal)(nrow(d)) for (i in 1:nrow(d)) { names(col)[i] <- as.character(d$name[i]) col[i] <- p[i] } col } # format three levels of data # set - singletons, doubletons & high-order # quantile - q1..q5 # top - top1 clonotype, top2 clonotype... df.1 <- makesub("set") df.2 <- makesub("quantile") df.3 <- makesub("top") col <- makecol(df.1, brewer.pal(3,"RdYlBu")) col <- c(col, makecol(df.2, rev(brewer.pal(3,"Oranges")))) col <- c(col, makecol(df.3, rev(brewer.pal(3,"OrRd")))) if (grepl("\\.pdf$",file_out)){ pdf(file_out) } else if (grepl("\\.png$",file_out)) { png(file_out, width = 3.25, height = 3.25, units = "in", res = 1200, pointsize = 4) } else { stop('Unknown plotting format') } ggplot() + geom_rect(data = df.1, colour="grey30", aes(fill=name, ymax=vmax, ymin=vmin, xmax=2,xmin=1)) + geom_rect(data = df.2, colour="grey30", aes(fill=name, ymax=vmax, ymin=vmin, xmax=4,xmin=2)) + geom_rect(data = df.3, colour="grey30", aes(fill=name, ymax=vmax, ymin=vmin, xmax=7,xmin=4)) + # here we also rotate text to point to right direction geom_text(data = df.1, aes(x=1.5, y = value/2 + c(0, cumsum(value)[-length(value)]), angle=180-..y..*360, label = name), size=4)+ geom_text(data = df.2, aes(x=3.0, y = value/2 + c(0, cumsum(value)[-length(value)]), angle=90-..y..*360, label = name), size=4)+ geom_text(data = df.3, aes(x=4, y = value/2 + c(0, cumsum(value)[-length(value)]), angle=90-..y..*360, label = name, size = log10(value)), hjust=0.0)+ coord_polar(theta="y") + scale_x_continuous(expand=c(0,0),limits=c(0, 7)) + scale_fill_manual(values=col)+ xlab("") + ylab("")+ theme_bw() + theme(panel.grid=element_blank()) + theme(panel.border=element_blank()) + theme(axis.text=element_blank()) + theme(axis.ticks=element_blank()) + theme(legend.position="none") dev.off()vdjtools-1.2.1+git20190311/src/main/resources/rscripts/plot_time_series.r000644 001750 001750 00000001721 13525023773 027256 0ustar00moellermoeller000000 000000 args<-commandArgs(TRUE) label <- args[1] input <- args[2] file_out <- args[3] require(ggplot2); require(reshape) # preprocess data tbl <- read.delim(input, sep = "\t") tbl <- apply(tbl, 1:2, as.numeric) df <- data.frame(tbl) df <- melt(df, id = 'time', variable_name = 'series') # plot series as facets if (grepl("\\.pdf$",file_out)){ pdf(file_out) } else if (grepl("\\.png$",file_out)) { png(file_out, width = 4.25, height = 2.25, units = "in", res = 1200, pointsize = 4) } else { stop('Unknown plotting format') } ggplot(df, aes(time, value)) + geom_point(aes(colour = series)) + geom_step(aes(colour = series)) + scale_x_continuous(limit = c(min(df$time), max(df$time)), breaks = df$time) + scale_y_continuous(limit = c(0, 1)) + facet_grid(series ~ .) + xlab(label) + ylab("") + guides(colour=FALSE) dev.off()vdjtools-1.2.1+git20190311/src/main/resources/rscripts/rarefaction_curve.r000644 001750 001750 00000006121 13525023773 027410 0ustar00moellermoeller000000 000000 args<-commandArgs(TRUE) require(reshape); require(ggplot2); require(gridExtra); require(FField); require(grid) file_in <- args[1] #"rarefaction.strict.txt" lbl_col <- as.integer(args[2]) #5 fac_col <- as.integer(args[3]) #6 num_fac <- as.logical(args[4]) #"F" add_lbl <- as.logical(args[5]) #"T" wide <- as.logical(args[6]) #"F" lab_exact <- as.logical(args[7]) #"F" file_out <- args[8] # "rarefaction.strict.pdf" df <- read.table(file_in,header=T,comment="",sep="\t") # get name of label and factor fac_name<-names(df)[fac_col] # make sure that we parse numeric factor as needed if (num_fac) { df[,fac_col] <- as.numeric(as.character(df[,fac_col])) } # rename columns so we can access them # this is done as some column names could be quite complex to pass by command line, # e.g. #1_label will be converted to X1.label, etc # we also protect from column name collisions df <- data.frame(dataset = df[,1], fac = df[,fac_col], lbl = df[,lbl_col], type = df[,ncol(df)], ciU = df[,ncol(df)-1], ciL = df[,ncol(df)-2], mean = df[,ncol(df)-3], x = df[,ncol(df)-4]) # those are the last points with observed diversity # we'll highlight them with point and (if required) a label df.p <- subset(df, type==2 & x==max(df$x)) if (lab_exact) { df.l <- subset(df, type==1) } else { df.l <- df.p } if (add_lbl) { # We absolutely sure need this trick as labels are going to overlap leading to huge mess.. x.fact <- 100 / max(df.l$x) y.fact <- 100 / max(df.l$mean) coords <- FFieldPtRep(coords = cbind(df.l$x * x.fact, df.l$mean * y.fact), iter.max = 1000) df.l$x <- coords$x / x.fact df.l$mean <- coords$y / y.fact } else { df.l <- df.l[0, ] } # interpolated & extrapolated df.i <- subset(df, type==0) df.o <- subset(df, type==1) df.e <- subset(df, type==2) g <- ggplot(df, aes(x=x, y=mean, group=dataset)) + geom_point(data=df.o, aes(colour=fac)) + geom_line(data=df.i, aes(colour=fac), linetype="solid") + geom_line(data=df.e, aes(colour=fac), linetype="dashed") + geom_ribbon(aes(ymin=ciL, ymax=ciU), alpha=0.2) + xlab("Sample size") + ylab("Diveristy") + labs(colour=fac_name) + scale_x_continuous(oob=scales::rescale_none) + scale_y_continuous(oob=scales::rescale_none) + theme_bw() # add corresponding fancy axis if (num_fac) { g <- g + scale_colour_gradient2(low="#feb24c", mid="#31a354", high="#2b8cbe", midpoint=(max(df$fac) + min(df$fac))/2) } else if (fac_col > 1) { g <- g + scale_colour_brewer(palette="Set2") } g <- g + geom_text(data=df.l, aes(label=lbl), color="black", fontface = "plain", hjust=1.0, vjust=0.5, cex=2.5) if (grepl("\\.pdf$",file_out)){ pdf(file_out) } else if (grepl("\\.png$",file_out)) { png(file_out, width = 4.25, height = 2.25, units = "in", res = 1200, pointsize = 4) } else { stop('Unknown plotting format') } if (wide) { # wide plot layout grid.arrange(g, ncol=1, nrow=2) } else { g } dev.off()vdjtools-1.2.1+git20190311/src/main/resources/rscripts/pairwise_distance_plot.r000644 001750 001750 00000005434 13525023773 030450 0ustar00moellermoeller000000 000000 require(circlize); require(reshape2); require(RColorBrewer) args<-commandArgs(TRUE) file_in <- args[1] file_out <- args[2] df <- read.table(file_in, header=T, comment="", quote="") df[,] <- apply(df[,], 2, as.character) df <- data.frame(sample1 = c(df$X1_sample_id, df$X2_sample_id), sample2 = c(df$X2_sample_id, df$X1_sample_id), count = as.numeric(c(df$count12, df$count21)), frequency = as.numeric(c(df$freq12, df$freq21)), diversity = as.numeric(c(df$div12, df$div21))) # equate the number of characters for visualizaiton adjust_labels <- function(mat) { rn <- rownames(mat) cn <- colnames(mat) maxrn <- max(nchar(rn)) maxcn <- max(nchar(cn)) for(i in seq_len(length(rn))) { rn[i] <- paste(rn[i], paste(rep(" ", maxrn - nchar(rn[i])), collapse = '')) } for(i in seq_len(length(cn))) { cn[i] <- paste(cn[i], paste(rep(" ", maxcn - nchar(cn[i])), collapse = '')) } rownames(mat) <- rn colnames(mat) <- cn } # plotting function render_plot <- function(var) { mat <- acast(df, sample1 ~ sample2, value.var=var) diag(mat) <- 0 #diag(mat) <- df[df$sample1==rownames(mat),"f1"] * (nrow(df) / 2 - 1) - # total possible overlap freq # rowSums(mat, na.rm=T) # overlapped freq, note that row -> col is default direction for circlize adjust_labels(mat) # viz using circlize #circos.par(gap.degree = c(rep(3, nrow(mat)-1), 10, rep(3, ncol(mat)-1), 10), start.degree = 5) rcols <- rep(brewer.pal(12, "Paired"), nrow(mat)/12 + 1)[1:nrow(mat)] ccols <- rep(brewer.pal(12, "Paired"), ncol(mat)/12 + 1)[1:ncol(mat)] names(rcols) <- sort(rownames(mat)) names(ccols) <- sort(colnames(mat)) chordDiagram(mat, annotationTrack = "grid", grid.col = c(rcols, ccols), preAllocateTracks = list(track.height = 0.2), transparency = 0.5) circos.trackPlotRegion(track.index = 1, bg.border = NA, panel.fun = function(x, y) { sector.name = get.cell.meta.data("sector.index") xlim = get.cell.meta.data("xlim") ylim = get.cell.meta.data("ylim") circos.text(mean(xlim), ylim[1], cex = 0.5, sector.name, facing = "clockwise", adj = c(0, 0.5)) } ) } if (grepl("\\.pdf$",file_out)){ pdf(file_out) } else if (grepl("\\.png$",file_out)) { png(file_out, width = 3.25, height = 3.25, units = "in", res = 1200, pointsize = 4) } else { stop('Unknown plotting format') } vars <- c("count", "frequency", "diversity") layout(t(matrix(c(0,0,0,1,2,3,0,0,0),3,3))) for(var in vars) { par(mar = c(0.5, 0.5, 0.5, 0.5)) render_plot(var) title(var) circos.clear() } dev.off() vdjtools-1.2.1+git20190311/src/main/resources/rscripts/fancy_spectratype.r000644 001750 001750 00000003016 13525023773 027432 0ustar00moellermoeller000000 000000 # # Prints a stacked histogram # args<-commandArgs(TRUE) require(ggplot2); require(reshape); require(RColorBrewer) # data input file_in <- args[1] file_out <- args[2] label <- args[3] gradient <- args[4] # transform data df <- read.table(file_in, sep ="\t", header = TRUE, comment="", quote="") # Don't ask me why df[, 1:ncol(df)] <- apply(df[, 1:ncol(df)], 2, as.numeric) df.m <- melt(df, id = "Len") # trick to add clonotype labels with geom_text, as suggested at StackExchange #dd <- subset(df, sample == "s2") #dd <- dd[with(dd, order(cdr3nt, levels(dd$cdr3aa))), ] #dd$cum <- cumsum(dd$expr) # custom palette (color blind) if (gradient) { pal <- colorRampPalette(c("#2b8cbe", "#e0f3db", "#fdbb84"))(ncol(df) - 2) } else { pal <- brewer.pal(ncol(df) - 2, "Paired") } # plotting if (grepl("\\.pdf$",file_out)){ pdf(file_out) } else if (grepl("\\.png$",file_out)) { png(file_out, width = 4.25, height = 2.25, units = "in", res = 1200, pointsize = 4) } else { stop('Unknown plotting format') } ggplot(df.m, aes(x = Len, y = value, fill = variable)) + geom_bar(width = 1, stat = "identity") + xlab("CDR3 length, bp") + labs(fill=label) + scale_x_continuous(expand = c(0, 0)) + scale_y_continuous(expand = c(0, 0)) + scale_fill_manual(values=c("grey75", pal)) + theme_bw() + theme(legend.text=element_text(size=8), axis.title.y=element_blank()) + guides(fill = guide_legend(reverse = TRUE)) dev.off()vdjtools-1.2.1+git20190311/src/main/resources/rscripts/join_venn.r000644 001750 001750 00000010356 13525023773 025701 0ustar00moellermoeller000000 000000 require(VennDiagram); require(RColorBrewer) args<-commandArgs(TRUE) area1 <- as.integer(args[1]) area2 <- as.integer(args[2]) area3 <- as.integer(args[3]) area4 <- as.integer(args[4]) area5 <- as.integer(args[5]) n1234 <- as.integer(args[26]) n1235 <- as.integer(args[27]) n1245 <- as.integer(args[28]) n1345 <- as.integer(args[29]) n2345 <- as.integer(args[30]) n123 <- as.integer(args[16]) n124 <- as.integer(args[17]) n125 <- as.integer(args[18]) n134 <- as.integer(args[19]) n135 <- as.integer(args[20]) n145 <- as.integer(args[21]) n234 <- as.integer(args[22]) n235 <- as.integer(args[23]) n245 <- as.integer(args[24]) n345 <- as.integer(args[25]) n12 <- as.integer(args[6]) n13 <- as.integer(args[7]) n14 <- as.integer(args[8]) n15 <- as.integer(args[9]) n23 <- as.integer(args[10]) n24 <- as.integer(args[11]) n25 <- as.integer(args[12]) n34 <- as.integer(args[13]) n35 <- as.integer(args[14]) n45 <- as.integer(args[15]) n12345 <- as.integer(args[31]) # cumulative # yes we have to integrate so that the VennDiagram will recalculate back # no option to provide raw counts unfortunately # haven't found any other package that accepts collapsed counts # (imagine writing to file and loading 20mln binary strings to R) n12 <- n12+n123+n124+n125+n1234+n1235+n1245+n12345 n13 <- n13+n123+n134+n135+n1234+n1235+n1345+n12345 n14 <- n14+n124+n134+n145+n1234+n1245+n1345+n12345 n15 <- n15+n125+n135+n145+n1235+n1245+n1345+n12345 n23 <- n23+n123+n234+n235+n1234+n1235+n2345+n12345 n24 <- n24+n124+n234+n245+n1234+n1245+n2345+n12345 n25 <- n25+n125+n235+n245+n1235+n1245+n2345+n12345 n34 <- n34+n134+n234+n345+n1234+n1345+n2345+n12345 n35 <- n35+n135+n235+n345+n1235+n1345+n2345+n12345 n45 <- n45+n145+n245+n345+n1245+n1345+n2345+n12345 n123 <- n123+n1234+n1235+n12345 n124 <- n124+n1234+n1245+n12345 n125 <- n125+n1235+n1245+n12345 n134 <- n134+n1234+n1345+n12345 n135 <- n135+n1235+n1345+n12345 n145 <- n145+n1245+n1345+n12345 n234 <- n234+n1234+n2345+n12345 n235 <- n235+n1235+n2345+n12345 n245 <- n245+n1245+n2345+n12345 n345 <- n345+n1345+n2345+n12345 n1234 <- n1234+n12345 n1235 <- n1235+n12345 n1245 <- n1245+n12345 n1345 <- n1345+n12345 n2345 <- n2345+n12345 category <- strsplit(args[32],split=",")[[1]] file_out <- args[33] cols <- brewer.pal(5, "Paired") if (grepl("\\.pdf$",file_out)){ pdf(file_out) } else if (grepl("\\.png$",file_out)) { png(file_out, width = 3.25, height = 3.25, units = "in", res = 1200, pointsize = 4) } else { stop('Unknown plotting format') } if (is.na(area3)) { dummy <- draw.pairwise.venn(area1, area2, n12, category[1:2], fill=cols[1:2], alpha=rep(0.5,2), col=rep("gray50",2), lwd=rep(1,2), margin=0.1) } else if (is.na(area4)) { dummy <- draw.triple.venn(area1, area2, area3, n12, n23, n13, n123, category[1:3], fill=cols[1:3], alpha=rep(0.5,3), col=rep("gray50",3), lwd=rep(1,3), margin=0.1) } else if (is.na(area5)) { dummy <- draw.quad.venn(area1, area2, area3, area4, n12, n13, n14, n23, n24, n34, n123, n124, n134, n234, n1234, category[1:4], fill=cols[1:4], alpha=rep(0.5,4), col=rep("gray50",4), lwd=rep(1,4), margin=0.1) } else { dummy <- draw.quintuple.venn(area1, area2, area3, area4, area5, n12, n13, n14, n15, n23, n24, n25, n34, n35, n45, n123, n124, n125, n134, n135, n145, n234, n235, n245, n345, n1234, n1235, n1245, n1345, n2345, n12345, category[1:5], fill=cols[1:5], alpha=rep(0.5,5), col=rep("gray50",5), lwd=rep(1,5), margin=0.1) } dev.off()vdjtools-1.2.1+git20190311/src/main/resources/rscripts/cdr3aa_profile.r000644 001750 001750 00000003433 13525023773 026567 0ustar00moellermoeller000000 000000 require(ggplot2) args <- commandArgs(T) file_in <- args[1] #"cdr3aa.profile.wt.txt" file_out <- args[2] #"cdr3aa.profile.wt.pdf" group_id <- as.integer(args[3]) #4 normalized <- as.logical(args[4]) #F if (group_id < 1) { group_id = 1 # use sample id if not specified } df <- read.table(file_in, header=T, comment="", quote="", sep="\t", stringsAsFactors = F) df$value <- as.numeric(df$value) df$total <- as.numeric(df$total) if (normalized) { df$value <- ifelse(df$total == 0, 0, df$value / df$total) } # collect required columns and select grouping column groupName <- colnames(df)[group_id] df <- data.frame(bin = factor(df$bin + 1), value = df$value, property = df$property, cdr3.segment = df$cdr3_segment, group = factor(df[,group_id])) # set order of segments df$cdr3.segment <- factor(df$cdr3.segment, levels = c("CDR3-full", "V-germ", "VD-junc", "D-germ", "DJ-junc", "VJ-junc", "J-germ", "CDR3-center")) get_facet_formula = function() { if (length(unique(df$property)) > 1) { property ~ cdr3.segment } else { cdr3.segment ~ property } } if (grepl("\\.pdf$",file_out)){ pdf(file_out) } else if (grepl("\\.png$",file_out)) { png(file_out, width = 3.25, height = 3.25, units = "in", res = 1200, pointsize = 4) } else { stop('Unknown plotting format') } ggplot(df, aes(x=bin, y=value, color=group)) + geom_boxplot() + facet_grid(get_facet_formula(), scales="free") + xlab("") + ylab("") + theme_bw() + scale_color_brewer(groupName, palette="Set2") dev.off() # you can further proceed with T-tests if you want.. #t.test(freq ~ genotype, subset(df, cdr3.segment == "VJ-junc" & property == "disorder"))vdjtools-1.2.1+git20190311/src/main/resources/rscripts/intersect_pair_area_v2.r000644 001750 001750 00000006414 13525023773 030326 0ustar00moellermoeller000000 000000 # # Prints a stacked area plot for two samples # args<-commandArgs(TRUE) require(ggplot2); require(reshape); require(RColorBrewer); require(FField) # data input sample1_id <- args[1] sample2_id <- args[2] file_in <- args[3] file_out <- args[4] # transform data table <- read.table(file_in, header=T, comment="", sep="\t", quote="", stringsAsFactors=F) n <- nrow(table) m <- ncol(table) table <- table[n:1, ] # reorder, bring non-overlapping / not-shown to the top sample_ids <- c(sample1_id, sample2_id) # here we do change sample labels and further refer to them as 0 and 1 # otherwise R will re-order samples alphabetically by name ... df <- data.frame(cdr3nt = rep(table$cdr3nt, 2), cdr3aa = rep(table$cdr3aa, 2), v = rep(table$v, 2), d = rep(table$d, 2), j = rep(table$j, 2), sample = rep(c(0, 1), each = n), expr = as.numeric(c(table[,m-1], table[,m])), peak = rep(as.integer(table$peak), 2)) df$sign <- paste(df$cdr3nt, df$v, df$d, df$j, sep="_") # trick to add clonotype labels with geom_text, as suggested at StackExchange df.0 <- subset(df, sample == 0) df.1 <- subset(df, sample == 1) #dd <- dd[with(dd, order(cdr3nt, levels(dd$cdr3aa))), ] df.0$cum <- cumsum(df.0$expr) df.0$cum <- (c(0, df.0$cum[0:(n-1)]) + df.0$cum) / 2 df.1$cum <- cumsum(df.1$expr) df.1$cum <- (c(0, df.1$cum[0:(n-1)]) + df.1$cum) / 2 # for label placement jitter_coord = function(y) { if (length(y) >= 2) { y.fact <- 100 / max(y) coords <- FFieldPtRep(coords = cbind(y * y.fact, y * y.fact), iter.max = 1000) y <- coords$y / y.fact y <- (y - min(y)) / (max(y) - min(y)) } else { y } } # placing df.00 <- subset(df.0, peak == 0) df.00$cum2 <- jitter_coord(df.00$cum) df.11 <- subset(df.1, peak == 1) df.11$cum2 <- jitter_coord(df.11$cum) # custom palette (color blind) gs.pal <- colorRampPalette(c("#2b8cbe", "#e0f3db", "#fdbb84")) # plotting emax <- max(df$expr) if (grepl("\\.pdf$",file_out)){ pdf(file_out) } else if (grepl("\\.png$",file_out)) { png(file_out, width = 3.25, height = 3.25, units = "in", res = 1200, pointsize = 4) } else { stop('Unknown plotting format') } ggplot() + geom_area(data = df, aes(x = sample, y = expr, fill = cdr3nt, group = sign), colour = "grey25", size = 0.01, position="stack") + ylab("cumulative abundance") + xlab("") + scale_x_continuous(expand = c(0, 0), labels=sample_ids, breaks=c(0,1), limits=c(-1,2)) + scale_y_continuous(expand = c(0, 0), limits=c(-0.2,1.2), breaks=c(0,0.25,0.5,0.75,1)) + scale_fill_manual(values = c("grey50", "grey25", gs.pal(n - 2))) + theme_bw() + theme(legend.position = "none") + geom_text(data = df.00, aes(x = -0.25, y = cum2, label = cdr3aa), hjust = 1, size=3) + geom_segment(data = df.00, x=0,xend=-0.23, aes(y=cum, yend=cum2), size=0.3) + geom_text(data = df.11, aes(x = 1.25, y = cum2, label = cdr3aa), hjust = 0, size=3) + geom_segment(data = df.11, x=1,xend=1.23, aes(y=cum, yend=cum2), size=0.3) + theme(panel.grid.major = element_blank(), panel.grid.minor = element_blank()) dev.off()vdjtools-1.2.1+git20190311/src/main/resources/rscripts/tracking_heatcourse.r000644 001750 001750 00000003027 13525023773 027735 0ustar00moellermoeller000000 000000 # data input args <- commandArgs(TRUE) require(gplots) label <- args[1] #"time since HSCT, months" points <- args[2] #"-48,-0.5,4,10,25,37,72" file_in <- args[3] #"tc_luc_table_collapsed.txt" file_out <- args[4] #"out.pdf" # load time points, create some auxillary variables t <- apply(as.vector(read.table(text=points, sep=",")), 1, as.numeric) n <- length(t) # load data and remove collapse summary columns df <- read.table(file_in, sep="\t", header = T, comment ="") df <- df[1:(nrow(df)-2), ] # convert abundance columns to numeric tcols <- (ncol(df) - n + 1):ncol(df) df[, tcols] <- apply(df[, tcols], 2, as.numeric) # format (log-transform and scale) y <- df[,tcols] min <- min(y[y > 0]) max <- max(y) x <- log10(as.matrix(y) + min / 10) breaks = c(log10(min) - 1, seq(log10(min), log10(max), length.out = 20)) pal <- colorRampPalette(c("#2b8cbe", "#e0f3db", "#fdbb84")) # plot if (grepl("\\.pdf$",file_out)){ pdf(file_out) } else if (grepl("\\.png$",file_out)) { png(file_out, width = 3.25, height = 3.25, units = "in", res = 1200, pointsize = 4) } else { stop('Unknown plotting format') } heatmap.2(x, labRow = df$cdr3aa, labCol = t, Colv = FALSE, dendrogram = "row", scale = "none", cexRow = 0.2 + 0.5 / log10(nrow(x)), keysize = 1.0, symkey = FALSE, col = c("grey50", pal(length(breaks) - 2)), breaks = breaks, density.info="none", trace="none", srtCol=90, adjCol = c(1,0), xlab = label) dev.off() vdjtools-1.2.1+git20190311/src/main/resources/rscripts/cluster_permutations_plot.r000644 001750 001750 00000002001 13525023773 031231 0ustar00moellermoeller000000 000000 require(ggplot2) args<-commandArgs(TRUE) file_in <- args[1] file_out <- args[2] df <- read.table(file_in, sep="\t", comment="", header=T, stringsAsFactors=F, quote="") df[,3:5]<-apply(df[,3:5],2,as.numeric) df.l<-data.frame(factor=df$factor,type=df$type,obs=df$obs,p=df$p) df.l<-df.l[!duplicated(df.l), ] g<-ggplot(df,aes(x=perm))+geom_histogram(colour = "darkgrey", fill = "grey") + geom_vline(aes(xintercept = obs), colour="red", size=1, linetype = "longdash") + theme_bw() + xlab("") + scale_y_continuous(name="permutations") + facet_grid(type~factor) df.l$perm<-rep(max(ggplot_build(g)$data[[1]]$count),nrow(df.l)) if (grepl("\\.pdf$",file_out)){ pdf(file_out) } else if (grepl("\\.png$",file_out)) { png(file_out, width = 3.25, height = 3.25, units = "in", res = 1200, pointsize = 4) } else { stop('Unknown plotting format') } g+geom_text(data = df.l, aes(x=obs, label=as.character(p), y=perm), hjust=-0.1) dev.off()vdjtools-1.2.1+git20190311/src/main/resources/rscripts/cluster_samples.r000644 001750 001750 00000021404 13525023773 027115 0ustar00moellermoeller000000 000000 require(ape); require(reshape2); require(ggplot2); require(MASS); require(plotrix); require(RColorBrewer); require(scales) ## Read in arguments args<-commandArgs(TRUE) file_in = args[1] # Input filename id_col1_index = as.integer(args[2]) # Index of first id column id_col2_index = as.integer(args[3]) # Index of second id column measure_col_index = as.integer(args[4]) # Index of overlap measure column measure_type = as.integer(args[5]) # Measure normalization to apply factor_col1_index = as.integer(args[6]) # Index of first column with factor values factor_col2_index = as.integer(args[7]) # Index of second column with factor values lbl_col1_index = as.integer(args[8]) # Index of first column with labels lbl_col2_index = as.integer(args[9]) # Index of second column with labels factor_name = args[10] # Coloring factor cont_factor = args[11] # Continuous factor? file_out_hc = args[12] # Dendrogram plot filename file_out_mds = args[13] # MDS plot filename render_plot = as.logical(args[14]) # Create plots? file_out_clust = args[15] # HCL clusters filename file_out_coord = args[16] # MDS coords filename # handle no factor case color_by_factor <- TRUE if(factor_col1_index < 1) { factor_col1_index = id_col1_index factor_col2_index = id_col2_index color_by_factor = FALSE cont_factor = FALSE } # handle no label case if(lbl_col1_index < 1) { lbl_col1_index = id_col1_index lbl_col2_index = id_col2_index } ## Read data df <- read.table(file_in, header = T, sep = "\t", comment ="", quote="") # convert factor columns depending on if continuous coloring is desired or not if (cont_factor) { df[, factor_col1_index] <- as.numeric(as.character(df[, factor_col1_index])) df[, factor_col2_index] <- as.numeric(as.character(df[, factor_col2_index])) } else { df[, factor_col1_index] <- as.factor(df[, factor_col1_index]) df[, factor_col2_index] <- as.factor(df[, factor_col2_index]) } # Split tables to protect from column overlap, also rename them # all this stuff is done as R re-formats column names # e.g. 1_sample_id to X1_sample_id, ... df.aux <- data.frame( id_col1 = df[, id_col1_index], id_col2 = df[, id_col2_index], factor_col1 = df[, factor_col1_index], factor_col2 = df[, factor_col2_index], lbl_col1 = df[, lbl_col1_index], lbl_col2 = df[, lbl_col2_index] ) df <- data.frame( id_col1 = df[, id_col1_index], id_col2 = df[, id_col2_index], measure_col = as.numeric(as.character(df[, measure_col_index])) ) # normalize overlap measure if (measure_type == 0) { # neg log normalization (relative overlap, etc) df$measure_col <- -log10(df$measure_col + 1e-9) } else if (measure_type == 1) { # normalizaiton for correlation coefficients df$measure_col <- (1 - df$measure_col) / 2 } else if (measure_type == 2) { # normalizaiton for similarity indices df$measure_col <- 1 - df$measure_col } else { # no normalization (jensen-shannon divergence, etc) } ## Auxillary table # trick as we need both columns to get all the data on a factor # due to the fact that the output is upper triangle of intersection matrix aux <- unique(df.aux[c("id_col2", "factor_col2", "lbl_col2")]) names(aux) <- names(df.aux[c("id_col1", "factor_col1", "lbl_col1")]) aux <- unique(rbind(aux, df.aux[c("id_col1", "factor_col1", "lbl_col1")])) ## Factor & coloring if (color_by_factor) { if (cont_factor) { # switch to numeric values and sort by factor aux[, "factor_col1"] <- as.numeric(as.character(aux[, "factor_col1"])) aux <- aux[order(aux[, "factor_col1"]), ] } # design a palette to color by unique factor levels if (cont_factor) { pal <- colorRampPalette(c("#feb24c", "#31a354", "#2b8cbe")) fu <- unique(aux[, "factor_col1"]) cc <- pal(length(fu)) } else { fu <- levels(aux[, "factor_col1"]) pal <- rep(brewer.pal(8, "Set2"), length(fu)/8 + 1) cc <- pal[1:length(fu)] } # for nan cc[is.na(fu)] <- "grey" } ## Distance # Symmetrize matrix & compute distance measure df.1 <- data.frame(id_col1 = df$id_col1, id_col2 = df$id_col2, measure_col = df$measure_col) df.2 <- df.1 df.2[c("id_col1", "id_col2")] <- df.2[c("id_col2", "id_col1")] df.sym <- rbind(df.1, df.2) # cast back to square matrix df.m <- as.matrix(dcast(df.sym, id_col1 ~ id_col2, value.var = "measure_col")) rownames(df.m) <- df.m[,1] df.m <- df.m[,2:ncol(df.m)] df.m <- df.m[order(rownames(df.m)), order(colnames(df.m))] # compute distance df.m <- apply(df.m, 2, as.numeric) # Don't ask me why diag(df.m) <- 0 # replace diag NAs with 0 df.d <- as.dist(df.m) ## HCL hcl <- hclust(df.d) ## Dendrogram # for matching colors and labels cc_final <- "black" if (color_by_factor) { ind1 <- match(aux[, "factor_col1"], fu) ind2 <- match(hcl$labels, aux[, "id_col1"]) cc_final <- cc[ind1[ind2]] } lbl <- sapply(aux[match(hcl$labels, aux[, "id_col1"]), "lbl_col1"], as.character) phylo <- as.phylo(hcl) # save clusters write.tree(phy=phylo, file="file_out_clust") # set lables phylo$tip.label <- lbl # plotting functions, mostly layout optimization my.plot <- function(hcl, ...) { if (color_by_factor) { if (hcl) { fig <- c(0.05, 0.75, 0, 1.0) mar <- c(0, 0, 0, 0) } else { fig <- c(0.05, 0.9, 0.1, 0.9) mar <- c(2, 4, 2, 4) } } else { if (hcl) { fig <- c(0.05, 0.95, 0, 1.0) mar <- c(0, 0, 0, 0) } else { fig <- c(0, 1.0, 0, 1.0) mar <- c(4, 4, 4, 4) } } layout(matrix(1:2, ncol=2), width = c(2, 0.1), height = c(1, 1)) par(fig = fig, mar = mar, xpd = NA) # this ensures labels are not cut plot(...) } my.legend <- function(hcl) { if (color_by_factor) { if (hcl) { f <- 2 fig <- c(0.85, 0.95, 0, 1.0) } else { f <- 1.2 fig <- c(0.8, 0.95, 0, 1.0) } par(fig = fig, mar = c(0, 0, 0, 0), xpd = NA, new=TRUE) if (cont_factor) { # order & get rid of NAs fu1 <- fu[ind1] cc1 <- cc[ind1] cc1 <- cc1[!is.na(fu1)] fu1 <- fu1[!is.na(fu1)] ux <- grconvertX(c(0.4 - 0.05 * f, 0.4 + 0.05 * f), from = "npc", to = "user") uy <- grconvertY(c(0.5 - 0.15, 0.5 + 0.15), from = "npc", to = "user") color.legend( ux[1], uy[1], ux[2], uy[2],#-0.39, -0.4, + 0.39, 0.4,#0.07 + f, 0.1, legend = fu1[c(1, length(fu1)/2 + 1, length(fu1))], rect.col = cc1, gradient = "y", align="rb") uy <- grconvertY(0.5 + 0.15 + 0.02, from = "npc", to = "user") text(0.5, uy, factor_name, adj = c(0.5, 0.0)) } else { # vanilla legend for discrete factor legend("center", "(x,y)", fill = cc, pch = '', box.lwd = 0, title = factor_name, legend = fu) } } } # Plotting device custom.dev <- function(fname) { if (grepl("\\.pdf$",fname)){ pdf(fname, useDingbats=FALSE) } else if (grepl("\\.png$",fname)) { png(fname, width = 3.25, height = 3.25, units = "in", res = 1200, pointsize = 4) } else { stop('Unknown plotting format') } } # plot if (render_plot) { custom.dev(file_out_hc) my.plot(TRUE, phylo, tip.color = cc_final) my.legend(TRUE) dev.off() } ## MDS mds <- isoMDS(df.d, k = 2) # move outliers to plot boundaries apply.bounds <- function(x, y, lp, hp) { qx <- quantile(x, c(lp, hp)) qy <- quantile(y, c(lp, hp)) oxl <- x <= qx[1]; oxh <- x >= qx[2] oyl <- y <= qy[1]; oyh <- y >= qy[2] xx <- x xx[oxl] = qx[1]; xx[oxh] = qx[2] yy <- y yy[oyl] = qy[1]; yy[oyh] = qy[2] o <- (oxl | oxh | oyl | oyh) list(x = xx, y = yy, o = o) } x <- mds$points[,1] y <- mds$points[,2] xy <- apply.bounds(x, y, 0.1, 0.9) # re-match label and color if (color_by_factor) { ind3 <- match(row.names(mds$points), aux[, "id_col1"]) cc_final <- cc[ind1[ind3]] } lbl <- sapply(aux[match(row.names(as.matrix(df.d)), aux[, "id_col1"]), "lbl_col1"], as.character) fac <- sapply(aux[match(row.names(as.matrix(df.d)), aux[, "id_col1"]), "factor_col1"], as.character) # plot if (render_plot) { custom.dev(file_out_mds) my.plot(FALSE, xy$x, xy$y, xlab="mds1", ylab="mds2", type = "n") #points(xy$x, xy$y, col = alpha(cc_final, 0.5), pch = 19) text(xy$x, xy$y, labels = lbl, col = cc_final, cex=.5) #text(xy$x, xy$y, labels = lbl, cex=.5) my.legend(FALSE) dev.off() } # table with mds coordinates # it will be later used in permutation testing write.table(data.frame(id = aux[, "id_col1"], lbl = lbl, factor = fac, x=xy$x, y=xy$y), file_out_coord, sep = "\t", quote = FALSE, row.names = FALSE)vdjtools-1.2.1+git20190311/src/main/resources/rscripts/tracking_similarity_map.r000644 001750 001750 00000003001 13525023773 030606 0ustar00moellermoeller000000 000000 args <- commandArgs(TRUE) require(ggplot2); require(reshape); require(gridExtra); require(grid) file_in <- args[1] file_out <- args[2] # preprocess data df <- read.table(file_in, header=TRUE, comment.char="", sep = "\t") df$value <- as.numeric(as.character(df$value)) # yet again don't ask me why get_plot <- function(metric_value) { ggplot(subset(df, metric == metric_value), aes(factor(X1_time), factor(X2_time))) + geom_tile(aes(fill = value), colour = "white") + scale_fill_gradient(low = "white", high = "steelblue") + coord_fixed(ratio = 1) + facet_wrap( ~ metric) + scale_x_discrete(expand = c(0, 0)) + scale_y_discrete(expand = c(0, 0)) + xlab("") + ylab("") + #guides(fill = guide_legend(title = "")) + theme( legend.title = element_blank(), legend.text = element_text(angle = 45, hjust = 0), legend.position = "bottom", axis.ticks = element_blank(), axis.text.x = element_text(angle = 90, hjust = 0) ) } g1 <- get_plot("count") g2 <- get_plot("diversity") g3 <- get_plot("frequency") if (grepl("\\.pdf$",file_out)){ pdf(file_out) } else if (grepl("\\.png$",file_out)) { png(file_out, width = 3.25, height = 3.25, units = "in", res = 1200, pointsize = 4) } else { stop('Unknown plotting format') } grid.arrange(g1, g2, g3, ncol=3, nrow=1) dev.off()vdjtools-1.2.1+git20190311/src/main/resources/rscripts/vj_pairing_plot.r000644 001750 001750 00000004667 13525023773 027112 0ustar00moellermoeller000000 000000 args<-commandArgs(TRUE) file_in <- args[1] file_out <- args[2] require(circlize); require(RColorBrewer) # load data and preproc to fit formats temp <- read.table(file_in, sep="\t", comment="") n <- nrow(temp) m <- ncol(temp) rn = as.character(temp[2:n,1]) cn = apply(temp[1,2:m], 2 , as.character) mat <- matrix(apply(temp[2:n, 2:m], 1:2, as.numeric), n - 1, m-1) * 100 n <- nrow(temp) m <- ncol(temp) # Here columns and rows correspond to V and J segments respectively # Also replace possible duplicates (undef, '.', ...) duplicates <- intersect(rn, cn) rownames(mat) <- replace(rn, rn==duplicates, paste("V", duplicates, sep="")) colnames(mat) <- replace(cn, cn==duplicates, paste("J", duplicates, sep="")) # sort col_sum = apply(mat, 2, sum) row_sum = apply(mat, 1, sum) mat <- mat[order(row_sum), order(col_sum)] # equal number of characters for visualizaiton rn <- rownames(mat) cn <- colnames(mat) maxrn <- max(nchar(rn)) maxcn <- max(nchar(cn)) for(i in seq_len(length(rn))) { rn[i] <- paste(rn[i], paste(rep(" ", maxrn - nchar(rn[i])), collapse = '')) } for(i in seq_len(length(cn))) { cn[i] <- paste(cn[i], paste(rep(" ", maxcn - nchar(cn[i])), collapse = '')) } rownames(mat) <- rn colnames(mat) <- cn # viz using circlize if (grepl("\\.pdf$",file_out)){ pdf(file_out) } else if (grepl("\\.png$",file_out)) { png(file_out, width = 3.25, height = 3.25, units = "in", res = 1200, pointsize = 4) } else { stop('Unknown plotting format') } circos.par(gap.degree = c(rep(1, nrow(mat)-1), 10, rep(1, ncol(mat)-1), 15), start.degree = 5) rcols <- rep(brewer.pal(12, "Paired"), nrow(mat)/12 + 1)[1:nrow(mat)] ccols <- rep(brewer.pal(12, "Paired"), ncol(mat)/12 + 1)[1:ncol(mat)] names(rcols) <- sort(rownames(mat)) names(ccols) <- sort(colnames(mat)) chordDiagram(mat, annotationTrack = "grid", grid.col = c(rcols, ccols), preAllocateTracks = list(track.height = 0.2), transparency = 0.5) circos.trackPlotRegion(track.index = 1, bg.border = NA, panel.fun = function(x, y) { sector.name = get.cell.meta.data("sector.index") xlim = get.cell.meta.data("xlim") ylim = get.cell.meta.data("ylim") circos.text(mean(xlim), ylim[1], cex = 0.5, sector.name, facing = "clockwise", adj = c(0, 0.5)) } ) circos.clear() dev.off() vdjtools-1.2.1+git20190311/src/main/resources/rscripts/test.r000644 001750 001750 00000000515 13525023773 024667 0ustar00moellermoeller000000 000000 # This simple script tests R dependency installation for VDJtools args <- commandArgs(TRUE) # iterate over dependencies passed <- T for (i in 1:length(args)) { if (!args[i] %in% rownames(installed.packages())) { print(paste("FAILED to install ", args[i])) passed <- F } } if (passed) { print("PASSED") } vdjtools-1.2.1+git20190311/src/main/groovy/000755 001750 001750 00000000000 13525023773 021166 5ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/src/main/groovy/com/000755 001750 001750 00000000000 13525023773 021744 5ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/000755 001750 001750 00000000000 13525023773 024424 5ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/000755 001750 001750 00000000000 13525023773 026270 5ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/overlap/000755 001750 001750 00000000000 13525023773 027740 5ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/overlap/ClusterSamples.groovy000644 001750 001750 00000016456 13525023773 034171 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.overlap import com.antigenomics.vdjtools.sample.metadata.MetadataTable import static com.antigenomics.vdjtools.misc.ExecUtil.formOutputPath import static com.antigenomics.vdjtools.misc.RUtil.* def MEASURE_DEFAULT = "F", I_TYPE_DEFAULT = "aa" def cli = new CliBuilder(usage: "ClusterSamples [options] input_prefix [output_prefix]\n" + "NOTE: input_prefix should be equal to output_prefix specified for" + "CalcPairwiseDistances execution, -i parameters should also match.") cli.h("display help message") // General cli.e(longOpt: "measure", argName: "string", args: 1, "Distance measure to use, allowed values are ${OverlapMetric.allowedNames}. " + "[default = $MEASURE_DEFAULT]") cli.i(longOpt: "intersect-type", argName: "string", args: 1, "Intersection rule, as used in CalcPairwiseDistances." + "Allowed values: $OverlapType.allowedNames. " + "Will use '$I_TYPE_DEFAULT' by default.") // Plotting cli._(longOpt: "plot-type", argName: "pdf|png", args: 1, "Plot output format [default=pdf]") cli.f(longOpt: "factor", argName: "string", args: 1, "[plotting] Column name, as in metadata. Factor used to color the plot. [default = no factor]") cli.n(longOpt: "num-factor", "[plotting] Factor will be treated as numeric value and gradient plot coloring will be used. " + "Factor can still contain non-numeric values which will be converted to NA (grey). " + "Should contain at least one numeric value. [default = off]") cli.l(longOpt: "label", argName: "string", args: 1, "[plotting] Column name, as in metadata. Row values will be used as sample labels. [default = sample_id]") cli.p(longOpt: "plot", "[plotting] Turns plotting on.") def opt = cli.parse(args) if (opt == null) System.exit(2) if (opt.h || opt.arguments().size() < 1) { cli.usage() System.exit(2) } def scriptName = getClass().canonicalName.split("\\.")[-1] def iName = opt.i ?: I_TYPE_DEFAULT def intersectionType = OverlapType.getByShortName(iName) if (!intersectionType) { println "[ERROR] Bad overlap type specified ($iName). " + "Allowed values are: $OverlapType.allowedNames" System.exit(2) } def inputPrefix = opt.arguments()[0], inputFileName = formOutputPath(inputPrefix, "intersect", "batch", intersectionType.shortName) if (!new File(inputFileName).exists()) { println "[ERROR] Input file $inputFileName not found" System.exit(2) } intersectionType = intersectionType.shortName def outputPrefix = opt.arguments().size() > 1 ? opt.arguments()[1] : inputPrefix, sampleId = MetadataTable.SAMPLE_ID_COLUMN.toUpperCase(), factorName = opt.f, numFactor = opt.n, measureName = (opt.e ?: MEASURE_DEFAULT).toUpperCase(), labelName = (opt.l ?: MetadataTable.SAMPLE_ID_COLUMN).toUpperCase(), plotType = (opt.'plot-type' ?: "pdf").toString(), hcPlotFileName = formOutputPath(outputPrefix, "hc", intersectionType, measureName, plotType), mdsPlotFileName = formOutputPath(outputPrefix, "mds", intersectionType, measureName, plotType), hcFileName = formOutputPath(outputPrefix, "hc", intersectionType, measureName, "newick"), mdsFileName = formOutputPath(outputPrefix, "mds", intersectionType, measureName, "txt"), plot = (boolean) opt.p def factorNameOrig = null if (factorName) { factorNameOrig = factorName factorName = factorName.toUpperCase() } // Read header println "[${new Date()} $scriptName] Reading data header" def header = [] new File(inputFileName).withReader { reader -> header = reader.readLine().split("\t").collect { it.toUpperCase() } } // Match column indices def idCol1Ind = (header.findIndexOf { it.contains("1_$sampleId") } + 1).toString(), idCol2Ind = (header.findIndexOf { it.contains("2_$sampleId") } + 1).toString(), measureColInd = (header.findIndexOf { it.equals(measureName) } + 1).toString(), factorCol1Ind = ((factorName ? header.findIndexOf { it.contains("1_$factorName") } : -1) + 1).toString(), factorCol2Ind = ((factorName ? header.findIndexOf { it.contains("2_$factorName") } : -1) + 1).toString(), labelCol1Ind = (header.findIndexOf { it.contains("1_$labelName") } + 1).toString(), labelCol2Ind = (header.findIndexOf { it.contains("2_$labelName") } + 1).toString() if (measureColInd.toInteger() < 1) { println "[ERROR] Measure column ($measureName) is absent. Terminating" System.exit(2) } // Check if we can map factor to gradient scale // we do it manually here as we have no access to metadata :( boolean specifiedFactor = factorCol1Ind.toInteger() > 0 if (numFactor && specifiedFactor) { int fcol1 = factorCol1Ind.toInteger() - 1, fcol2 = factorCol2Ind.toInteger() - 1 def fValues = new HashSet() new File(inputFileName).withReader { reader -> header = reader.readLine().split("\t") def line while ((line = reader.readLine()) != null) { def splitLine = line.split("\t") if (splitLine[fcol1].isDouble()) fValues.add(splitLine[fcol1].toDouble()) if (splitLine[fcol2].isDouble()) fValues.add(splitLine[fcol2].toDouble()) } } if (fValues.size() < 3) { println "[WARNING] Numeric factor specified, while number of unique numeric factor values < 3. Switching it off.." numFactor = false } } // // Cluster & plot // println "[${new Date()} $scriptName] Clustering samples${plot ? " and plotting" : ""}." execute("cluster_samples.r", inputFileName, idCol1Ind, idCol2Ind, measureColInd, OverlapMetric.getByShortName(measureName).normalization.id.toString(), factorCol1Ind, factorCol2Ind, labelCol1Ind, labelCol2Ind, factorNameOrig ?: NA, logical(numFactor), hcPlotFileName, mdsPlotFileName, logical(plot), hcFileName, mdsFileName ) println "[${new Date()} $scriptName] Finished" vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/overlap/TestClusters.groovy000644 001750 001750 00000010500 13525023773 033647 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.overlap import com.antigenomics.vdjtools.overlap.permutations.DiscreteFactorClusterStats import static com.antigenomics.vdjtools.misc.ExecUtil.formOutputPath import static com.antigenomics.vdjtools.misc.ExecUtil.toPlotPath import static com.antigenomics.vdjtools.misc.RUtil.execute def MEASURE_DEFAULT = "F", I_TYPE_DEFAULT = "aa" def cli = new CliBuilder(usage: "TestClusters [options] input_prefix [output_prefix]\n" + "NOTE: input_prefix should be equal to output_prefix specified for" + "ClusterSamples execution, -i, -e parameters should also match.") cli.h("display help message") cli.e(longOpt: "measure", argName: "string", args: 1, "Distance measure to use, allowed values are ${OverlapMetric.allowedNames}. " + "[default = $MEASURE_DEFAULT]") cli.i(longOpt: "intersect-type", argName: "string", args: 1, "Intersection rule, as used in CalcPairwiseDistances." + "Allowed values: $OverlapType.allowedNames. " + "Will use '$I_TYPE_DEFAULT' by default.") cli.n(longOpt: "num-factor", "Treat factor as numeric") cli._(longOpt: "plot-type", argName: "pdf|png", args: 1, "Plot output format [default=pdf]") def opt = cli.parse(args) if (opt == null) System.exit(2) if (opt.h || opt.arguments().size() < 1) { cli.usage() System.exit(2) } def scriptName = getClass().canonicalName.split("\\.")[-1] def iName = opt.i ?: I_TYPE_DEFAULT def intersectionType = OverlapType.getByShortName(iName) if (!intersectionType) { println "[ERROR] Bad overlap type specified ($iName). " + "Allowed values are: $OverlapType.allowedNames" System.exit(2) } intersectionType = intersectionType.shortName def measureName = (opt.e ?: MEASURE_DEFAULT).toUpperCase(), numFactor = (boolean) opt.n, inputPrefix = opt.arguments()[0], mdsFileName = formOutputPath(inputPrefix, "mds", intersectionType, measureName), outputPrefix = opt.arguments().size() > 1 ? opt.arguments()[1] : inputPrefix, plotType = (opt.'plot-type' ?: "pdf").toString() // // Permutation testing // if (numFactor) { // todo: finish with distance correlation } else { println "[${new Date()} $scriptName] Running permutation testing for factor ~ cluster dependence" def permsOutputPath = formOutputPath(outputPrefix, "perms", intersectionType, measureName) def summary = new DiscreteFactorClusterStats(mdsFileName).performPermutations(10000) if (summary) { DiscreteFactorClusterStats.writeSummary(summary, permsOutputPath) execute("cluster_permutations_plot.r", permsOutputPath, toPlotPath(permsOutputPath, plotType) ) new File(permsOutputPath).delete() } else { println "[${new Date()} $scriptName] No way - less than 2 factor levels are present." } } println "[${new Date()} $scriptName] Finished" vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/overlap/Overlap.groovy000644 001750 001750 00000034455 13525023773 032632 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.overlap import com.antigenomics.vdjtools.join.JointSample import com.antigenomics.vdjtools.sample.Sample import com.antigenomics.vdjtools.sample.SamplePair import com.antigenomics.vdjtools.sample.metadata.MetadataTable import com.antigenomics.vdjtools.misc.ExecUtil /** * A class that performs an overlap between a pair of samples, * holds an exhaustive information on the extent of an overlap and * computes a set of overlap metrics */ public class Overlap { public static boolean VERBOSE = true private final SamplePair samplePair private final JointSample jointSample private final OverlapEvaluator intersectionEvaluator private final Map intersectMetricCache private final Collection intersectMetrics private final int div1, div2, div12, div21, count1, count2, count12, count21 private final double freq1, freq2, freq12, freq21 private final boolean store private final String header1, header2, id1, id2, meta1, meta2 /** * INTERNAL, just sets up all fields * @param samplePair * @param jointSample * @param intersectionEvaluator * @param intersectMetrics * @param intersectMetricCache * @param div1 * @param div2 * @param div12 * @param div21 * @param count1 * @param count2 * @param count12 * @param count21 * @param freq1 * @param freq2 * @param freq12 * @param freq21 * @param header1 * @param header2 * @param id1 * @param id2 * @param meta1 * @param meta2 * @param store */ private Overlap(SamplePair samplePair, JointSample jointSample, OverlapEvaluator intersectionEvaluator, Collection intersectMetrics, Map intersectMetricCache, int div1, int div2, int div12, int div21, int count1, int count2, int count12, int count21, double freq1, double freq2, double freq12, double freq21, String header1, String header2, String id1, String id2, String meta1, String meta2, boolean store) { this.samplePair = samplePair this.jointSample = jointSample this.intersectionEvaluator = intersectionEvaluator this.intersectMetrics = intersectMetrics this.intersectMetricCache = intersectMetricCache this.div1 = div1 this.div2 = div2 this.div12 = div12 this.div21 = div21 this.count1 = count1 this.count2 = count2 this.count12 = count12 this.count21 = count21 this.freq1 = freq1 this.freq2 = freq2 this.freq12 = freq12 this.freq21 = freq21 this.header1 = header1 this.header2 = header2 this.id1 = id1 this.id2 = id2 this.meta1 = meta1 this.meta2 = meta2 this.store = store } /** * Intersects a pair of samples and stores all results. * Will load both samples into memory for the initialization step. * Pre-computes all overlap metrics. * @param sample1 first sample to be intersected. * @param sample2 second sample to be intersected. * @param intersectionType clonotype matching rule */ public Overlap(Sample sample1, Sample sample2, OverlapType intersectionType) { this(new SamplePair(sample1, sample2), intersectionType, false) } /** * Intersects a pair of samples and stores all results. * Will load both samples into memory for the initialization step. * Pre-computes all overlap metrics. * @param samplePair an object holding samples to be intersected * @param intersectionType clonotype matching rule */ public Overlap(SamplePair samplePair, OverlapType intersectionType) { this(samplePair, intersectionType, false) } /** * Intersects a pair of samples and stores all results. * Pre-computes all overlap metrics. * @param samplePair an object holding samples to be intersected * @param intersectionType clonotype matching rule * @param store holds all samples in memory if set to {@code true} */ public Overlap(SamplePair samplePair, OverlapType intersectionType, boolean store) { this(samplePair, intersectionType, store, OverlapMetric.values()) } /** * Intersects a pair of samples and stores all results. * @param samplePair an object holding samples to be intersected * @param intersectionType clonotype matching rule * @param store holds all samples in memory if set to {@code true} * @param intersectMetrics a list of overlap metrics that should be pre-computed */ public Overlap(SamplePair samplePair, OverlapType intersectionType, boolean store, Collection intersectMetrics) { this.store = store this.samplePair = store ? samplePair : null ExecUtil.report(this, "Intersecting samples #${samplePair.i} and ${samplePair.j}", VERBOSE) def jointSample = new JointSample(intersectionType, [samplePair[0], samplePair[1]] as Sample[]) this.jointSample = store ? jointSample : null def intersectionEvaluator = new OverlapEvaluator(jointSample) this.intersectionEvaluator = store ? intersectionEvaluator : null this.intersectMetrics = intersectMetrics this.intersectMetricCache = new HashMap<>() intersectMetrics.each { intersectMetricCache.put(it, intersectionEvaluator.computeIntersectionMetric(it)) } this.div1 = samplePair[0].diversity this.div2 = samplePair[1].diversity this.div12 = jointSample.diversity this.div21 = div12 this.count1 = samplePair[0].count this.count2 = samplePair[1].count this.count12 = jointSample.getIntersectionCount(0, 1) this.count21 = jointSample.getIntersectionCount(1, 0) this.freq1 = samplePair[0].freqAsInInput this.freq2 = samplePair[1].freqAsInInput this.freq12 = jointSample.getIntersectionFreq(0, 1) this.freq21 = jointSample.getIntersectionFreq(1, 0) this.header1 = samplePair[0].sampleMetadata.parent.columnHeader1 this.header2 = samplePair[0].sampleMetadata.parent.columnHeader2 this.id1 = samplePair[0].sampleMetadata.sampleId this.id2 = samplePair[1].sampleMetadata.sampleId this.meta1 = samplePair[0].sampleMetadata.toString() this.meta2 = samplePair[1].sampleMetadata.toString() } /** * Gets the value of a specified overlap metric. Uses cache. * @param intersectMetric overlap metric type * @return value of overlap metric which can lie in {@code ( - inf , + inf )} * @throws Exception if metric is not pre-computed and {@code store=false} */ public double getMetricValue(OverlapMetric intersectMetric) { def value = intersectMetricCache[intersectMetric] if (value == null) { if (!store) throw new Exception("Cannot provided value for ${intersectMetric.shortName} as " + "\$store=false and the value is not precomputed") else intersectMetricCache.put(intersectMetric, value = intersectionEvaluator.computeIntersectionMetric(intersectMetric)) } value } /** * Gets the first sample in overlap * @return sample object * @throws Exception if {@code store=false} */ public Sample getSample1() { if (!store) throw new Exception("Cannot access this property as \$store=false") samplePair[0] } /** * Gets the second sample in overlap * @return sample object * @throws Exception if {@code store=false} */ public Sample getSample2() { if (!store) throw new Exception("Cannot access this property as \$store=false") samplePair[1] } /** * Gets the joint sample that contains all shared clonotypes * @return joint sample object */ public JointSample getJointSample() { if (!store) throw new Exception("Cannot access this property as \$store=false") jointSample } /** * Gets the number of unique (up to matching rule) clonotypes in first sample * @return the diversity of first sample */ public int getDiv1() { div1 } /** * Gets the number of unique (up to matching rule) clonotypes in second sample * @return the diversity of second sample */ public int getDiv2() { div2 } /** * Gets the number of unique (up to matching rule) clonotypes that overlap between samples * Same as {@code getDiv21 ( )} * @return sample overlap diversity */ public int getDiv12() { div12 } /** * Gets the number of unique (up to matching rule) clonotypes that overlap between samples. * Same as {@code getDiv12 ( )} * @return sample overlap diversity */ public int getDiv21() { div21 } /** * Gets the number of reads in the first sample * @return read count */ public int getCount1() { count1 } /** * Gets the number of reads in the second sample * @return read count */ public int getCount2() { count2 } /** * Gets the number of reads in the first sample that belong to clonotypes overlapping between samples * @return read count of overlapping clonotypes according to first sample */ public int getCount12() { count12 } /** * Gets the number of reads in the second sample that belong to clonotypes overlapping between samples * @return read count of overlapping clonotypes according to second sample */ public int getCount21() { count21 } /** * Gets the total frequency of the first sample * @return frequency , should return {@code 1.0} in most cases */ public double getFreq1() { freq1 } /** * Gets the total frequency of the second sample * @return frequency , should return {@code 1.0} in most cases */ public double getFreq2() { freq2 } /** * Gets the frequency of reads in the first sample that belong to clonotypes overlapping between samples * @return frequency of overlapping clonotypes according to first sample */ public double getFreq12() { freq12 } /** * Gets the frequency of reads in the second sample that belong to clonotypes overlapping between samples * @return frequency of overlapping clonotypes according to second sample */ public double getFreq21() { freq21 } /** * List of fields that will be included in tabular output */ public static final String[] OUTPUT_FIELDS = ["div1", "div2", "div12", "div21", "count1", "count2", "count12", "count21", "freq1", "freq2", "freq12", "freq21"] /** * Swaps samples and all fields: {@code div1} is swapped with {@code div2}, etc. * Method is mostly used for output as by default only the lower triangular of overlap matrix is stored * @return a paired overlap instance for swapped pair of samples */ public Overlap getReverse() { new Overlap(store ? samplePair.reverse : null, store ? jointSample.reverse : null, intersectionEvaluator, intersectMetrics, intersectMetricCache, div2, div1, div21, div12, count2, count1, count21, count12, freq2, freq1, freq21, freq12, header1, header2, id2, id1, meta2, meta1, store) } /** * Header string, used for tabular output */ public String getHeader() { ["1_$MetadataTable.SAMPLE_ID_COLUMN", "2_$MetadataTable.SAMPLE_ID_COLUMN", OUTPUT_FIELDS.collect(), intersectMetrics.collect { it.shortName }, header1, header2].flatten().join("\t") } /** * Generic header string */ public static String HEADER = ["1_$MetadataTable.GENERIC_METADATA_TABLE.SAMPLE_ID_COLUMN", "2_$MetadataTable.GENERIC_METADATA_TABLE.SAMPLE_ID_COLUMN", OUTPUT_FIELDS.collect(), OverlapMetric.collect { it.shortName }, MetadataTable.GENERIC_METADATA_TABLE.columnHeader1, MetadataTable.GENERIC_METADATA_TABLE.columnHeader2].flatten().join("\t") /** * Plain text row for tabular output */ @Override public String toString() { [id1, id2, OUTPUT_FIELDS.collect { this."$it" }, intersectMetrics.collect { intersectMetricCache[it] }, meta1, meta2].flatten().join("\t") } } vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/overlap/permutations/000755 001750 001750 00000000000 13525023773 032472 5ustar00moellermoeller000000 000000 src/main/groovy/com/antigenomics/vdjtools/overlap/permutations/ContFactorClusterStats.groovy000644 001750 001750 00000003100 13525023773 040277 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.overlap.permutations class ContFactorClusterStats { // todo: implement } src/main/groovy/com/antigenomics/vdjtools/overlap/permutations/DiscreteFactorClusterStats.groovy000644 001750 001750 00000016775 13525023773 041164 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.overlap.permutations class DiscreteFactorClusterStats { private final List factorList = new ArrayList<>() private final List pointList = new ArrayList<>() private final Silhouette observedSilhouette public DiscreteFactorClusterStats(String fileName) { def reader = new File(fileName).newReader() reader.readLine() // id\tlabel\tfactor\tx\ty def line while ((line = reader.readLine()) != null) { def splitLine = line.split("\t") def factor = splitLine[2] def x = splitLine[3].toDouble(), y = splitLine[4].toDouble() factorList.add(factor) pointList.add(new Point(x, y)) } this.observedSilhouette = new Silhouette(factorList, pointList) } public HashMap performPermutations(int nPerms) { def summaryByFactor = new HashMap() factorList.each { String factor -> def obsDist = observedSilhouette[factor] summaryByFactor.put(factor, new Summary(nPerms, obsDist.within, obsDist.between)) } if (summaryByFactor.keySet().size() < 2) return null for (int i = 0; i < nPerms; i++) { def factorListCopy = new ArrayList(factorList) Collections.shuffle(factorListCopy) def permutedSilhouette = new Silhouette(factorListCopy, pointList) factorList.unique(false).each { String factor -> def permDist = permutedSilhouette[factor] summaryByFactor[factor].add(permDist) } } summaryByFactor } public static void writeSummary(HashMap summaryByFactor, String cacheFileName) { new File(cacheFileName).withPrintWriter { pw -> pw.println("factor\ttype\tperm\tobs\tp") summaryByFactor.each { def factor = it.key def summary = it.value summary.nPerms.times { int i -> // todo: finish with real silhouette index //pw.println([factor, // summary.getWithinPerm(i), summary.getBetweenPerm(i), // summary.withinObs, summary.betweenObs, // summary.withinP, summary.betweenP].join("\t")) pw.println([factor, "within", summary.getWithinPerm(i), summary.withinObs, summary.withinP].join("\t")) pw.println([factor, "between", summary.getBetweenPerm(i), summary.betweenObs, summary.betweenP].join("\t")) } } } } List getFactorList() { Collections.unmodifiableList(factorList) } private static class Silhouette { private final HashMap distancesMap = new HashMap<>() Silhouette(List factorList, List pointList) { int n = factorList.size() factorList.each { distancesMap.put(it, new Distances()) } for (int i = 0; i < n; i++) { for (int j = i + 1; j < n; j++) { double dist = pointList[i].dist(pointList[j]) if (factorList[i] != factorList[j]) { distancesMap[factorList[i]].addBetween(dist) distancesMap[factorList[j]].addBetween(dist) } else { distancesMap[factorList[i]].addWithin(dist) } } } } public Distances getAt(String factor) { distancesMap[factor] } } public static class Summary { private int nWithin, nBetween, n private final int nPerms private final double withinObs, betweenObs private final double[] withinPerm, betweenPerm Summary(int nPerms, double withinObs, double betweenObs) { this.nPerms = nPerms this.withinObs = withinObs this.betweenObs = betweenObs this.withinPerm = new double[nPerms] this.betweenPerm = new double[nPerms] } public void add(Distances distancesPerm) { if (distancesPerm.between > betweenObs) nBetween++ if (distancesPerm.within < withinObs) nWithin++ betweenPerm[n] = distancesPerm.between withinPerm[n] = distancesPerm.within n++ } public int getnPerms() { n } public double getBetweenPerm(int i) { betweenPerm[i] } public double getWithinPerm(int i) { withinPerm[i] } public double getBetweenObs() { betweenObs } public double getWithinObs() { withinObs } public double getBetweenP() { nBetween / (double) n } public double getWithinP() { nWithin / (double) n } } private static class Distances { private double withinDistSum = 0, betweenDistSum = 0 private int kWithin = 0, kBetween = 0 public void addWithin(double dist) { withinDistSum += dist kWithin++ } public void addBetween(double dist) { betweenDistSum += dist kBetween++ } public double getWithin() { withinDistSum / kWithin } public double getBetween() { betweenDistSum / kBetween } } private static class Point { private final double x, y Point(double x, double y) { this.x = x this.y = y } public double dist(Point other) { double dx = x - other.x, dy = y - other.y Math.sqrt(dx * dx + dy * dy) } } } src/main/groovy/com/antigenomics/vdjtools/overlap/CalcPairwiseDistances.groovy000644 001750 001750 00000012225 13525023773 035336 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.overlap import com.antigenomics.vdjtools.misc.Software import com.antigenomics.vdjtools.basic.SegmentUsage import com.antigenomics.vdjtools.sample.SampleCollection import static com.antigenomics.vdjtools.misc.ExecUtil.formOutputPath import static com.antigenomics.vdjtools.misc.ExecUtil.toPlotPath import static com.antigenomics.vdjtools.misc.RUtil.execute def I_TYPE_DEFAULT = "aa" def cli = new CliBuilder(usage: "CalcPairwiseDistances [options] " + "[sample1 sample2 sample3 ... if not -m] output_prefix") cli.h("display help message") cli.m(longOpt: "metadata", argName: "filename", args: 1, "Metadata file. First and second columns should contain file name and sample id. " + "Header is mandatory and will be used to assign column names for metadata.") cli._(longOpt: "low-mem", "Will process all sample pairs sequentially, avoiding" + " loading all of them into memory. Slower but memory-efficient mode.") cli.i(longOpt: "intersect-type", argName: "string", args: 1, "Intersection rule to apply. Allowed values: $OverlapType.allowedNames. " + "Will use '$I_TYPE_DEFAULT' by default.") cli._(longOpt: "plot-type", argName: "pdf|png", args: 1, "Plot output format [default=pdf]") cli.p(longOpt: "plot", "[plotting] Turns plotting on.") def opt = cli.parse(args) if (opt == null) { //cli.usage() System.exit(2) } if (opt.h) { cli.usage() System.exit(0) } // Check if metadata is provided def metadataFileName = opt.m if (metadataFileName ? opt.arguments().size() != 1 : opt.arguments().size() < 4) { if (metadataFileName) println "[ERROR] Only output prefix should be provided in case of -m" else println "[ERROR] At least 3 sample file names should be provided if not using -m" cli.usage() System.exit(2) } def outputPrefix = opt.arguments()[-1], lowMem = (boolean) opt.'low-mem', plot = (boolean) opt.p, plotType = (opt.'plot-type' ?: "pdf").toString() def scriptName = getClass().canonicalName.split("\\.")[-1] // Select overlap type def iName = opt.i ?: I_TYPE_DEFAULT def intersectionType = OverlapType.getByShortName(iName) if (!intersectionType) { println "[ERROR] Bad overlap type specified ($iName). " + "Allowed values are: $OverlapType.allowedNames" System.exit(2) } // // Batch load all samples // println "[${new Date()} $scriptName] Reading samples" boolean store, lazy (store, lazy) = lowMem ? [false, true] : [true, false] def sampleCollection = metadataFileName ? new SampleCollection((String) metadataFileName, Software.VDJtools, store, lazy) : new SampleCollection(opt.arguments()[0..-2], Software.VDJtools, store, lazy) if (sampleCollection.size() < 3) { println "[ERROR] Metadata file should contain at least 3 samples" System.exit(2) } println "[${new Date()} $scriptName] ${sampleCollection.size()} samples loaded" // // Perform overlap for all specified overlap types // println "[${new Date()} $scriptName] Intersecting by $intersectionType" SegmentUsage.VERBOSE = false Overlap.VERBOSE = false OverlapEvaluator.VERBOSE = false def pairedIntersectionBatch = new PairwiseOverlap(sampleCollection, intersectionType) println "[${new Date()} $scriptName] Writing results" def outputFileName = formOutputPath(outputPrefix, "intersect", "batch", intersectionType.shortName) new File(outputFileName).withPrintWriter { pw -> pw.println(pairedIntersectionBatch.header) pw.println(pairedIntersectionBatch.toString()) } if (plot) { println "[${new Date()} $scriptName] Plotting" execute("pairwise_distance_plot.r", outputFileName, toPlotPath(outputFileName, plotType)) } println "[${new Date()} $scriptName] Finished"src/main/groovy/com/antigenomics/vdjtools/overlap/OverlapMetricNormalization.groovy000644 001750 001750 00000005232 13525023773 036455 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.overlap /** * Normalization type that is recommended for a given IntersectMetric, * should transform overlap metric value to {@code [0 , +inf)} scale. */ public enum OverlapMetricNormalization { /** * Negative logarithm normalization {@code -log10(x + 1e-9)}. */ /* */ NegLog(0), /** * Correlation metrics, normalized as {@code ( 1 - x ) /2}. */ R(1), /** * Simialrity index, normalized as {@code ( 1 - x )}. */ Index(2), /** * Metrics for which normalization is not required. */ None(-1) /** * Normalization type ID, used for passing to R scripts as argument. */ public final int id private OverlapMetricNormalization(int id) { this.id = id } /** * Normalize raw overlap metric accordingly. * @param x overlap metric value. * @return normalized value. */ public double normalize(double x) { switch (this) { case NegLog: return -Math.log10(x + 1e-9) case R: return (1.0 - x) / 2 case Index: return 1.0 - x } x } }vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/overlap/OverlapMetric.groovy000644 001750 001750 00000010106 13525023773 033761 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.overlap import static com.antigenomics.vdjtools.overlap.OverlapMetricNormalization.* /** * An enum that defines overlap metric, a function that characterizes the extent of overlap between a pair of samples. */ public enum OverlapMetric { /** * Correlation between sample frequencies of _overlapping_ clonotypes */ /* */ Correlation("R", R), /** * Spearman Correlation between sample frequencies of _overlapping_ clonotypes */ /* */ CorrelationS("Rs", R), /** * Ratio of observed to expected numbers of unique overlapping clonotypes, {@code div12 / div1 / div2} */ Diversity("D", NegLog), /** * Geometric mean of sums of frequencies of overlapping clonotypes, {@code sqrt ( freq12 * freq21 )} */ Frequency("F", NegLog), /** * Sum of geometric means of frequencies of overlapping clonotypes, {@code sum ( sqrt ( freq12(i) * freq21(i) ) ), i = 1..div12} */ Frequency2("F2", NegLog), /** * Jensen-Shannon divergence between Variable segment usage vectors */ vJSD("vJSD", None), /** * Jensen-Shannon divergence between concatenated Variable and Joining segment usage vectors */ vjJSD("vjJSD", None), /** * Jensen-Shannon divergence between flattened Variable-Joining segment pairing matrices */ vj2JSD("vj2JSD", None), /** * Jensen-Shannon divergence between spectratypes */ sJSD("sJSD", None), /** * Jaccard index */ Jaccard("Jaccard", Index), /* ChaoJaccard("ChaoJaccard", Index), ChaoSorensen("ChaoSorensen", Index), */ /** * MorisitaHorn index */ MorisitaHorn("MorisitaHorn", Index) public final String shortName public final OverlapMetricNormalization normalization /** * Defines a new overlap metric * @param shortName short name * @param normalization normalization type */ public OverlapMetric(String shortName, OverlapMetricNormalization normalization) { this.shortName = shortName this.normalization = normalization } /** * Gets {@code IntersectMetric} by short name * @param shortName short name * @return */ public static OverlapMetric getByShortName(String name) { name = name.toUpperCase() values().find { it.shortName.toUpperCase() == name } } /** * A list of existing {@code IntersectMetric} short names */ public static String allowedNames = values().collect { it.shortName }.join(",") }vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/overlap/PairwiseOverlap.groovy000644 001750 001750 00000016175 13525023773 034335 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.overlap import com.antigenomics.vdjtools.sample.SampleCollection import com.antigenomics.vdjtools.sample.SamplePair import com.antigenomics.vdjtools.sample.metadata.MetadataTable import com.antigenomics.vdjtools.misc.ExecUtil import groovyx.gpars.GParsPool import java.util.concurrent.atomic.AtomicInteger /** * A class that implements all-vs-all paired overlap for a sample collection and * holds information on those intersections in a manner it could be easily accessed */ public class PairwiseOverlap { private final SampleCollection sampleCollection private final OverlapType intersectionType private final Collection intersectMetrics private final Overlap[][] pairedIntersectionCache private final int numberOfSamples /** * Intersects clonotype lists for all unique pairs of samples in a given sample collection. * Will load both samples into memory for the initialization step. * Pre-computes all overlap metrics. * @param sampleCollection a list of samples * @param intersectionType clonotype matching rule */ public PairwiseOverlap(SampleCollection sampleCollection, OverlapType intersectionType) { this(sampleCollection, intersectionType, false, false) } /** * Intersects clonotype lists for all unique pairs of samples in a given sample collection. * Pre-computes all overlap metrics. * @param sampleCollection a list of samples * @param intersectionType clonotype matching rule * @param store holds all samples in memory if set to {@code true} * @param lowMem if set to {@code true}, will not load all samples in memory, but rather load a sample pair at each step */ public PairwiseOverlap(SampleCollection sampleCollection, OverlapType intersectionType, boolean store, boolean lowMem) { this(sampleCollection, intersectionType, store, lowMem, OverlapMetric.values()) } /** * Intersects clonotype lists for all unique pairs of samples in a given sample collection * @param sampleCollection a list of samples * @param intersectionType clonotype matching rule * @param store holds all samples in memory if set to {@code true} * @param lowMem if set to {@code true}, will not load all samples in memory, but rather load a sample pair at each step * @param intersectMetrics a list of overlap metrics that should be pre-computed */ public PairwiseOverlap(SampleCollection sampleCollection, OverlapType intersectionType, boolean store, boolean lowMem, Collection intersectMetrics) { if (store && lowMem) throw new Exception("Isn't it illogical to use 'store' and 'lowMem' options simultaneously?") this.sampleCollection = sampleCollection this.intersectionType = intersectionType this.intersectMetrics = intersectMetrics this.numberOfSamples = sampleCollection.size() this.pairedIntersectionCache = new Overlap[numberOfSamples][numberOfSamples] int totalPairs = numberOfSamples * (numberOfSamples - 1) / 2 def progressCounter = new AtomicInteger() def intersect = { SamplePair pair -> pairedIntersectionCache[pair.i][pair.j] = new Overlap(pair, intersectionType, store, intersectMetrics) int progr if ((progr = progressCounter.incrementAndGet()) % 10 == 0) { ExecUtil.report(this, "Processed $progr of $totalPairs pairs. " + ExecUtil.memoryFootprint()) } } ExecUtil.report(this, "Started batch overlap for $numberOfSamples samples ($totalPairs pairs)") if (lowMem) { for (int i = 0; i < numberOfSamples - 1; i++) { def pairs = sampleCollection.listPairs(i) pairs.each(intersect) } } else { def pairs = sampleCollection.listPairs() GParsPool.withPool ExecUtil.THREADS, { pairs.eachParallel(intersect) } } } /** * Gets a paired overlap for a given pair of samples * @param i first sample index * @param j second sample index * @return {@code PairedIntersection} for samples ordered as {@code [i , j]}. Will return {@code null} if {@code i == j} * @throws {@code IndexOutOfBoundsException} if {@code i} or {@code j} are not in {@code [0 , numberOfSamples)} */ public Overlap getAt(int i, int j) { if (i == j) return null // todo: re-implement with dummy batch overlap boolean reverse = i > j if (reverse) (i, j) = [j, i] if (i >= numberOfSamples || j < 0) throw new IndexOutOfBoundsException() reverse ? pairedIntersectionCache[i][j] : pairedIntersectionCache[i][j].reverse } /** * Header string, used for tabular output */ public String getHeader() { ["1_$MetadataTable.SAMPLE_ID_COLUMN", "2_$MetadataTable.SAMPLE_ID_COLUMN", Overlap.OUTPUT_FIELDS.collect(), intersectMetrics.collect { it.shortName }, sampleCollection.metadataTable.columnHeader1, sampleCollection.metadataTable.columnHeader2].flatten().join("\t") } /** * Plain text row for tabular output */ @Override public String toString() { (0..<(numberOfSamples - 1)).collect { int i -> ((i + 1).. pairedIntersectionCache[i][j].toString() } }.flatten().join("\n") } }vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/overlap/OverlapType.groovy000644 001750 001750 00000007461 13525023773 033471 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.overlap /** * An enum that defines the clonotype matching rule. * Used both when collapsing "identical" clonotypes in a sample and when matching clonotypes between samples */ public enum OverlapType { /** * Intersection rule. Clonotypes match if their CDR3 nucleotide sequences match */ /* */ Nucleotide("nt", false), /** * Intersection rule. Clonotypes match if both V segments and CDR3 nucleotide sequences match */ NucleotideV("ntV", false), /** * Intersection rule. Clonotypes match if both V, J segments and CDR3 nucleotide sequences match */ NucleotideVJ("ntVJ", false), /** * Intersection rule. Clonotypes match if their CDR3 amino acid sequences match */ AminoAcid("aa", true), /** * Intersection rule. Clonotypes match if both V segments and CDR3 amino acid sequences match */ AminoAcidV("aaV", true), /** * Intersection rule. Clonotypes match if both V, J segments and CDR3 amino acid sequences match */ AminoAcidVJ("aaVJ", true), /** * Intersection rule. Clonotypes match if their CDR3 amino acid sequences match, * but their CDR3 nucleotide sequences do not match. Contamination-proof matching */ AminoAcidNonNucleotide("aa!nt", true), /** * Intersection rule. Clonotypes match if both V, J segments, somatic hypermutations and CDR3 nucleotide sequences match */ Strict("strict", false) final String shortName final boolean aminoAcid /** * Defines a new clonotype matching rule * @param shortName short name * @param aminoAcid if {@code true} matching relies on amino acid sequences; {@code false} for nucleotide sequences */ public OverlapType(String shortName, boolean aminoAcid) { this.shortName = shortName this.aminoAcid = aminoAcid } /** * Gets {@code IntersectionType} by short name * @param shortName short name * @return */ public static OverlapType getByShortName(String shortName) { values().find { it.shortName.toUpperCase() == shortName.toUpperCase() } } /** * A list of existing {@code IntersectionType} short names */ public static String allowedNames = values().collect { it.shortName }.join(",") } vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/overlap/TrackClonotypes.groovy000644 001750 001750 00000025107 13525023773 034340 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.overlap import com.antigenomics.vdjtools.misc.Software import com.antigenomics.vdjtools.io.SampleWriter import com.antigenomics.vdjtools.join.JointSample import com.antigenomics.vdjtools.join.OccurrenceJoinFilter import com.antigenomics.vdjtools.join.SampleSpecificJoinFilter import com.antigenomics.vdjtools.sample.Sample import com.antigenomics.vdjtools.sample.SampleCollection import com.antigenomics.vdjtools.sample.metadata.MetadataTable import com.antigenomics.vdjtools.misc.RUtil import static com.antigenomics.vdjtools.misc.ExecUtil.formOutputPath import static com.antigenomics.vdjtools.misc.ExecUtil.toPlotPath def I_TYPE_DEFAULT = "strict", TOP_DEFAULT = "100", TOP_MAX = 200 def cli = new CliBuilder(usage: "TrackClonotypes [options] " + "[sample1 sample2 sample3 ... if -m is not specified] output_prefix") cli.h("display help message") // General cli.m(longOpt: "metadata", argName: "filename", args: 1, "Metadata file. First and second columns should contain file name and sample id. " + "Header is mandatory and will be used to assign column names for metadata." + "If column named 'time' is present, it will be used to specify time point sequence.") cli.i(longOpt: "intersect-type", argName: "string", args: 1, "Intersection rule to apply. Allowed values: $OverlapType.allowedNames. " + "Will use '$I_TYPE_DEFAULT' by default.") // Tracking and output cli.x(longOpt: "track-sample", argName: "int", args: 1, "A zero-based index of time point to track. " + "Will otherwise consider all clonotypes that were detected in 2+ samples") cli.t(longOpt: "top", args: 1, "Number of top clonotypes which will be provided in the collapsed joint table " + "and shown on the summary stacked area plot. " + "Values > $TOP_MAX are not allowed, as they would make the plot unreadable. [default = $TOP_DEFAULT]") cli.c(longOpt: "compress", "Compress output sample files.") // Plotting cli.s(longOpt: "sequence", argName: "[t1,t2,t3,...]", args: 1, "[plotting] Time point sequence. Unused if -m is specified. " + "If not specified, either time values from metadata, " + "or sample indexes (as in command line) are used.") cli.f(longOpt: "factor", argName: "string", args: 1, "[plotting] Column name, as in metadata. Factor to be treated as time variable. [default = \"time\"]") cli.p(longOpt: "plot", "[plotting] Turns on plotting.") cli._(longOpt: "plot-type", argName: "pdf|png", args: 1, "Plot output format [default=pdf]") def opt = cli.parse(args) if (opt == null) { System.exit(2) } if (opt.h) { cli.usage() System.exit(2) } // Check if metadata is provided def metadataFileName = opt.m if (metadataFileName ? opt.arguments().size() != 1 : opt.arguments().size() < 4) { if (metadataFileName) println "Only output prefix should be provided in case of -m" else println "At least 3 sample files should be provided if not using -m" cli.usage() System.exit(2) } // Other parameters def trackSample = (opt.x ?: "-1").toInteger(), plot = (boolean) opt.p, compress = (boolean) opt.c, timeFactor = opt.f ?: "time", outputPrefix = opt.arguments()[-1], plotType = (opt.'plot-type' ?: "pdf").toString() def scriptName = getClass().canonicalName.split("\\.")[-1] // Select overlap type def iName = opt.i ?: I_TYPE_DEFAULT def intersectionType = OverlapType.getByShortName(iName) if (!intersectionType) { println "[ERROR] Bad overlap type specified ($iName). " + "Allowed values are: $OverlapType.allowedNames" System.exit(2) } // Define number of clonotypes to show explicitly def top = (opt.t ?: TOP_DEFAULT).toInteger() if (top > TOP_MAX) { println "[ERROR] Specified number of top clonotypes should not exceed $TOP_MAX" System.exit(2) } // // Batch load samples // println "[${new Date()} $scriptName] Reading in all samples" def sampleCollection = metadataFileName ? new SampleCollection((String) metadataFileName, Software.VDJtools, true, false) : new SampleCollection(opt.arguments()[0..-2], Software.VDJtools, true, false) def metadataTable = sampleCollection.metadataTable if (sampleCollection.size() < 3) { println "[ERROR] Metadata file should contain at least 3 samples" System.exit(2) } println "[${new Date()} $scriptName] ${sampleCollection.size()} samples loaded" // // Get time points & sort samples // // get time points (this will be unused if metadata already contains $timeFactor column) def timePoints = opt.s ? (opt.s.toString())[1..-2].split(",").collect() : // [-10,0.5,1,20] (0..) } metadataTable.sort(timeFactor) // Take sorted values from metadata timePoints = metadataTable.getColumn(timeFactor).collect { it.asNumeric().toString() } println "[${new Date()} $scriptName] Time points " + "${timePoints.join(",")} and corresponding samples ${metadataTable.sampleIterator.collect().join(",")} " + "will be processed" // // Join samples // println "[${new Date()} $scriptName] Joining samples by ${intersectionType}" def jointSample = new JointSample(intersectionType, sampleCollection.collect() as Sample[], trackSample > -1 ? new SampleSpecificJoinFilter(trackSample) : new OccurrenceJoinFilter(2)) jointSample.computeAndCorrectSamplingPValues() // // Write output tables // println "[${new Date()} $scriptName] Writing tabular output" def sampleWriter = new SampleWriter(compress) sampleWriter.write(jointSample, formOutputPath(outputPrefix, "tracking", intersectionType.shortName, "table")) def tableCollapsedOutputPath = formOutputPath(outputPrefix, "tracking", intersectionType.shortName, "table", "collapsed") if (top >= 0) { sampleWriter = new SampleWriter(false) sampleWriter.write(jointSample, tableCollapsedOutputPath, top, true) } // // Write summary output // println "[${new Date()} $scriptName] Writing output" def summaryOutputPath = formOutputPath(outputPrefix, "tracking", intersectionType.shortName, "summary") new File(summaryOutputPath).withPrintWriter { pw -> pw.println("1_$MetadataTable.SAMPLE_ID_COLUMN\t2_$MetadataTable.SAMPLE_ID_COLUMN\t" + "value\tmetric\t1_time\t2_time\t" + sampleCollection.metadataTable.columnHeader1 + "\t" + sampleCollection.metadataTable.columnHeader2) double[][] freqTable = new double[n][n], divTable = new double[n][n], countTable = new double[n][n] for (int i = 0; i < n; i++) { for (int j = 0; j < n; j++) { freqTable[i][j] = jointSample.getIntersectionFreq(i, j) countTable[i][j] = jointSample.getIntersectionCount(i, j) divTable[i][j] = jointSample.getIntersectionDiv(i, j) } } for (int i = 0; i < jointSample.numberOfSamples; i++) { for (int j = 0; j < jointSample.numberOfSamples; j++) { def ids = [i, j].collect { jointSample.getSample(it).sampleMetadata.sampleId }.join("\t"), metadata = [i, j].collect { jointSample.getSample(it).sampleMetadata.toString() }.join("\t") def pointPair = [timePoints[i], timePoints[j]] if (i != j) { pw.println([ids, RUtil.asNumeric(freqTable[i][j]), "frequency", pointPair, metadata].flatten().join("\t")) pw.println([ids, RUtil.asNumeric(divTable[i][j]), "diversity", pointPair, metadata].flatten().join("\t")) pw.println([ids, RUtil.asNumeric(countTable[i][j]), "count", pointPair, metadata].flatten().join("\t")) } else { pw.println([ids, "NA", "frequency", pointPair, metadata].flatten().join("\t")) pw.println([ids, "NA", "diversity", pointPair, metadata].flatten().join("\t")) pw.println([ids, "NA", "count", pointPair, metadata].flatten().join("\t")) } } } } // // Plotting via R // if (plot) { println "[${new Date()} $scriptName] Writing plots" // Plot all the heatmaps RUtil.execute("tracking_similarity_map.r", summaryOutputPath, toPlotPath(summaryOutputPath, plotType)) // Plot a stack plot of top X clonotype abundances RUtil.execute("tracking_stackplot.r", timeFactor, timePoints.join(","), tableCollapsedOutputPath, formOutputPath(outputPrefix, "tracking", intersectionType.shortName, "stackplot", "pdf")) // Plot a "heatcourse" plot of top X clonotype abundances RUtil.execute("tracking_heatcourse.r", timeFactor, timePoints.join(","), tableCollapsedOutputPath, formOutputPath(outputPrefix, "tracking", intersectionType.shortName, "heatplot", "pdf")) }vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/overlap/OverlapEvaluator.groovy000644 001750 001750 00000022232 13525023773 034503 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.overlap import com.antigenomics.vdjtools.basic.SegmentUsage import com.antigenomics.vdjtools.basic.Spectratype import com.antigenomics.vdjtools.join.JointSample import com.antigenomics.vdjtools.sample.Sample import com.antigenomics.vdjtools.misc.ExecUtil import com.antigenomics.vdjtools.misc.MathUtil import org.apache.commons.math3.stat.correlation.PearsonsCorrelation import org.apache.commons.math3.stat.correlation.SpearmansCorrelation import static com.antigenomics.vdjtools.overlap.OverlapMetric.* /** * A helper class to compute various overlap metrics for joint overlap */ class OverlapEvaluator { public static boolean VERBOSE = true private final JointSample jointSample private SegmentUsage segmentUsageCache private final Spectratype[] spectratypeCache private final Map metricCache = new HashMap<>() /** * Sets up an instance that can compute overlap metrics for a pre-defined set of sample intersections * @param jointSample a result of overlap between sample pair(s) */ public OverlapEvaluator(JointSample jointSample) { this.jointSample = jointSample this.spectratypeCache = new Spectratype[jointSample.numberOfSamples] } /** * INTERNAL gets spectratype, for spectratype JSD metrics * @param sampleIndex * @return */ private Spectratype getSpectratype(int sampleIndex) { if (!spectratypeCache[sampleIndex]) { spectratypeCache[sampleIndex] = new Spectratype(jointSample.getSample(sampleIndex), jointSample.overlapType, false) } spectratypeCache[sampleIndex] } /** * INTERNAL gets segment usage, for V/J/V+J/V*J JSD metrics * @param sampleIndex * @return */ private SegmentUsage getSegmentUsage() { if (!segmentUsageCache) { segmentUsageCache = new SegmentUsage((0.. 2) { def x = new double[n], y = new double[n] int k = 0 jointSample.each { if (it.present(i) && it.present(j)) { x[k] = it.getFreq(i) y[k] = it.getFreq(j) } k++ } R = metric == CorrelationS ? new SpearmansCorrelation().correlation(x, y) : new PearsonsCorrelation().correlation(x, y) } if (Double.isNaN(R)) { R = 0 } return R case Jaccard: def div1 = jointSample.getSample(i).diversity, div2 = jointSample.getSample(j).diversity, div12 = jointSample.getIntersectionDiv(i, j) return div12 / (div1 + div2 - div12) /* case ChaoSorensen: case ChaoJaccard: double U1 = 0, U2 = 0, V1 = 0, V2 = 0, f11 = 0, f12 = 0, f21 = 0, f22 = 0; double n = jointSample.getSample(i).diversity, m = jointSample.getSample(j).diversity jointSample.each { if (it.present(i) && it.present(j)) { int x = it.getCount(i), y = it.getCount(j) if (x == 1) { f11++ V2 += y } else if (x == 2) { f12++ } if (y == 1) { f21++ U2 += x } else if (y == 2) { f22++ } U1 += x V1 += y } } f22 = f22 == 0 ? 1 : f22 f12 = f12 == 0 ? 1 : f12 double U = (U1 + f21 / f22 / 2 * (m - 1) / m * U2) / n, V = (V1 + f11 / f12 / 2 * (n - 1) / n * V2) / m U = Math.min(U, 1) V = Math.min(V, 1) return U * V / (metric == ChaoSorensen ? ((U + V) / 2) : (U + V - U * V)) */ case MorisitaHorn: double xy = 0, Dx = 0, Dy = 0, x, y jointSample.each { x = it.getFreq(i) y = it.getFreq(j) xy += x * y Dx += x * x Dy += y * y } return 2 * xy / (Dx + Dy) case vJSD: return MathUtil.JSD( segmentUsage.vUsageVector(0), segmentUsage.vUsageVector(1)) case vjJSD: return MathUtil.JSD( [segmentUsage.vUsageVector(0).collect(), segmentUsage.jUsageVector(0).collect()].flatten() as double[], [segmentUsage.vUsageVector(1).collect(), segmentUsage.jUsageVector(1).collect()].flatten() as double[]) case vj2JSD: return MathUtil.JSD( segmentUsage.vjUsageMatrix(0).collect().flatten() as double[], segmentUsage.vjUsageMatrix(1).collect().flatten() as double[]) case sJSD: return MathUtil.JSD(getSpectratype(i).histogram, getSpectratype(j).histogram) default: throw new UnsupportedOperationException() } } /** * Computes specified overlap metric for a pair of samples * @param metric overlap metric type * @param i index of first sample in pair * @param j index of second sample in pair * @return overlap metric value */ public double computeIntersectionMetric(OverlapMetric metric, int i, int j) { def key = [metric.shortName, i, j].join("_") def value = metricCache[key] if (!value) metricCache.put(key, value = _computeIntersectionMetric(metric, i, j)) value } /** * Computes specified overlap metric for the first pair of samples * @param metric overlap metric type * @return overlap metric value */ public double computeIntersectionMetric(OverlapMetric intersectMetric) { computeIntersectionMetric(intersectMetric, 0, 1) } } vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/overlap/OverlapPair.groovy000644 001750 001750 00000014751 13525023773 033443 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.overlap import com.antigenomics.vdjtools.misc.Software import com.antigenomics.vdjtools.io.SampleWriter import com.antigenomics.vdjtools.sample.SampleCollection import static com.antigenomics.vdjtools.misc.ExecUtil.formOutputPath import static com.antigenomics.vdjtools.misc.ExecUtil.toPlotPath import static com.antigenomics.vdjtools.misc.RUtil.execute def I_TYPE_DEFAULT = "strict", TOP_DEFAULT = "20", TOP_MAX = 100 def cli = new CliBuilder(usage: "OverlapPair [options] sample1 sample2 output_prefix") cli.h("display help message") cli.i(longOpt: "intersect-type", argName: "string", args: 1, "Intersection rule to apply. Allowed values: $OverlapType.allowedNames. " + "Will use '$I_TYPE_DEFAULT' by default.") cli.t(longOpt: "top", args: 1, "Number of top clonotypes which will be provided in the collapsed joint table " + "and shown on the summary stacked area plot. " + "Values > $TOP_MAX are not allowed, as they would make the plot unreadable. [default = $TOP_DEFAULT]") cli.p(longOpt: "plot", "Generate a scatterplot to characterize overlapping clonotypes. " + "Also generate abundance difference plot if -c option is specified. " + "(R installation with ggplot2, grid and gridExtra packages required).") cli._(longOpt: "plot-type", argName: "pdf|png", args: 1, "Plot output format [default=pdf]") cli.c(longOpt: "compress", "Compress output sample files.") cli._(longOpt: "plot-area-v2", "Use alternative stacked area plot.") def opt = cli.parse(args) if (opt == null) System.exit(2) if (opt.h || opt.arguments().size() < 3) { cli.usage() System.exit(2) } def sample1FileName = opt.arguments()[0], sample2FileName = opt.arguments()[1], outputPrefix = opt.arguments()[2], compress = (boolean) opt.c, plotType = (opt.'plot-type' ?: "pdf").toString() def scriptName = getClass().canonicalName.split("\\.")[-1] // Select overlap type def iName = opt.i ?: I_TYPE_DEFAULT def intersectionType = OverlapType.getByShortName(iName) if (!intersectionType) { println "[ERROR] Bad overlap type specified ($iName). " + "Allowed values are: $OverlapType.allowedNames" System.exit(2) } // Define number of clonotypes to show explicitly def top = (opt.t ?: TOP_DEFAULT).toInteger() if (top > TOP_MAX) { println "[ERROR] Specified number of top clonotypes should not exceed $TOP_MAX" System.exit(2) } // // Load samples // println "[${new Date()} $scriptName] Reading samples $sample1FileName and $sample2FileName" def sampleCollection = new SampleCollection([sample1FileName, sample2FileName], Software.VDJtools, true, false) // // Perform an overlap by CDR3NT & V segment // println "[${new Date()} $scriptName] Intersecting" def pairedIntersection = new Overlap(sampleCollection.listPairs()[0], intersectionType, true) def jointSample = pairedIntersection.jointSample jointSample.computeAndCorrectSamplingPValues() // // Generate and write output // println "[${new Date()} $scriptName] Writing output" new File(formOutputPath(outputPrefix, "paired", intersectionType.shortName, "summary")).withPrintWriter { pw -> pw.println(pairedIntersection.header) pw.println(pairedIntersection.toString()) } def sampleWriter = new SampleWriter(compress) sampleWriter.write(jointSample, formOutputPath(outputPrefix, "paired", intersectionType.shortName, "table")) def tableCollapsedOutputPath = formOutputPath(outputPrefix, "paired", intersectionType.shortName, "table", "collapsed") if (top >= 0) { sampleWriter = new SampleWriter(false) sampleWriter.write(jointSample, tableCollapsedOutputPath, top, true) } if (opt.p) { println "[${new Date()} $scriptName] Plotting" def sample1 = sampleCollection[0], sample2 = sampleCollection[1] def xyFile = new File(outputPrefix + ".xy.txt") xyFile.withPrintWriter { pw -> pw.println("x\ty") jointSample.each { jointClone -> pw.println((0..1).collect { sampleIndex -> jointClone.getFreq(sampleIndex) }.join("\t")) } } xyFile.deleteOnExit() def xxFile = new File(outputPrefix + ".xx.txt") xxFile.withPrintWriter { pw -> pw.println("xx") sample1.each { pw.println(it.freq) } } xxFile.deleteOnExit() def yyFile = new File(outputPrefix + ".yy.txt") yyFile.withPrintWriter { pw -> pw.println("yy") sample2.each { pw.println(it.freq) } } yyFile.deleteOnExit() execute("intersect_pair_scatter.r", sample1.sampleMetadata.sampleId, sample2.sampleMetadata.sampleId, outputPrefix + ".xy.txt", outputPrefix + ".xx.txt", outputPrefix + ".yy.txt", formOutputPath(outputPrefix, intersectionType.shortName, "paired", "scatter", plotType)) def areaPlot = opt.'plot-area-v2' ? "intersect_pair_area_v2.r" : "intersect_pair_area.r" execute(areaPlot, sample1.sampleMetadata.sampleId, sample2.sampleMetadata.sampleId, tableCollapsedOutputPath, toPlotPath(tableCollapsedOutputPath, plotType)) } println "[${new Date()} $scriptName] Finished" vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/operate/000755 001750 001750 00000000000 13525023773 027727 5ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/operate/JoinSamples.groovy000644 001750 001750 00000017143 13525023773 033430 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.operate import com.antigenomics.vdjtools.misc.Software import com.antigenomics.vdjtools.io.SampleWriter import com.antigenomics.vdjtools.join.JointSample import com.antigenomics.vdjtools.join.OccurrenceJoinFilter import com.antigenomics.vdjtools.overlap.OverlapType import com.antigenomics.vdjtools.sample.Sample import com.antigenomics.vdjtools.sample.SampleCollection import static com.antigenomics.vdjtools.misc.ExecUtil.formOutputPath import static com.antigenomics.vdjtools.misc.RUtil.asNumeric import static com.antigenomics.vdjtools.misc.RUtil.execute def I_TYPE_DEFAULT = "aa", DEFAULT_TIMES_DETECTED = "2" def cli = new CliBuilder(usage: "JoinSamples [options] " + "[sample1 sample2 sample3 ... if -m is not specified] output_prefix") cli.h("display help message") // General cli.m(longOpt: "metadata", argName: "filename", args: 1, "Metadata file. First and second columns should contain file name and sample id. " + "Header is mandatory and will be used to assign column names for metadata." + "If column named 'time' is present, it will be used to specify time point sequence.") cli.i(longOpt: "intersect-type", argName: "string", args: 1, "Intersection rule to apply. Allowed values: $OverlapType.allowedNames. " + "Will use '$I_TYPE_DEFAULT' by default.") // Tracking and output cli.x(longOpt: "times-detected", argName: "int", args: 1, "Minimal number of samples where clonotype should be detected. " + "[default = $DEFAULT_TIMES_DETECTED]") cli.c(longOpt: "compress", "Compress output sample files.") // Plotting cli._(longOpt: "plot-type", argName: "pdf|png", args: 1, "Plot output format [default=pdf]") cli.p(longOpt: "plot", "[plotting] Turns on plotting.") def opt = cli.parse(args) if (opt == null) { System.exit(2) } if (opt.h) { cli.usage() System.exit(2) } // Check if metadata is provided def metadataFileName = opt.m if (metadataFileName ? opt.arguments().size() != 1 : opt.arguments().size() < 3) { if (metadataFileName) println "Only output prefix should be provided in case of -m" else println "At least 2 sample files should be provided if not using -m" cli.usage() System.exit(2) } // Other parameters def timesDetected = (opt.x ?: DEFAULT_TIMES_DETECTED).toInteger(), plot = (boolean) opt.p, outputPrefix = opt.arguments()[-1], compress = (boolean) opt.c, plotType = (opt.'plot-type' ?: "pdf").toString() def scriptName = getClass().canonicalName.split("\\.")[-1] // Select overlap type def iName = opt.i ?: I_TYPE_DEFAULT def intersectionType = OverlapType.getByShortName(iName) if (!intersectionType) { println "[ERROR] Bad overlap type specified ($iName). " + "Allowed values are: $OverlapType.allowedNames" System.exit(2) } // // Batch load samples // println "[${new Date()} $scriptName] Reading in all samples" def sampleCollection = metadataFileName ? new SampleCollection((String) metadataFileName, Software.VDJtools, true, false) : new SampleCollection(opt.arguments()[0..-2], Software.VDJtools, true, false) println "[${new Date()} $scriptName] ${sampleCollection.size()} samples loaded" // // Join samples // println "[${new Date()} $scriptName] Joining samples by ${intersectionType}" def jointSample = new JointSample(intersectionType, sampleCollection.collect() as Sample[], new OccurrenceJoinFilter(timesDetected)) // // Write output tables // println "[${new Date()} $scriptName] Writing tabular output" def sampleWriter = new SampleWriter(compress, true) sampleWriter.write(jointSample, formOutputPath(outputPrefix, "join", intersectionType.shortName, "table")) // // Write summary output // def div = (0..() println "[${new Date()} $scriptName] Enumerating clonotype occurrences" jointSample.each { clonotype -> def mask = (0.. clonotype.present(i) ? (i + 1) : "" }.join("") freqMap.put(mask, (freqMap[mask] ?: 0) + 1) } new File(formOutputPath(outputPrefix, "join", intersectionType.shortName, "summary")).withPrintWriter { pw -> pw.println(sampleCollection.collect { it.sampleMetadata.sampleId }.join("\t") + "\tclonotypes") sampleIds = (1..sampleCollection.size()).collect { it.toString() } div.each { entry -> pw.println( sampleIds.collect { it == entry.key ? 1 : 0 }.join("\t") + "\t" + entry.value ) } freqMap.sort { -it.value }.each { entry -> pw.println( sampleIds.collect { entry.key.contains(it) ? 1 : 0 }.join("\t") + "\t" + entry.value ) } } // Plot Venn diagram if (plot) { def countArea = { String sample -> asNumeric(div[sample]) } def countFreq = { String mask -> asNumeric(freqMap[mask] ?: 0) } println "[${new Date()} $scriptName] Plotting" // looks overly redundant, but that's how input arguments are passed in VennDiagram package execute("join_venn.r", countArea("1"), countArea("2"), countArea("3"), countArea("4"), countArea("5"), countFreq("12"), countFreq("13"), countFreq("14"), countFreq("15"), countFreq("23"), countFreq("24"), countFreq("25"), countFreq("34"), countFreq("35"), countFreq("45"), countFreq("123"), countFreq("124"), countFreq("125"), countFreq("134"), countFreq("135"), countFreq("145"), countFreq("234"), countFreq("235"), countFreq("245"), countFreq("345"), countFreq("1234"), countFreq("1235"), countFreq("1245"), countFreq("1345"), countFreq("2345"), countFreq("12345"), sampleCollection.collect { it.sampleMetadata.sampleId.replaceAll(/ +/, ".") }.join(","), formOutputPath(outputPrefix, "join", intersectionType.shortName, "venn", "pdf") ) } println "[${new Date()} $scriptName] Finished"vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/operate/PoolSamples.groovy000644 001750 001750 00000011765 13525023773 033446 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.operate import com.antigenomics.vdjtools.diversity.FrequencyTable import com.antigenomics.vdjtools.misc.Software import com.antigenomics.vdjtools.io.SampleWriter import com.antigenomics.vdjtools.overlap.OverlapType import com.antigenomics.vdjtools.pool.PooledSample import com.antigenomics.vdjtools.pool.SampleAggregator import com.antigenomics.vdjtools.pool.StoringClonotypeAggregatorFactory import com.antigenomics.vdjtools.sample.SampleCollection import com.antigenomics.vdjtools.misc.ExecUtil import static com.antigenomics.vdjtools.misc.ExecUtil.formOutputPath def I_TYPE_DEFAULT = "aa" def cli = new CliBuilder(usage: "PoolSamples [options] " + "[sample1 sample2 sample3 ... if not -m] output_prefix") cli.h("display help message") cli.m(longOpt: "metadata", argName: "filename", args: 1, "Metadata file. First and second columns should contain file name and sample id. " + "Header is mandatory and will be used to assign column names for metadata.") cli.i(longOpt: "intersect-type", argName: "string", args: 1, "Comma-separated list of overlap types to apply. " + "Allowed values: $OverlapType.allowedNames. " + "Will use '$I_TYPE_DEFAULT' by default.") cli.c(longOpt: "compress", "Compress output sample files.") def opt = cli.parse(args) if (opt == null) { System.exit(2) } if (opt.h) { cli.usage() System.exit(2) } // Check if metadata is provided def metadataFileName = opt.m if (metadataFileName ? opt.arguments().size() != 1 : opt.arguments().size() < 2) { if (metadataFileName) println "Only output prefix should be provided in case of -m" else println "At least 1 sample files should be provided if not using -m" cli.usage() System.exit(2) } def outputPrefix = opt.arguments()[-1], compress = (boolean) opt.c ExecUtil.ensureDir(outputPrefix) def scriptName = getClass().canonicalName.split("\\.")[-1] // Select overlap type def iName = opt.i ?: I_TYPE_DEFAULT def intersectionType = OverlapType.getByShortName(iName) if (!intersectionType) { println "[ERROR] Bad overlap type specified ($iName). " + "Allowed values are: $OverlapType.allowedNames" System.exit(2) } // // Batch load all samples // println "[${new Date()} $scriptName] Reading samples" def sampleCollection = metadataFileName ? new SampleCollection((String) metadataFileName, Software.VDJtools, false, true) : new SampleCollection(opt.arguments()[0..-2], Software.VDJtools, false, true) println "[${new Date()} $scriptName] ${sampleCollection.size()} samples loaded" // // Pool samples // println "[${new Date()} $scriptName] Pooling with $intersectionType, this may take a while" def cloneAggrFact = new StoringClonotypeAggregatorFactory() def sampleAggr = new SampleAggregator(sampleCollection, cloneAggrFact, intersectionType) // // Sort pooled sample and write output // println "[${new Date()} $scriptName] Normalizing and sorting pooled clonotypes" def pooledSample = new PooledSample(sampleAggr) println "[${new Date()} $scriptName] Writing output" def writer = new SampleWriter(compress, true) writer.write(pooledSample, formOutputPath(outputPrefix, "pool", intersectionType.shortName, "table")) def incidenceTable = new FrequencyTable(pooledSample) new File(formOutputPath(outputPrefix, "pool", intersectionType.shortName, "summary")).withPrintWriter { pw -> pw.println("clonotype.incidence\tnumber.of.clonotypes") pw.println(incidenceTable.toString()) } println "[${new Date()} $scriptName] Finished." vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/io/000755 001750 001750 00000000000 13525023773 026677 5ustar00moellermoeller000000 000000 src/main/groovy/com/antigenomics/vdjtools/io/FileInputStreamFactory.groovy000644 001750 001750 00000004543 13525023773 034500 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.io import com.antigenomics.vdjtools.sample.metadata.MetadataUtil import com.antigenomics.vdjtools.misc.CommonUtil /** * A file input stream factory. This factory creates a new file connection each time. */ public class FileInputStreamFactory implements InputStreamFactory { private final String fileName /** * Creates a new instance of file input stream factory associated with a given file name * @param fileName path to underlying file */ public FileInputStreamFactory(String fileName) { this.fileName = fileName } /** * @inheritDoc */ @Override public InputStream create() { CommonUtil.getFileStream(fileName) } /** * @inheritDoc */ @Override public String getId() { MetadataUtil.fileName2id(fileName) } String getFileName() { return fileName } } vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/io/DummySampleConnection.groovy000644 001750 001750 00000004371 13525023773 034430 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.io import com.antigenomics.vdjtools.sample.Sample /** * A wrapper for sample stored in memory */ public class DummySampleConnection implements SampleConnection { private final Sample sample /** * Wraps a given sample into a dummy sample connection * @param sample sample object which is assumed to be filled with clonotypes */ public DummySampleConnection(Sample sample) { this.sample = sample } /** * {@inheritDoc} */ @Override public Sample getSample() { sample } /** * {@inheritDoc} */ @Override public Sample haveAGlance() { sample } @Override public String toString() { "DummyFileConnection{.>${sample.sampleMetadata.sampleId}}" } } vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/io/parser/000755 001750 001750 00000000000 13525023773 030173 5ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/io/parser/MiGecParser.groovy000644 001750 001750 00000006764 13525023773 033620 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.io.parser import com.antigenomics.vdjtools.misc.Software import com.antigenomics.vdjtools.sample.Clonotype import com.antigenomics.vdjtools.sample.Sample import static com.antigenomics.vdjtools.misc.CommonUtil.* /** * A clonotype parser implementation that handles output from MiGEC software, see * {@url https://github.com/mikessh/migec} */ public class MiGecParser extends ClonotypeStreamParser { /** * {@inheritDoc} */ protected MiGecParser(Iterator innerIter, Sample sample) { super(innerIter, Software.MiGec, sample) } /** * {@inheritDoc} */ @Override protected Clonotype innerParse(String clonotypeString) { /* 0 Count 1 Fraction 2 CDR3 nucleotide sequence 3 CDR3 amino acid sequence 4 V segments 5 J segments 6 D segments 7 Last V nucleotide position 8 First D nucleotide position 9 Last D nucleotide position 10 First J nucleotide position 11 Good events 12 Total events 13 Good reads 14 Total reads */ def splitString = clonotypeString.split("\t") def count = splitString[0].toInteger() def freq = splitString[1].toDouble() def cdr3nt = splitString[2] def cdr3aa = toUnifiedCdr3Aa(splitString[3]) String v, j, d (v, j, d) = extractVDJ(splitString[4..6]) boolean inFrame = inFrame(cdr3aa), noStop = noStop(cdr3aa), isComplete = true def segmPoints = [ splitString[7].toInteger(), splitString[8].isInteger() ? splitString[8].toInteger() : -1, splitString[9].isInteger() ? splitString[9].toInteger() : -1, splitString[10].toInteger()] as int[] new Clonotype(sample, count, freq, segmPoints, v, d, j, cdr3nt, cdr3aa, inFrame, noStop, isComplete) } } vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/io/parser/MiTcrParser.groovy000644 001750 001750 00000006053 13525023773 033641 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.io.parser import com.antigenomics.vdjtools.misc.Software import com.antigenomics.vdjtools.sample.Clonotype import com.antigenomics.vdjtools.sample.Sample import static com.antigenomics.vdjtools.misc.CommonUtil.* /** * A clonotype parser implementation that handles output from MiTCR software, see * {@url http://mitcr.milaboratory.com/} */ public class MiTcrParser extends ClonotypeStreamParser { /** * {@inheritDoc} */ protected MiTcrParser(Iterator innerIter, Sample sample) { super(innerIter, Software.MiTcr, sample) } /** * {@inheritDoc} */ @Override protected Clonotype innerParse(String clonotypeString) { def splitString = clonotypeString.split(software.delimiter) def count = splitString[0].toInteger() def freq = splitString[1].toDouble() def cdr3nt = splitString[2] def cdr3aa = toUnifiedCdr3Aa(splitString[5]) // replace ~ String v, d, j (v, d, j) = extractVDJ(splitString[[7, 11, 9]]) def segmPoints = [splitString[12].toInteger(), splitString[13].isInteger() ? splitString[13].toInteger() : -1, splitString[14].isInteger() ? splitString[14].toInteger() : -1, splitString[15].toInteger()] as int[] boolean inFrame = inFrame(cdr3aa), noStop = noStop(cdr3aa), isComplete = true new Clonotype(sample, count, freq, segmPoints, v, d, j, cdr3nt, cdr3aa, inFrame, noStop, isComplete) } } vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/io/parser/BaseParser.groovy000644 001750 001750 00000007027 13525023773 033477 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.io.parser import com.antigenomics.vdjtools.misc.Software import com.antigenomics.vdjtools.sample.Clonotype import com.antigenomics.vdjtools.sample.Sample import static com.antigenomics.vdjtools.misc.CommonUtil.* /** * A clonotype parser implementation that handles simple tab-delimited input, see * {@url https://github.com/mikessh/vdjtools/wiki/Input#simple} */ public class BaseParser extends ClonotypeStreamParser { /** * {@inheritDoc} */ protected BaseParser(Iterator innerIter, Sample sample) { super(innerIter, Software.VDJtools, sample) } /** * {@inheritDoc} */ protected BaseParser(Iterator innerIter, Software software, Sample sample) { super(innerIter, software, sample) } /** * {@inheritDoc} */ @Override protected Clonotype innerParse(String clonotypeString) { def splitString = clonotypeString.split(software.delimiter) def count = splitString[0].toInteger() def freq = splitString[1].toDouble() def cdr3nt = splitString[2] def cdr3aa = splitString[3].length() == 0 || splitString[3] == PLACEHOLDER ? translate(splitString[3]) : splitString[3] cdr3aa = toUnifiedCdr3Aa(cdr3aa) String v, d, j (v, d, j) = extractVDJ(splitString[4..6]) boolean inFrame = inFrame(cdr3aa), noStop = noStop(cdr3aa), isComplete = true def segmPoints = (7..10).collect { (splitString.size() <= it || !splitString[it].isInteger()) ? -1 : splitString[it].toInteger() } as int[] new Clonotype(sample, count, freq, segmPoints, v, d, j, cdr3nt, cdr3aa, inFrame, noStop, isComplete, extractAnnotation(splitString)) } private static String extractAnnotation(String[] splitLine) { splitLine.size() > 11 ? splitLine[11..-1].join("\t") : null } @Override String getAnnotationHeader() { extractAnnotation(header[0].split("\t")) } } src/main/groovy/com/antigenomics/vdjtools/io/parser/ClonotypeStreamParser.groovy000644 001750 001750 00000024072 13525023773 035675 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.io.parser import com.antigenomics.vdjtools.misc.Segment import com.antigenomics.vdjtools.misc.Software import com.antigenomics.vdjtools.sample.Clonotype import com.antigenomics.vdjtools.sample.Sample import com.milaboratory.core.sequence.Sequence /** * Base class for providing parsing of various RepSeq software output. * The stream parser is not thread-safe. */ public abstract class ClonotypeStreamParser implements Iterable { private static final int WARNINGS_TO_DISPLAY = 5 protected final List header = new ArrayList<>() protected final Software software protected final Iterator innerIter protected final Sample sample private int skippedLineCount = 0, commentLineCount private boolean printedWarning = false private final boolean hasComment protected int totalLines = 0 protected final Map badClonotypeStats = ["NO_CDR3NT" : 0, "NO_CDR3AA" : 0, "NO_V" : 0, "NO_J" : 0, "ZERO_COUNT": 0, "ZERO_FREQ" : 0, "BAD_LINE" : 0]; /** * Creates a new instance of clonotype parser. * It is a clonotype factory wrapped around the specified input stream * @param innerIter object that iterates over file lines, i.e. rows in the clonotype table * @param software software used to create the clonotype table. Specifies the parser * @param sample a blank sample to fill up with clonotypes */ protected ClonotypeStreamParser(Iterator innerIter, Software software, Sample sample) { this.software = software this.innerIter = innerIter this.sample = sample this.hasComment = software.comment && software.comment.length() > 0 this.commentLineCount = software.headerLineCount } /** * Gets an instance of clonotype parser. * It is a clonotype factory wrapped around the specified input stream * @param inputStream input stream that will be read * @param software software used to create the clonotype table. Specifies the parser * @param sample a blank sample to fill up with clonotypes * @return clonotype parser object */ public static ClonotypeStreamParser create(InputStream inputStream, Software software, Sample sample) { ClonotypeStreamParser parser def reader = new BufferedReader(new InputStreamReader(inputStream)) def innerIter = reader.iterator() switch (software) { case Software.MiTcr: parser = new MiTcrParser(innerIter, sample) break case Software.MigMap: parser = new MigMapParser(innerIter, sample) break case Software.VDJtools: case Software.VDJtoolsRenorm: parser = new BaseParser(innerIter, sample) break case Software.MiGec: parser = new MiGecParser(innerIter, sample) break case Software.ImmunoSeq: parser = new ImmunoSeqParser(innerIter, sample) break case Software.ImmunoSeqV2: parser = new ImmunoSeqV2Parser(innerIter, sample) break case Software.ImgtHighVQuest: parser = new ImgtHighVQuestParser(innerIter, sample) break case Software.MiXcr: parser = new MiXcrParser(innerIter, sample) break case Software.ImSeq: parser = new ImSeqParser(innerIter, sample) break case Software.Vidjil: parser = new VidjilParser(innerIter, sample) break case Software.RTCR: parser = new RtcrParser(innerIter, sample) break default: throw new UnsupportedOperationException("Don't know how to parse $software data") } (0.. ...}} * @return a clonotype iterator wrapped around the inner plain text table iterator */ @Override public Iterator iterator() { [hasNext: { innerIter.hasNext() }, next : { parse(innerIter.next()) }] as Iterator } } vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/io/parser/RtcrParser.groovy000644 001750 001750 00000005417 13525023773 033540 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.io.parser import com.antigenomics.vdjtools.misc.Software import com.antigenomics.vdjtools.sample.Clonotype import com.antigenomics.vdjtools.sample.Sample import static com.antigenomics.vdjtools.misc.CommonUtil.* class RtcrParser extends ClonotypeStreamParser { /** * {@inheritDoc} */ protected RtcrParser(Iterator innerIter, Sample sample) { super(innerIter, Software.RTCR, sample) } /** * {@inheritDoc} */ @Override protected Clonotype innerParse(String clonotypeString) { def splitString = clonotypeString.split("[: \t]") def count = splitString[0].toInteger() def freq = 0 def cdr3nt = splitString[4] def cdr3aa = toUnifiedCdr3Aa(translate(cdr3nt)) // have no idea how OOF are represented in RTCR, lets play safe String v, d, j (v, j, d) = extractVDJ([splitString[2], splitString[3], "."]) def segmPoints = [splitString[5].toInteger() - 1, -1, -1, splitString[6].toInteger() - 1] as int[] boolean inFrame = inFrame(cdr3aa), noStop = noStop(cdr3aa), isComplete = true new Clonotype(sample, count, freq, segmPoints, v, d, j, cdr3nt, cdr3aa, inFrame, noStop, isComplete) } } vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/io/parser/MigMapParser.groovy000644 001750 001750 00000014710 13525023773 033774 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.io.parser import com.antigenomics.vdjtools.misc.CommonUtil import com.antigenomics.vdjtools.misc.Software import com.antigenomics.vdjtools.sample.Clonotype import com.antigenomics.vdjtools.sample.Sample import static com.antigenomics.vdjtools.misc.CommonUtil.toUnifiedCdr3Aa /** * A clonotype parser implementation that handles output from IgBlastWrapper-derived software. * {@url https://github.com/mikessh/igblastwrp} */ public class MigMapParser extends ClonotypeStreamParser { private boolean initialized = false private int countColumn, freqColumn, cdr3ntColumn, cdr3aaColumn, vColumn, dColumn, jColumn, vEndColumn, dStartColumn, dEndColumn, jStartColumn, inFrameColumn, noStopColumn, isCompleteColumn /** * {@inheritDoc} */ protected MigMapParser(Iterator innerIter, Sample sample) { super(innerIter, Software.MigMap, sample) } /** * Performs parser initialization based on the header string. * * @throws RuntimeException if header line doesn't contain required columns */ private synchronized void ensureInitialized() { if (initialized) return // Parsing header line to determine positions of certain columns with clones properties String headerLine = this.header[0]; String[] splitHeaderLine = headerLine.split(software.delimiter) countColumn = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("count") } freqColumn = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("freq") } cdr3ntColumn = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("cdr3nt") } cdr3aaColumn = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("cdr3aa") } vColumn = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("v") } dColumn = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("d") } jColumn = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("j") } vEndColumn = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("v.end.in.cdr3") } dStartColumn = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("d.start.in.cdr3") } dEndColumn = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("d.end.in.cdr3") } jStartColumn = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("j.start.in.cdr3") } inFrameColumn = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("in.frame") } noStopColumn = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("no.stop") } isCompleteColumn = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("complete") } if ([countColumn, freqColumn, cdr3ntColumn, cdr3aaColumn, vColumn, dColumn, jColumn, vEndColumn, dStartColumn, dEndColumn, jStartColumn, inFrameColumn, noStopColumn, isCompleteColumn].any { it < 0 }) throw new RuntimeException("Some mandatory columns are absent in the input file.") // Initialized initialized = true } /** * {@inheritDoc} */ @Override protected Clonotype innerParse(String clonotypeString) { ensureInitialized() /* Old layout: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 "freq\tcount\tv\td\tj\tcdr3nt\tcdr3aa\t" + FR1, CDR1, FR2, CDR2, FR3, CDR3, FR4 + 14 15 16 17 18 19 "\tcdr.insert.qual\tmutations.qual\t" + vEnd, dStart, dEnd, jStart + "\t" + 20 21 22 23 vDel, dDel5, dDel3, jDel + 24 25 26 27 "pol.v\tpol.d.5\tpol.d.3\tpol.j" + 28 29 30 31 32 "\thas.cdr3\tin.frame\tno.stop\tcomplete\tcanonical" */ def splitString = clonotypeString.split("\t") def freq = splitString[freqColumn].toDouble() def count = splitString[countColumn].toInteger() def cdr3nt = splitString[cdr3ntColumn] == "." || splitString[cdr3ntColumn].contains("N") ? "" : splitString[cdr3ntColumn], cdr3aa = splitString[cdr3aaColumn] == "." || splitString[cdr3aaColumn].contains("X") ? "" : toUnifiedCdr3Aa(splitString[cdr3aaColumn]) String v, d, j (v, d, j) = CommonUtil.extractVDJ(splitString[[vColumn, dColumn, jColumn]]) boolean inFrame, noStop, isComplete (inFrame, noStop, isComplete) = splitString[[inFrameColumn, noStopColumn, isCompleteColumn]].collect { it.toBoolean() } if (cdr3nt == "") { isComplete = false // handling Ns in CDR3 } def segmPoints = splitString[[vEndColumn, dStartColumn, dEndColumn, jStartColumn]].collect { it.toInteger() } as int[] def clonotype = new Clonotype(sample, count, freq, segmPoints, v, d, j, cdr3nt, cdr3aa, inFrame, noStop, isComplete) return clonotype } } src/main/groovy/com/antigenomics/vdjtools/io/parser/ImmunoSeqV2Parser.groovy000644 001750 001750 00000011710 13525023773 034665 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.io.parser import com.antigenomics.vdjtools.misc.Software import com.antigenomics.vdjtools.sample.Clonotype import com.antigenomics.vdjtools.sample.Sample import static com.antigenomics.vdjtools.misc.CommonUtil.* /** * A clonotype parser implementation that handles Adaptive Biotechnologies (tm) immunoSEQ (tm) assay * output format, see * {@url http://www.adaptivebiotech.com/content/immunoseq-0} * * This parser is intended for samples obtained using "Export sample V2" option from ImmunoSEQ analyzer, * not "Export sample" */ class ImmunoSeqV2Parser extends ImmunoSeqParser { /** * {@inheritDoc} */ protected ImmunoSeqV2Parser(Iterator innerIter, Sample sample) { super(innerIter, Software.ImmunoSeqV2, sample) } /** * Performs parser initialization based on the header string. * * @throws RuntimeException if header line doesn't contain required columns */ protected synchronized void ensureInitialized() { if (initialized) return // Parsing header line to determine positions of certain columns with clones properties String headerLine = this.header[0]; String[] splitHeaderLine = headerLine.split(software.delimiter) countColumn = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("count (templates/reads)") } countColumn2 = -1 freqColumn = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("frequencyCount (%)") } cdr3StartColumn = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("vIndex") } cdr3LenColumn = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("cdr3Length") } cdr3ntColumn = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("nucleotide") } inFrameColumn = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("sequenceStatus") } cdr3aaColumn = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("aminoAcid") } vColumn0 = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("vFamilyTies") } dColumn0 = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("dFamilyTies") } jColumn0 = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("jFamilyTies") } vColumn1 = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("vFamilyName") } dColumn1 = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("dFamilyName") } jColumn1 = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("jFamilyName") } vColumn2 = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("vGeneName") } dColumn2 = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("dGeneName") } jColumn2 = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("jGeneName") } vEndColumn = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("n1Index") } dStartColumn = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("dIndex") } dEndColumn = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("n2Index") } jStartColumn = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("jIndex") } if ([countColumn, freqColumn, cdr3StartColumn, cdr3LenColumn, cdr3ntColumn, cdr3aaColumn, vColumn0, dColumn0, jColumn0, vColumn1, dColumn1, jColumn1, vColumn2, dColumn2, jColumn2, vEndColumn, dStartColumn, dEndColumn, jStartColumn, inFrameColumn].any { it < 0 }) throw new RuntimeException("Some mandatory columns are absent in the input file.") // Initialized initialized = true } } src/main/groovy/com/antigenomics/vdjtools/io/parser/ImgtHighVQuestParser.groovy000644 001750 001750 00000006737 13525023773 035425 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.io.parser import com.antigenomics.vdjtools.misc.Software import com.antigenomics.vdjtools.sample.Clonotype import com.antigenomics.vdjtools.sample.Sample import static com.antigenomics.vdjtools.misc.CommonUtil.* class ImgtHighVQuestParser extends ClonotypeStreamParser { /** * {@inheritDoc} */ protected ImgtHighVQuestParser(Iterator innerIter, Sample sample) { super(innerIter, Software.ImgtHighVQuest, sample) } /** * {@inheritDoc} */ @Override protected Clonotype innerParse(String clonotypeString) { def splitString = clonotypeString.split("\t") if (splitString.length < 107) return null def count = 1 def freq = 0 def cdr3start = splitString[60].isInteger() ? splitString[60].toInteger() : -1 // this is called "junction start" here. Junction = CDR3 + conserved C, F/W def cdr3nt = splitString[15].toUpperCase() if (!(cdr3nt =~ /^[ATGCatgc]+$/)) return null // no N's allowed def cdr3aa = toUnifiedCdr3Aa(translate(cdr3nt)) String v, d, j (v, j, d) = extractVDJ(splitString[3..5]).collect { def splitRecord = it.split(" ") splitRecord.length > 1 ? splitRecord[1] : splitRecord[0] } def segmPoints = [ splitString[63], splitString[76], splitString[77], splitString[106] ].collect { it.isInteger() ? (it.toInteger() - cdr3start) : -1 // subtract cdr3start }.collect { (it >= 0 && it < cdr3nt.length()) ? it : -1 // sometimes segment bounds appear out of junction region } as int[] boolean inFrame = inFrame(cdr3aa), noStop = noStop(cdr3aa), isComplete = cdr3aa.length() > 0 new Clonotype(sample, count, freq, segmPoints, v, d, j, cdr3nt, cdr3aa, inFrame, noStop, isComplete) } } src/main/groovy/com/antigenomics/vdjtools/io/parser/ImmunoSeqParser.groovy000644 001750 001750 00000022107 13525023773 034457 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.io.parser import com.antigenomics.vdjtools.misc.CommonUtil import com.antigenomics.vdjtools.misc.Software import com.antigenomics.vdjtools.sample.Clonotype import com.antigenomics.vdjtools.sample.Sample import static com.antigenomics.vdjtools.misc.CommonUtil.* /** * A clonotype parser implementation that handles Adaptive Biotechnologies (tm) immunoSEQ (tm) assay * output format, see * {@url http://www.adaptivebiotech.com/content/immunoseq-0} * * This parser is intended for samples obtained using "Export sample" option from ImmunoSEQ analyzer, * not "Export sample V2" */ class ImmunoSeqParser extends ClonotypeStreamParser { protected boolean initialized = false protected int countColumn, countColumn2, freqColumn, cdr3StartColumn, cdr3ntColumn, cdr3aaColumn, cdr3LenColumn, jStartColumn, inFrameColumn, vColumn0, dColumn0, jColumn0, vColumn1, dColumn1, jColumn1, vColumn2, dColumn2, jColumn2, vEndColumn, dStartColumn, dEndColumn /** * {@inheritDoc} */ protected ImmunoSeqParser(Iterator innerIter, Sample sample) { super(innerIter, Software.ImmunoSeq, sample) } /** * {@inheritDoc} */ protected ImmunoSeqParser(Iterator innerIter, Software software, Sample sample) { super(innerIter, software, sample) } /** * Performs parser initialization based on the header string. * * @throws RuntimeException if header line doesn't contain required columns */ protected synchronized void ensureInitialized() { if (initialized) return // Parsing header line to determine positions of certain columns with clones properties String headerLine = this.header[0]; String[] splitHeaderLine = headerLine.split(software.delimiter) countColumn = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("reads") } countColumn2 = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("templates") } freqColumn = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("frequency") } cdr3StartColumn = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("v_index") } cdr3LenColumn = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("cdr3_length") } cdr3ntColumn = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("rearrangement") } inFrameColumn = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("frame_type") } cdr3aaColumn = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("amino_acid") } vColumn0 = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("v_family_ties") } dColumn0 = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("d_family_ties") } jColumn0 = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("j_family_ties") } vColumn1 = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("v_family") } dColumn1 = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("d_family") } jColumn1 = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("j_family") } vColumn2 = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("v_gene") } dColumn2 = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("d_gene") } jColumn2 = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("j_gene") } vEndColumn = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("n1_index") } dStartColumn = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("d_index") } dEndColumn = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("n2_index") } jStartColumn = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("j_index") } if ([countColumn, countColumn2, freqColumn, cdr3StartColumn, cdr3LenColumn, cdr3ntColumn, cdr3aaColumn, vColumn0, dColumn0, jColumn0, vColumn1, dColumn1, jColumn1, vColumn2, dColumn2, jColumn2, vEndColumn, dStartColumn, dEndColumn, jStartColumn, inFrameColumn].any { it < 0 }) throw new RuntimeException("Some mandatory columns are absent in the input file.") // Initialized initialized = true } /** * {@inheritDoc} */ @Override protected Clonotype innerParse(String clonotypeString) { ensureInitialized() def splitString = clonotypeString.split("\t") // As-is data def count = splitString[countColumn].isInteger() ? splitString[countColumn].toInteger() : null if (count == null) { // try to rescue count from "templates" column count = splitString[countColumn2].toInteger() } def freq = splitString[freqColumn].toDouble() int cdr3start = splitString[cdr3StartColumn].toInteger(), cdr3Len = splitString[cdr3LenColumn].toInteger() def inFrame = splitString[inFrameColumn].equalsIgnoreCase("in") def cdr3End = cdr3start + cdr3Len, readLen = splitString[cdr3ntColumn].length(), padding = 0 if (cdr3End > readLen) { // handling short reads padding = cdr3End - readLen cdr3End = readLen } def cdr3nt = splitString[cdr3ntColumn][cdr3start..= 0 && (cdr3aa.length() == 0 || cdr3nt.length() != 3 * cdr3aa.length())) { cdr3nt = splitString[cdr3ntColumn] if (cdr3aa.length() > 0) { // see https://github.com/mikessh/vdjtools/issues/30 for the reason for workaround int to = cdr3start + cdr3aa.length() * 3 isComplete = to <= cdr3nt.length() cdr3nt = isComplete ? cdr3nt.substring(cdr3start, to) : cdr3nt.substring(cdr3start) // in-frame cdr3aa = toUnifiedCdr3Aa(inFrame ? splitString[cdr3aaColumn] : translate(cdr3nt)) } else { // it seems to be hard to get conventional out-of-frame translation here // but we'll try to reconstruct it if (jStart >= 0) { def jRef = getJReferencePoint(cdr3nt.substring(jStart)) if (jRef >= 0) { cdr3nt = cdr3nt.substring(cdr3start, jStart + jRef + 4) cdr3aa = translate(cdr3nt).replaceAll(/([atgc#\?])+/, "~") // to unified look } } isComplete = cdr3aa.length() > 0 } } inFrame = inFrame && cdr3aa.length() > 0 && CommonUtil.inFrame(cdr3aa) boolean noStop = noStop(cdr3aa) // Correctly record segment points cdr3start = cdr3start < 0 ? 0 : cdr3start def segmPoints = [ splitString[vEndColumn].toInteger() - 1 - cdr3start, splitString[dStartColumn].toInteger() - cdr3start, splitString[dEndColumn].toInteger() - 1 - cdr3start, splitString[jStartColumn].toInteger() - cdr3start].collect { it < 0 ? -1 : it } as int[] new Clonotype(sample, count, freq, segmPoints, v, d, j, cdr3nt, cdr3aa, inFrame, noStop, isComplete) } } vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/io/parser/VidjilParser.groovy000644 001750 001750 00000012307 13525023773 034043 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.io.parser import com.antigenomics.vdjtools.misc.Software import com.antigenomics.vdjtools.sample.Sample import com.antigenomics.vdjtools.sample.metadata.MetadataEntry import groovy.json.JsonSlurper class VidjilParser extends BaseParser { public static final String VIDJIL_SAMPLE_ID_COL = "vidjil_id" /** * {@inheritDoc} */ protected VidjilParser(Iterator innerIter, Sample sample) { super(jsonToTabular(innerIter, sample), Software.Vidjil, sample) } /* Only used fields shown here { "clones": [ { "germline": "IGH", "id": "CACGGCCTTGTATTACTGTGCACCCGGAGGTATGGACGTCTGGGGCCAAG", "name": "IGHV3-9*01 7/CCCGGA/17 IGHJ6*02", "reads": [ 189991 ], "seg": { "3": "IGHJ6*02", "3del": 17, "3start": 282, "4": "IGHD6-13*01", "4end": 231, "4start": 220, "5": "IGHV3-9*01", "5del": 7, "5end": 275, "N": 6, "cdr3": { "aa": "APGGMDV", "start": 274, "stop": 294 }, "junction": { "aa": "CAPGGMDVW", "productive": true, "start": 271, "stop": 297 } }, "seg_stat": { "2": 55411, "3": 134580 }, "sequence": "GGAGTCGGGGGAGGCTTGGTACAGCCTGGCAGGTCCCTGAGACTCTCCTGTGCAGCCTCTGGATTCACCTTTGATGATTATGCCATGCACTGGGTCCGGCAAGCTCCAGGGAAGGGCCTGGAGTGGGTCTCAGGTATTAGTTGGAATAGTGGTAGCATAGGCTATGCGGACTCTGTGAAGGGCCGATTCACCATCTCCAGAGACAACGCCAAGAACTCCCTGTATCTGCAAATGAACAGTCTGAGAGCTGAGGACACGGCCTTGTATTACTGTGCACCCGGAGGTATGGACGTCTGGGGCCAAGGGACCCTGGTCACC", }, ... */ private static Iterator jsonToTabular(Iterator innerIter, Sample sample) { def jsonSb = new StringBuilder() while (innerIter.hasNext()) { jsonSb.append(innerIter.next()).append("\n") } def jsonClones = new JsonSlurper().parseText(jsonSb.toString()).clones def tabulatedOutput = new ArrayList(jsonClones.size()) def sampleId = (sample.sampleMetadata[VIDJIL_SAMPLE_ID_COL] ?: new MetadataEntry(null, null, null, "0")).value.toInteger() jsonClones.each { cloneObj -> def segmentationInfo = cloneObj.seg, junctionInfo = segmentationInfo.junction if (segmentationInfo && junctionInfo) { tabulatedOutput << [ cloneObj.reads[sampleId], // count 0, // freq cloneObj.sequence[(junctionInfo.start - 1).. innerIter, Sample sample) { super(innerIter, Software.MiXcr, sample) } /** * Performs parser initialization based on the header string. * * @throws RuntimeException if header line doesn't contain required columns */ private synchronized void ensureInitialized() { if (initialized) return // Parsing header line to determine positions of certain columns with clones properties String headerLine = this.header[0]; String[] splitHeaderLine = headerLine.split(software.delimiter) countColumn = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("Clone count") || it.equalsIgnoreCase("cloneCount") } freqColumn = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("Clone fraction") || it.equalsIgnoreCase("cloneFraction") } cdr3ntColumn = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("N. Seq. CDR3") || it.equalsIgnoreCase("nSeqCDR3") || it.equalsIgnoreCase("nSeqImputedCDR3") } cdr3aaColumn = splitHeaderLine.findIndexOf { it.equalsIgnoreCase("AA. Seq. CDR3") || it.equalsIgnoreCase("aaSeqCDR3") || it.equalsIgnoreCase("aaSeqImputedCDR3") } vAlignmentsColumn = splitHeaderLine.findIndexOf { it =~ /(?i)V alignment/ || it =~ /(?i)VAlignment/ || it =~ /(?i)allVAlignments/ } dAlignmentsColumn = splitHeaderLine.findIndexOf { it =~ /(?i)D alignment/ || it =~ /(?i)DAlignment/ || it =~ /(?i)allDAlignments/ } jAlignmentsColumn = splitHeaderLine.findIndexOf { it =~ /(?i)J alignment/ || it =~ /(?i)JAlignment/ || it =~ /(?i)allJAlignments/ } vHitsColumn = splitHeaderLine.findIndexOf { it =~ /(?i)V hits/ || it =~ /(?i)VHits/ || it =~ /(?i)allVHitsWithScore/ } dHitsColumn = splitHeaderLine.findIndexOf { it =~ /(?i)D hits/ || it =~ /(?i)DHits/ || it =~ /(?i)allDHitsWithScore/ } jHitsColumn = splitHeaderLine.findIndexOf { it =~ /(?i)J hits/ || it =~ /(?i)JHits/ || it =~ /(?i)allJHitsWithScore/ } if (countColumn == -1 || freqColumn == -1 || cdr3ntColumn == -1 || cdr3aaColumn == -1 || vAlignmentsColumn == -1 || dAlignmentsColumn == -1 || jAlignmentsColumn == -1) throw new RuntimeException("Some mandatory columns are absent in the input file.") //println([countColumn, freqColumn,cdr3ntColumn,cdr3aaColumn,vAlignmentsColumn,dAlignmentsColumn,jAlignmentsColumn]) numberOfColumns = splitHeaderLine.size() // Initialized initialized = true } /** * {@inheritDoc} */ @Override protected Clonotype innerParse(String clonotypeString) { ensureInitialized() def splitString = clonotypeString.split(software.delimiter, numberOfColumns) def count = (int) (splitString[countColumn].toDouble()) def freq = splitString[freqColumn].toDouble() def cdr3nt = splitString[cdr3ntColumn] def cdr3aa = splitString[cdr3aaColumn] // no need to unify, MiXCR is based on milib String v, d, j (v, d, j) = extractVDJ(splitString[[vHitsColumn, dHitsColumn, jHitsColumn]]) List vAlignemtns = parseAlignments(splitString[vAlignmentsColumn]) List dAlignemtns = parseAlignments(splitString[dAlignmentsColumn]) List jAlignemtns = parseAlignments(splitString[jAlignmentsColumn]) def segmPoints = [vAlignemtns.size() > 0 && vAlignemtns[0] != null ? vAlignemtns[0].seq2End - 1 : 0, dAlignemtns.size() > 0 && dAlignemtns[0] != null ? dAlignemtns[0].seq2Begin : -1, dAlignemtns.size() > 0 && dAlignemtns[0] != null ? dAlignemtns[0].seq2End - 1 : -1, jAlignemtns.size() > 0 && jAlignemtns[0] != null ? jAlignemtns[0].seq2Begin : cdr3nt.size() - 1] as int[] boolean inFrame = inFrame(cdr3aa), noStop = noStop(cdr3aa), isComplete = true new Clonotype(sample, count, freq, segmPoints, v, d, j, cdr3nt, cdr3aa, inFrame, noStop, isComplete) } private static List parseAlignments(String alignmentsLine) { if (alignmentsLine.isEmpty()) return Collections.EMPTY_LIST String[] splitByAlignments = alignmentsLine.split(";", -1) List ret = new ArrayList<>() for (String alignmentString : splitByAlignments) { if (alignmentString.trim().empty) { ret.add(null) } else { String[] splitByFields = alignmentString.split("\\|") ret.add(new Alignment(splitByFields[0].toInteger(), splitByFields[1].toInteger(), splitByFields[3].toInteger(), splitByFields[4].toInteger())); } } ret } /** * Now all positions are in coordinates of clonal sequence (not CDR3 coordinates). In case of non-CDR3 clonal * sequence there is currently no way to convert positions to CDR3 positions, so non-CDR3 positions will be * forbidden before appropriate information will be made available in MiXCR output. * * Seq1 - reference sequence * * Seq2 - clonal sequence */ private static class Alignment { int seq1Begin, seq1End, seq2Begin, seq2End Alignment(int seq1Begin, int seq1End, int seq2Begin, int seq2End) { this.seq1Begin = seq1Begin this.seq1End = seq1End this.seq2Begin = seq2Begin this.seq2End = seq2End } } } vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/io/parser/ImSeqParser.groovy000644 001750 001750 00000005230 13525023773 033635 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.io.parser import com.antigenomics.vdjtools.misc.Software import com.antigenomics.vdjtools.sample.Clonotype import com.antigenomics.vdjtools.sample.Sample import static com.antigenomics.vdjtools.misc.CommonUtil.* class ImSeqParser extends ClonotypeStreamParser { /** * {@inheritDoc} */ protected ImSeqParser(Iterator innerIter, Sample sample) { super(innerIter, Software.ImSeq, sample) } /** * {@inheritDoc} */ @Override protected Clonotype innerParse(String clonotypeString) { def splitString = clonotypeString.split("[: \t]") def count = splitString[3].toInteger() def freq = 0 def cdr3nt = splitString[1].toUpperCase() def cdr3aa = toUnifiedCdr3Aa(translate(cdr3nt)) String v, d, j (v, j, d) = extractVDJ([splitString[0], splitString[2], "."]) def segmPoints = [-1, -1, -1, -1] as int[] boolean inFrame = inFrame(cdr3aa), noStop = noStop(cdr3aa), isComplete = true new Clonotype(sample, count, freq, segmPoints, v, d, j, cdr3nt, cdr3aa, inFrame, noStop, isComplete) } } src/main/groovy/com/antigenomics/vdjtools/io/SampleStreamConnection.groovy000644 001750 001750 00000016270 13525023773 034512 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.io import com.antigenomics.vdjtools.misc.Software import com.antigenomics.vdjtools.sample.Sample import com.antigenomics.vdjtools.sample.metadata.SampleMetadata import com.antigenomics.vdjtools.misc.ExecUtil import static com.antigenomics.vdjtools.sample.metadata.MetadataUtil.createSampleMetadata /** * A wrapper for plain-text clonotype table that could be accessed using {@code InputStream}. * This is a semi-internal class to provide lazy-loading support for SampleCollection. */ public class SampleStreamConnection implements SampleConnection { private final InputStreamFactory inputStreamFactory private final SampleMetadata sampleMetadata private final Software software private Sample _sample = null private final boolean lazy, store /** * Loads a sample from a given input stream provider. * @param inputStreamFactory an input stream provider. * @return sample object filled with clonotypes. */ public static Sample load(InputStreamFactory inputStreamFactory) { load(inputStreamFactory, Software.VDJtools) } /** * Loads a sample from a given input stream provider. * @param inputStreamFactory an input stream provider. * @param software type of software used to create clonotype table. Specifies how the plain-text input will be parsed. * @return sample object filled with clonotypes. */ public static Sample load(InputStreamFactory inputStreamFactory, Software software) { new SampleStreamConnection(inputStreamFactory, software).sample } /** * Loads a sample from a given input stream provider. * @param inputStreamFactory an input stream provider. * @param software type of software used to create clonotype table. Specifies how the plain-text input will be parsed. * @param sampleMetadata a metadata object that will be associated with a given sample. * @return sample object filled with clonotypes. */ public static Sample load(InputStreamFactory inputStreamFactory, Software software, SampleMetadata sampleMetadata) { new SampleStreamConnection(inputStreamFactory, software, sampleMetadata).sample } /** * Creates a sample connection, an object that could be used to access (load to memory, store, etc) a sample stored as plain text. * Will load the sample upon initialization and store it into memory. Generic sample metadata will be associated with the underlying sample. * @param inputStreamFactory an input stream provider. * @param software type of software used to create clonotype table. Specifies how the plain-text input will be parsed. */ public SampleStreamConnection(InputStreamFactory inputStreamFactory, Software software) { this(inputStreamFactory, software, createSampleMetadata(inputStreamFactory.getId())) } /** * Creates a sample connection, an object that could be used to access (load to memory, store, etc) a sample stored as plain text. * Will load the sample upon initialization and store it into memory. * @param inputStreamFactory an input stream provider. * @param software type of software used to create clonotype table. Specifies how the plain-text input will be parsed. * @param sampleMetadata a metadata object that will be associated with a given sample. */ public SampleStreamConnection(InputStreamFactory inputStreamFactory, Software software, SampleMetadata sampleMetadata) { this(inputStreamFactory, software, sampleMetadata, false, true) } /** * Creates a sample connection, an object that could be used to access (load to memory, store, etc) a sample stored as plain text. * @param inputStreamFactory an input stream provider. * @param software type of software used to create clonotype table. Specifies how the plain-text input will be parsed. * @param sampleMetadata a metadata object that will be associated with a given sample. * @param lazy will load the sample only when {@code getSample ( )} is called. * @param store sample will be stored into memory after loading. */ public SampleStreamConnection(InputStreamFactory inputStreamFactory, Software software, SampleMetadata sampleMetadata, boolean lazy, boolean store) { this.inputStreamFactory = inputStreamFactory this.sampleMetadata = sampleMetadata this.software = software this.lazy = lazy this.store = store if (!lazy) _sample = _load() } /** * INTERNAL loads a given sample into memory. * @return loaded sample filled with clonotypes. */ private Sample _load() { println "[${new Date()} SampleStreamConnection] Loading sample $sampleMetadata.sampleId" def inputStream = inputStreamFactory.create() def sample = Sample.fromInputStream(inputStream, sampleMetadata, software, -1, true, software.collapseRequired) println "[${new Date()} SampleStreamConnection] Loaded sample $sampleMetadata.sampleId with " + "$sample.diversity clonotypes and $sample.count cells. " + ExecUtil.memoryFootprint() sample } /** * {@inheritDoc} */ @Override public Sample getSample() { _sample ?: (store ? (_sample = _load()) : _load()) } /** * {@inheritDoc} */ @Override public Sample haveAGlance() { _sample ?: Sample.fromInputStream(inputStreamFactory.create(), sampleMetadata, software, -1, false, false) } @Override public String toString() { "SampleFileConnection{$inputStreamFactory.id>${sampleMetadata.sampleId},storing=${store},loaded=${_sample != null}" } InputStreamFactory getInputStreamFactory() { return inputStreamFactory } } vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/io/SampleWriter.groovy000644 001750 001750 00000031771 13525023773 032575 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.io import com.antigenomics.vdjtools.misc.Software import com.antigenomics.vdjtools.join.JointSample import com.antigenomics.vdjtools.pool.PooledSample import com.antigenomics.vdjtools.sample.Clonotype import com.antigenomics.vdjtools.sample.Sample import com.antigenomics.vdjtools.misc.ExecUtil import java.util.zip.GZIPOutputStream /** * A class implementing output of Sample and JointSample to plain-text file */ public class SampleWriter { private final Software software private final String header private final boolean compress private final List printFields public String getHeader() { header } public String getClonotypeString(Clonotype clonotype) { printFields.collect { clonotype."$it" }.join("\t") } /** * Creates a sample writer capable to output samples in plain-text files according to specified software format. * @param compress specifies whether to compress resulting output file * @param renormalize tells whether to perform re-normalization (compute frequency by dividing read count by total * number of reads in sample) or preserve original frequencies as in input */ public SampleWriter(boolean compress = false, boolean renormalize = false) { this(Software.VDJtools, compress, renormalize) } /** * Creates a sample writer capable to output samples in plain-text files according to specified software format. * Will compress the resulting output file if {@code compress = true} and append ".gz" to the file name. * @param software table layout that will be used during output * @param compress specifies whether to compress resulting output file * @param renormalize tells whether to perform re-normalization (compute frequency by dividing read count by total * number of reads in sample) or preserve original frequencies as in input * * @deprecated writing back in various output formats is not supported by CLI */ @Deprecated public SampleWriter(Software software, boolean compress, boolean renormalize) { this.software = software this.header = (software.headerLineCount > 1 ? "${software.name()}-header-blank\n" * (software.headerLineCount - 1) : "") + (software.comment ?: "") + software.printFields.join("\t") this.compress = compress this.printFields = renormalize ? software.printFields : software.printFields.collect { it.replace("freq", "freqAsInInput") } } /** * Gets buffered writer * @param fileName * @return */ public BufferedWriter getWriter(String fileName) { if (compress) fileName += ".gz" def fos = new FileOutputStream(fileName) new BufferedWriter(new OutputStreamWriter(compress ? new GZIPOutputStream(fos) : fos)) } /** * Writes a sample to a given directory/path using conventional sample naming suffix. * Will assume that output to a directory is required if path ends with "/". * @param sample sample to write * @param outputPrefix output path prefix or output directory (if end with "/") */ public void writeConventional(Sample sample, String outputPrefix) { write(sample, ExecUtil.formOutputPath(outputPrefix, sample)) } /** * Writes a sample to a given directory/path using conventional sample naming suffix. * Will assume that output to a directory is required if path ends with "/". * @param sample sample to write * @param outputPrefix output path prefix or output directory (if end with "/") * @param top number of top clonotype to write, -1 to write all clonotypes * @param collapse specifies whether to store the information on clonotypes that not got it to {@code top} * ones as a separate single entry put at the end of the file */ public void writeConventional(Sample sample, String outputPrefix, int top, boolean collapse) { write(sample, ExecUtil.formOutputPath(outputPrefix, sample), top, collapse) } /** * Writes a sample as a plain-text table to the specified path. * @param sample sample to write * @param fileName output path */ public void write(Sample sample, String fileName) { write(sample, fileName, -1, false) } private static String appendAnnotation(String annotation) { annotation ? ("\t" + annotation) : "" } private static String appendAnnotationDummy(String annotation) { annotation ? ("\t" + annotation.split("\t").collect { "" }.join("\t")) : "" } String getFullHeader(Sample sample) { header + appendAnnotation(sample.annotationHeader) } String getFullClonotypeString(Clonotype clonotype) { getClonotypeString(clonotype) + appendAnnotation(clonotype.annotation) } /** * Writes a sample as a plain-text table to the specified path. * @param sample sample to write * @param fileName output path * @param top number of top clonotype to write, -1 to write all clonotypes * @param collapse specifies whether to store the information on clonotypes that not got it to {@code top} * ones as a separate single entry put at the end of the file */ public void write(Sample sample, String fileName, int top, boolean collapse) { def printWriter = getWriter(fileName) top = top > sample.diversity || top < 0 ? sample.diversity : top printWriter.println(getFullHeader(sample)) long count = 0 double freq = 0.0 for (int i = 0; i < top; i++) { def clonotype = sample[i] if (collapse) { count += clonotype.count freq += clonotype.freq } printWriter.println(getFullClonotypeString(clonotype)) } if (collapse && top < sample.diversity) { // Collapsed printWriter.println(software.printFields.collect { if (it == "count") sample.count - count else if (it == "freq") sample.freqAsInInput - freq else "NotShown" }.join("\t") + appendAnnotationDummy(sample.annotationHeader)) } printWriter.close() } /** * Writes a joint sample as a plain-text table to the specified path. * @param sample sample to write * @param fileName output path * @param top number of top clonotype to write, -1 to write all clonotypes * @param collapse specifies whether to store the information on clonotypes that not got it to {@code top} * ones as a separate single entry put at the end of the file */ public void write(JointSample jointSample, String fileName, int top, boolean collapse) { def printWriter = getWriter(fileName) top = top > jointSample.diversity || top < 0 ? jointSample.diversity : top def sampleIndices = (0.. freqArr[j] += jointClonotype.getFreq(j) } } printWriter.println( [software.printFields.collect { if (it == "count") jointClonotype.count else if (it == "freq") jointClonotype.freq else clonotype."$it" }, jointClonotype.peak, jointClonotype.occurrences, jointClonotype.samplingPValue, sampleIndices.collect { int j -> jointClonotype.getFreq(j) }].flatten().join("\t")) } if (collapse) { if (top < jointSample.diversity) { // Collapsed def collapsedFreq = jointSample.totalMeanFreq - collapsedMeanFreq, collapsedFreqArr = sampleIndices.collect { int j -> jointSample.getIntersectionFreq(j) - freqArr[j] } printWriter.println( [software.printFields.collect { if (it == "count") jointSample.calcCount(collapsedFreq) else if (it == "freq") jointSample.calcFreq(collapsedFreq) else "NotShown" }, collapsedFreqArr.findIndexOf { it == collapsedFreqArr.max() }, collapsedFreqArr.findAll { it > 0 }.sum(), 0, collapsedFreqArr ].flatten().join("\t")) } // Not in the overlap def nonOverlappingFreqArr = sampleIndices.collect { int j -> jointSample.getSample(j).freqAsInInput - jointSample.getIntersectionFreq(j) } printWriter.println( [software.printFields.collect { if (it == "count") 0 else if (it == "freq") 0.0 else "NonOverlapping" }, nonOverlappingFreqArr.findIndexOf { it == nonOverlappingFreqArr.max() }, nonOverlappingFreqArr.findAll { it > 0 }.sum(), 0, nonOverlappingFreqArr ].flatten().join("\t")) } printWriter.close() } /** * Writes a pooled sample as a plain-text table to the specified path. * @param sample sample to write. * @param fileName output path. */ public void write(PooledSample pooledSample, String fileName) { def printWriter = getWriter(fileName) printWriter.println(header + "\tincidence\tconvergence\toccurrences") pooledSample.each { pooledClonotype -> printWriter.println( [software.printFields.collect { if (it == "count") pooledClonotype.count else if (it == "freq") pooledClonotype.count / (double) pooledSample.count else pooledClonotype.clonotype."$it" }, pooledClonotype.incidenceCount, pooledClonotype.diversity, pooledClonotype.occurrences ].flatten().join("\t")) } printWriter.close() } /** * Writes a joint sample as a plain-text table to the specified path. * @param sample sample to write * @param fileName output path */ public void write(JointSample jointSample, String fileName) { write(jointSample, fileName, -1, false) } }vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/io/InputStreamFactory.groovy000644 001750 001750 00000004201 13525023773 033746 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.io /** * An input stream factory. An example implementation would be creating a new file connection each time. * The main purpose of this class is to allow loading the same sample several times and to provide a mean * for implementing re-load for custom input streams. */ public interface InputStreamFactory { /** * Creates the corresponding input stream. Depending on stream type re-opens file connection, etc * @return a new input stream */ public InputStream create() /** * Get the id associated with a given input stream * @return id string, a derivative of file name, etc */ public String getId() }vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/io/SampleFileConnection.groovy000644 001750 001750 00000012300 13525023773 034203 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.io import com.antigenomics.vdjtools.misc.Software import com.antigenomics.vdjtools.sample.Sample import com.antigenomics.vdjtools.sample.metadata.SampleMetadata /** * A wrapper for plain-text clonotype table stored in a file. * This is a semi-internal class to provide lazy-loading support for SampleCollection */ public class SampleFileConnection extends SampleStreamConnection { /** * Loads a sample from the specified file. * @param fileName path to file containing the sample. * @return sample object filled with clonotypes. */ public static Sample load(String fileName) { load(fileName, Software.VDJtools) } /** * Loads a sample from the specified file. * @param fileName path to file containing the sample. * @param software type of software used to create clonotype table. Specifies how the plain-text input will be parsed. * @return sample object filled with clonotypes. */ public static Sample load(String fileName, Software software) { load(new FileInputStreamFactory(fileName), software) } /** * Loads a sample from the specified file. * @param fileName path to file containing the sample. * @param software type of software used to create clonotype table. Specifies how the plain-text input will be parsed. * @param sampleMetadata a metadata object that will be associated with a given sample. * @return sample object filled with clonotypes. */ public static Sample load(String fileName, Software software, SampleMetadata sampleMetadata) { load(new FileInputStreamFactory(fileName), software, sampleMetadata) } /** * Creates a sample connection, an object that could be used to access (load to memory, store, etc) a sample stored as plain text. * Will load the sample upon initialization and store it into memory. Generic sample metadata will be associated with the underlying sample. * @param fileName path to file containing the sample. * @param software type of software used to create clonotype table. Specifies how the plain-text input will be parsed. */ public SampleFileConnection(String fileName, Software software) { super(new FileInputStreamFactory(fileName), software) } /** * Creates a sample connection, an object that could be used to access (load to memory, store, etc) a sample stored as plain text. * Will load the sample upon initialization and store it into memory. * @param fileName path to file containing the sample. * @param software type of software used to create clonotype table. Specifies how the plain-text input will be parsed. * @param sampleMetadata a metadata object that will be associated with a given sample. */ public SampleFileConnection(String fileName, Software software, SampleMetadata sampleMetadata) { this(fileName, software, sampleMetadata, false, true) } /** * Creates a sample connection, an object that could be used to access (load to memory, store, etc) a sample stored as plain text. * @param fileName path to file containing the sample. * @param software type of software used to create clonotype table. Specifies how the plain-text input will be parsed. * @param sampleMetadata a metadata object that will be associated with a given sample. * @param lazy will load the sample only when {@code getSample ( )} is called. * @param store sample will be stored into memory after loading. */ public SampleFileConnection(String fileName, Software software, SampleMetadata sampleMetadata, boolean lazy, boolean store) { super(new FileInputStreamFactory(fileName), software, sampleMetadata, lazy, store) } } vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/io/SampleConnection.groovy000644 001750 001750 00000004206 13525023773 033411 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.io import com.antigenomics.vdjtools.sample.Sample /** * A sample provider */ public interface SampleConnection { /** * Gets the underlying sample. Note that in some implementations this could be very time consuming, * as it will involve storing large amount of objects in memory and reading a file. * @return a sample object filled with clonotypes. */ public Sample getSample() /** * Runs through sample file/stream without loading the whole sample into memory and collects statistics. * @return a blank sample object holding general statistics (clonotype count, etc). */ public Sample haveAGlance() }vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/basic/000755 001750 001750 00000000000 13525023773 027351 5ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/basic/NdnHist.groovy000644 001750 001750 00000003404 13525023773 032170 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.basic import com.antigenomics.vdjtools.sample.Clonotype class NdnHist extends Histogram { protected NdnHist(boolean unweighted) { super(unweighted, 0, 50) } @Override protected int getValue(Clonotype clonotype) { clonotype.NDNSize } } vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/basic/PlotFancyVJUsage.groovy000644 001750 001750 00000006635 13525023773 033756 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.basic import com.antigenomics.vdjtools.sample.SampleCollection import com.antigenomics.vdjtools.misc.RUtil import static com.antigenomics.vdjtools.misc.ExecUtil.formOutputPath import static com.antigenomics.vdjtools.misc.ExecUtil.toPlotPath def cli = new CliBuilder(usage: "PlotFancyVJUsage [options] input_name output_prefix") cli.h("display help message") cli.u(longOpt: "unweighted", "Will count each clonotype only once, apart from conventional frequency-weighted histogram.") cli._(longOpt: "plot-type", argName: "pdf|png", args: 1, "Plot output format [default=pdf]") def opt = cli.parse(args) if (opt == null) System.exit(2) if (opt.h || opt.arguments().size() != 2) { cli.usage() System.exit(2) } def unweighted = (boolean) opt.u, outputFilePrefix = opt.arguments()[1], plotType = (opt.'plot-type' ?: "pdf").toString() def scriptName = getClass().canonicalName.split("\\.")[-1] // // Read the sample // println "[${new Date()} $scriptName] Reading sample" def sampleCollection = new SampleCollection([opt.arguments()[0]]) def sampleId = sampleCollection.metadataTable.getRow(0).sampleId // Calculate segment usage def segmentUsage = new SegmentUsage(sampleCollection, unweighted) // Output and plotting println "[${new Date()} $scriptName] Writing output" def outputFileName = formOutputPath(outputFilePrefix, "fancyvj", (unweighted ? "unwt" : "wt")) new File(outputFileName).withPrintWriter { pw -> pw.println(".\t" + segmentUsage.vUsageHeader().collect().join("\t")) def vjMatrix = segmentUsage.vjUsageMatrix(sampleId) vjMatrix.eachWithIndex { double[] vVectorByJ, int i -> pw.println(segmentUsage.jUsageHeader()[i] + "\t" + vVectorByJ.collect().join("\t")) } } println "[${new Date()} $scriptName] Plotting data (be patient, complex graphics)" RUtil.execute("vj_pairing_plot.r", outputFileName, toPlotPath(outputFileName, plotType) ) println "[${new Date()} $scriptName] Finished"vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/basic/CalcBasicStats.groovy000644 001750 001750 00000007657 13525023773 033462 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.basic import com.antigenomics.vdjtools.sample.Sample import com.antigenomics.vdjtools.sample.SampleCollection import com.antigenomics.vdjtools.sample.metadata.MetadataTable import static com.antigenomics.vdjtools.misc.ExecUtil.formOutputPath def cli = new CliBuilder(usage: "CalcBasicStats [options] " + "[sample1 sample2 sample3 ... if -m is not specified] output_prefix") cli.h("display help message") cli.m(longOpt: "metadata", argName: "filename", args: 1, "Metadata file. First and second columns should contain file name and sample id. " + "Header is mandatory and will be used to assign column names for metadata.") cli.u(longOpt: "unweighted", "Will count each clonotype only once, apart from conventional frequency-weighted histogram.") def opt = cli.parse(args) if (opt == null) System.exit(2) if (opt.h || opt.arguments().size() == 0) { cli.usage() System.exit(2) } // Check if metadata is provided def metadataFileName = opt.m if (metadataFileName ? opt.arguments().size() != 1 : opt.arguments().size() < 2) { if (metadataFileName) println "Only output prefix should be provided in case of -m" else println "At least 1 sample files should be provided if not using -m" cli.usage() System.exit(2) } // Remaining arguments def outputFilePrefix = opt.arguments()[-1], unweighted = (boolean) opt.u def scriptName = getClass().canonicalName.split("\\.")[-1] // // Batch load all samples (lazy) // println "[${new Date()} $scriptName] Reading sample(s)" def sampleCollection = metadataFileName ? new SampleCollection((String) metadataFileName) : new SampleCollection(opt.arguments()[0..-2]) println "[${new Date()} $scriptName] ${sampleCollection.size()} sample(s) prepared" // // Compute and output diversity measures, spectratype, etc // new File(formOutputPath(outputFilePrefix, "basicstats")).withPrintWriter { pw -> def header = "$MetadataTable.SAMPLE_ID_COLUMN\t" + sampleCollection.metadataTable.columnHeader + "\t" + BasicStats.HEADER pw.println(header) def sampleCounter = 0 sampleCollection.each { Sample sample -> def basicStats = new BasicStats(sample, !unweighted) println "[${new Date()} $scriptName] ${++sampleCounter} sample(s) processed" pw.println([sample.sampleMetadata.sampleId, sample.sampleMetadata, basicStats].join("\t")) } } println "[${new Date()} $scriptName] Finished" vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/basic/BasicStats.groovy000644 001750 001750 00000015635 13525023773 032672 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.basic import com.antigenomics.vdjtools.overlap.OverlapType import com.antigenomics.vdjtools.join.ClonotypeKeyGen import com.antigenomics.vdjtools.join.key.ClonotypeKey import com.antigenomics.vdjtools.sample.Sample import org.apache.commons.math3.stat.descriptive.DescriptiveStatistics /** * This class provides some basic stats that could be computed for a RepSeq sample: * read count, observed diversity, characteristic clone size, cdr3/N-N insert/N-D-N sequence size, * fraction of non-coding clonotypes and repertoire convergence */ public class BasicStats { private final DescriptiveStatistics cloneSize, cloneSizeGeom private final double cdr3ntLength, insertSize, ndnSize private int ncDiversity private double ncFrequency private final long count private final int diversity private final double convergence private final boolean weighted /** * Create an instance of BasicStats class. All computations are done within constructor. * @param sample sample to be analyzed */ public BasicStats(Sample sample) { this(sample, true) } /** * Create an instance of BasicStats class. All computations are done within constructor. * @param sample sample to be analyzed * @param weighted if set to {@code true}, will use clonotype frequency to weight mean_cdr3nt_length, mean_insert_size and mean_ndn_size */ public BasicStats(Sample sample, boolean weighted) { this.count = sample.count this.diversity = sample.diversity this.cloneSize = new DescriptiveStatistics() this.cloneSizeGeom = new DescriptiveStatistics() double cdr3ntLength = 0, insertSize = 0, ndnSize = 0 this.weighted = weighted def keyGenAA = new ClonotypeKeyGen(OverlapType.AminoAcid), keyGenNT = new ClonotypeKeyGen(OverlapType.Nucleotide) def aaSet = new HashSet(), ntSet = new HashSet() int weight = 1 double denom = 0 sample.each { cloneSize.addValue(it.freq) cloneSizeGeom.addValue(Math.log10(it.freq)) if (weighted) weight = it.count cdr3ntLength += weight * it.cdr3nt.length() def x = it.insertSize if (x > -1) insertSize += weight * x x = it.NDNSize if (x > -1) ndnSize += weight * x if (!it.coding) { ncDiversity++ ncFrequency += it.freq } aaSet.add(keyGenAA.generateKey(it)) ntSet.add(keyGenNT.generateKey(it)) denom += weight } this.convergence = ntSet.size() / (double) aaSet.size() this.cdr3ntLength = cdr3ntLength / denom this.ndnSize = ndnSize / denom this.insertSize = insertSize / denom } /** * Gets mean clonotype frequency * @return */ public double getMeanFrequency() { cloneSize.mean } /** * Gets geometric mean of clonotype frequency * @return */ public double getGeomMeanFrequency() { Math.pow(10, cloneSizeGeom.mean) } /** * Gets mean CDR3 nucleotide sequence length. * If {@code weighted = true} the mean will be weighted by clonotype count * @return */ public double getMeanCdr3ntLength() { cdr3ntLength } /** * Gets mean NDN region size, i.e. mean number of nucleotides between V segment end and J segment start * If {@code weighted = true} the mean will be weighted by clonotype count * @return */ public double getMeanNDNSize() { ndnSize } /** * Gets mean insert size, i.e. mean number of nucleotides in V-D and D-J regions if D segment is determined or * V-J regions if not. If {@code weighted = true} the mean will be weighted by clonotype count * @return */ public double getMeanInsertSize() { insertSize } /** * Gets the number of reads in sample * @return */ public long getCount() { count } /** * Gets the total number of clonotypes in sample * @return */ public int getDiversity() { diversity } /** * Gets the total number of non-coding (containing a stop or frameshift) clonotypes in sample * @return */ public int getNcDiversity() { ncDiversity } /** * Gets the cumulative frequency of non-coding (containing a stop or frameshift) clonotypes in sample * @return */ public double getNcFrequency() { ncFrequency } /** * Gets the convergence level of sample, i.e. number of CDR3 nucleotide sequences per CDR3 amino acid sequence * @return */ public double getConvergence() { convergence } /** * Header used for tabular output */ public static final String HEADER = "count\tdiversity\t" + "mean_frequency\tgeomean_frequency\t" + "nc_diversity\tnc_frequency\t" + "mean_cdr3nt_length\tmean_insert_size\tmean_ndn_size\t" + "convergence" /** * Plain text row for tabular output */ @Override public String toString() { [count, diversity, meanFrequency, geomMeanFrequency, ncDiversity, ncFrequency, meanCdr3ntLength, meanInsertSize, meanNDNSize, convergence ].flatten().join("\t") } } vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/basic/InsertHist.groovy000644 001750 001750 00000003415 13525023773 032717 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.basic import com.antigenomics.vdjtools.sample.Clonotype class InsertHist extends Histogram { protected InsertHist(boolean unweighted) { super(unweighted, 0, 30) } @Override protected int getValue(Clonotype clonotype) { clonotype.insertSize } } vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/basic/Histogram.groovy000644 001750 001750 00000012575 13525023773 032567 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.basic import com.antigenomics.vdjtools.sample.Clonotype abstract class Histogram { protected final boolean unweighted protected final int min, max, span protected final double[] innerHist protected final int[] lengths protected int count = 0 protected double freq = 0 public final String HEADER protected Histogram(boolean unweighted, int min, int max) { this.unweighted = unweighted this.min = min this.max = max this.span = max - min + 1 this.innerHist = new double[span] this.lengths = (min..max) as double[] this.HEADER = lengths.collect().join("\t") } protected abstract int getValue(Clonotype clonotype) public int bin(Clonotype clonotype) { Math.min(max, Math.max(min, getValue(clonotype))) - min } /** * Update histogram with a single clonotype * @param clonotype clonotype to add */ public void add(Clonotype clonotype) { if (unweighted) { this.innerHist[bin(clonotype)]++ freq++ } else { this.innerHist[bin(clonotype)] += clonotype.freq freq += clonotype.freq } count++ } /** * Update histogram with a set of clonotypes * @param sample sample to add */ public void addAll(Iterable sample) { sample.each { Clonotype clonotype -> add(clonotype) } } /** * Combines two histograms * @param other histogram to update with */ public void addAll(Histogram other) { if (other.unweighted != this.unweighted || other.min != this.min || other.max != this.max) throw new Exception("Can't combine histograms of different type") this.count += other.count this.freq += other.freq other.innerHist.eachWithIndex { it, ind -> innerHist[ind] += it } } /** * Clears all spectratype counters */ public void clear() { for (int i = 0; i < span; i++) this.innerHist[i] = 0 count = 0 freq = 0 } /** * Normalize and get the histogram. Values correspond to specified clonotype feature, ranging from {@code min} to {@code max} * @return */ public double[] getHistogram() { getHistogram(true) } /** * Normalize and get the histogram array. Values correspond to specified clonotype feature, ranging from {@code min} to {@code max} * @param normalized if true will normalize clonotype to total sum of 1. * @return */ public double[] getHistogram(boolean normalized) { def histogram = new double[span] double _freq = (normalized && freq > 0) ? freq : 1.0 for (int i = 0; i < span; i++) histogram[i] = this.innerHist[i] / _freq histogram } /** * Gets min CDR3 length of clonotype (lower boundary on spectratype length) * @return */ int getMin() { min } /** * Gets max CDR3 length of clonotype (upper boundary on spectratype length) * @return */ int getMax() { max } /** * Gets the number of bins in spectratype histogram, i.e. {@code max - min + 1} * @return */ public int getSpan() { span } /** * Gets total frequency of summarized clonotypes * @return */ public double getFreq() { freq } /** * Gets total read count of summarized clonotypes * @return */ public int getCount() { count } /** * An array of CDR3 lengths that correspond to spectratype bins */ public int[] getLengths() { return lengths } boolean isUnweighted() { unweighted } /** * Plain text row for tabular output */ @Override public String toString() { histogram.collect().join("\t") } } vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/basic/PlotSpectratypeV.groovy000644 001750 001750 00000010436 13525023773 034114 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.basic import com.antigenomics.vdjtools.sample.SampleCollection import com.antigenomics.vdjtools.misc.RUtil import static com.antigenomics.vdjtools.misc.ExecUtil.formOutputPath import static com.antigenomics.vdjtools.misc.ExecUtil.toPlotPath def TOP_DEFAULT = "12", TOP_MAX = 12 def cli = new CliBuilder(usage: "PlotSpectratypeV [options] input_name output_prefix") cli.h("display help message") cli.t(longOpt: "top", args: 1, "Number of top V segments to present on the histogram. " + "Values > $TOP_MAX are not allowed, as they would make the plot unreadable. [default = $TOP_DEFAULT]") cli.u(longOpt: "unweighted", "Will count each clonotype only once, apart from conventional frequency-weighted histogram.") cli._(longOpt: "plot-type", argName: "pdf|png", args: 1, "Plot output format [default=pdf]") def opt = cli.parse(args) if (opt == null) System.exit(2) if (opt.h || opt.arguments().size() != 2) { cli.usage() System.exit(2) } def outputFilePrefix = opt.arguments()[1], top = (opt.t ?: TOP_DEFAULT).toInteger(), unweighted = (boolean) opt.u, plotType = (opt.'plot-type' ?: "pdf").toString() if (top > TOP_MAX) { println "[ERROR] Specified number of top V segments should not exceed 20" System.exit(2) } def scriptName = getClass().canonicalName.split("\\.")[-1] // // Read the sample // println "[${new Date()} $scriptName] Reading sample" def sampleCollection = new SampleCollection([opt.arguments()[0]]) def sample = sampleCollection[0] // Calculate spectratype def spectratypeV = new SpectratypeV(false, unweighted) spectratypeV.addAll(sample) def collapsedSpectratypes = spectratypeV.collapse(top) // Prepare output table def spectraMatrix = new double[spectratypeV.span][top + 1] def otherHistogram = collapsedSpectratypes["other"].getHistogram(false) for (int i = 0; i < spectratypeV.span; i++) { spectraMatrix[i][0] = otherHistogram[i] } collapsedSpectratypes.findAll { it.key != "other" }.eachWithIndex { it, ind -> def histogram = it.value.getHistogram(false) for (int i = 0; i < spectratypeV.span; i++) { spectraMatrix[i][top - ind] = histogram[i] } } def table = "Len\tOther\t" + collapsedSpectratypes.findAll { it.key != "other" }.collect { it.key }.reverse().join("\t") for (int i = 0; i < spectratypeV.span; i++) { table += "\n" + spectratypeV.lengths[i] + "\t" + spectraMatrix[i].collect().join("\t") } // Output println "[${new Date()} $scriptName] Writing output and plotting data" def outputFileName = formOutputPath(outputFilePrefix, "spectraV", (unweighted ? "unwt" : "wt")) new File(outputFileName).withPrintWriter { pw -> pw.println(table) } RUtil.execute("fancy_spectratype.r", outputFileName, toPlotPath(outputFileName, plotType), "Variable segment", RUtil.logical(false) ) println "[${new Date()} $scriptName] Finished"vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/basic/Spectratype.groovy000644 001750 001750 00000011426 13525023773 033127 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.basic import com.antigenomics.vdjtools.overlap.OverlapType import com.antigenomics.vdjtools.sample.Clonotype import com.antigenomics.vdjtools.sample.Sample /** * Class that represents spectratype, i.e. distribution of clonotypes / clonotype frequency by * CDR3 amino acid / nucleotide sequence length */ public class Spectratype extends Histogram { protected final boolean aminoAcid /** * Creates a spectratype instance with a given sample. All calculations are performed within constructor. * @param sample sample to initialize with * @param aminoAcid will use amino acid CDR3 sequence if true. Will use nucleotide sequence otherwise * @param unweighted will count each unique clonotype once if set to true. Will weight each clonotype by its frequency otherwise */ public Spectratype(Sample sample, boolean aminoAcid, boolean unweighted) { this(aminoAcid, unweighted) addAll(sample) } /** * Creates a spectratype instance with a given sample. All calculations are performed within constructor. * Internal constructor * @param sample sample sample to initialize with * @param intersectionType overlap type to deduce whether amino acid or nucleotide sequence CDR3 should be used * @param unweighted will count each unique clonotype once if set to true. Will weight each clonotype by its frequency otherwise */ public Spectratype(Sample sample, OverlapType intersectionType, boolean unweighted) { this(intersectionType.aminoAcid, unweighted) addAll(sample) } /** * Creates a blank spectratype instance. * @param intersectionType overlap type to deduce whether amino acid or nucleotide sequence CDR3 should be used * @param unweighted will count each unique clonotype once if set to true. Will weight each clonotype by its frequency otherwise */ public Spectratype(OverlapType intersectionType, boolean unweighted) { this(intersectionType.aminoAcid, unweighted) } /** * Creates a blank spectratype instance. * @param aminoAcid will use amino acid CDR3 sequence if true. Will use nucleotide sequence otherwise * @param unweighted will count each unique clonotype once if set to true. Will weight each clonotype by its frequency otherwise */ public Spectratype(boolean aminoAcid, boolean unweighted) { super(unweighted, aminoAcid ? 7 : 21, aminoAcid ? 23 : 69) this.aminoAcid = aminoAcid } /** * Update spectratype with a set of clonotypes, but omits several top clonotypes. * Internal, used for fancy (detalized) spectratype. * @param sample sample to add * @param top top clonotypes which will be excluded from histogram, and returned as list * @return list of top clonotypes */ public List addAllFancy(Iterable sample, int top) { def topClonotypes = new LinkedList(); int counter = 0 sample.each { Clonotype clonotype -> if (counter++ < top) topClonotypes.add(clonotype) else add(clonotype) } topClonotypes.sort { -it.freq } } @Override protected int getValue(Clonotype clonotype) { aminoAcid ? clonotype.cdr3nt.length() / 3 : clonotype.cdr3nt.length() } } vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/basic/CalcSegmentUsage.groovy000644 001750 001750 00000013241 13525023773 033773 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.basic import com.antigenomics.vdjtools.sample.SampleCollection import com.antigenomics.vdjtools.sample.metadata.MetadataTable import com.antigenomics.vdjtools.misc.RUtil import static com.antigenomics.vdjtools.misc.ExecUtil.formOutputPath import static com.antigenomics.vdjtools.misc.ExecUtil.toPlotPath def cli = new CliBuilder(usage: "CalcSegmentUsage [options] " + "[sample1 sample2 sample3 ... if -m is not specified] output_prefix") cli.h("display help message") cli.m(longOpt: "metadata", argName: "filename", args: 1, "Metadata file. First and second columns should contain file name and sample id. " + "Header is mandatory and will be used to assign column names for metadata.") cli.u(longOpt: "unweighted", "Will count each clonotype only once, apart from conventional frequency-weighted histogram.") cli._(longOpt: "plot-type", argName: "pdf|png", args: 1, "Plot output format [default=pdf]") cli.p(longOpt: "plot", "Plot V/J usage heatmaps and perform cluster analysis") cli.n(longOpt: "num-factor", "Numeric factor variable") cli.l(longOpt: "label", argName: "string", args: 1, "Metadata entry used to annotate the heatmap") cli.f(longOpt: "factor", argName: "string", args: 1, "Metadata entry used to color samples in the heatmap") def opt = cli.parse(args) if (opt == null) System.exit(2) if (opt.h || opt.arguments().size() == 0) { cli.usage() System.exit(2) } // Check if metadata is provided def metadataFileName = opt.m if (metadataFileName ? opt.arguments().size() != 1 : opt.arguments().size() < 2) { if (metadataFileName) println "Only output prefix should be provided in case of -m" else println "At least 1 sample files should be provided if not using -m" cli.usage() System.exit(2) } def outputFilePrefix = opt.arguments()[-1], unweighted = opt.u, plot = (boolean) opt.p, plotType = (opt.'plot-type' ?: "pdf").toString() def scriptName = getClass().canonicalName.split("\\.")[-1] // // Batch load all samples (lazy) // println "[${new Date()} $scriptName] Reading samples" def sampleCollection = metadataFileName ? new SampleCollection((String) metadataFileName) : new SampleCollection(opt.arguments()[0..-2]) def metadataTable = sampleCollection.metadataTable println "[${new Date()} $scriptName] ${sampleCollection.size()} samples loaded" // // Compute and output diversity measures, spectratype, etc // def segmentUsage = new SegmentUsage(sampleCollection, unweighted) def outputPathV = formOutputPath(outputFilePrefix, "segments", unweighted ? "unwt" : "wt", "V"), outputPathJ = formOutputPath(outputFilePrefix, "segments", unweighted ? "unwt" : "wt", "J") new File(outputPathV).withPrintWriter { pwV -> new File(outputPathJ).withPrintWriter { pwJ -> def header = "$MetadataTable.SAMPLE_ID_COLUMN\t" + sampleCollection.metadataTable.columnHeader pwV.println(header + "\t" + segmentUsage.vUsageHeader().join("\t")) pwJ.println(header + "\t" + segmentUsage.jUsageHeader().join("\t")) metadataTable.sampleIterator.each { String sampleId -> def sampleString = [sampleId, metadataTable.getRow(sampleId)].join("\t") pwV.println(sampleString + "\t" + segmentUsage.vUsageVector(sampleId).collect().join("\t")) pwJ.println(sampleString + "\t" + segmentUsage.jUsageVector(sampleId).collect().join("\t")) } } } if (plot) { RUtil.execute("vexpr_plot.r", outputPathV, segmentUsage.vUsageHeader().length.toString(), opt.l ? (metadataTable.getColumnIndex(opt.l) + 2).toString() : "0", // first column is sample id opt.f ? (metadataTable.getColumnIndex(opt.f) + 2).toString() : "0", opt.n ? "TRUE" : "FALSE", toPlotPath(outputPathV, plotType) ) RUtil.execute("vexpr_plot.r", outputPathJ, segmentUsage.jUsageHeader().length.toString(), opt.l ? (metadataTable.getColumnIndex(opt.l) + 2).toString() : "0", opt.f ? (metadataTable.getColumnIndex(opt.f) + 2).toString() : "0", opt.n ? "TRUE" : "FALSE", toPlotPath(outputPathJ, plotType) ) } println "[${new Date()} $scriptName] Finished" src/main/groovy/com/antigenomics/vdjtools/basic/PlotFancySpectratype.groovy000644 001750 001750 00000007205 13525023773 034670 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.basic import com.antigenomics.vdjtools.sample.SampleCollection import com.antigenomics.vdjtools.misc.RUtil import static com.antigenomics.vdjtools.misc.ExecUtil.formOutputPath import static com.antigenomics.vdjtools.misc.ExecUtil.toPlotPath def TOP_DEFAULT = "10", TOP_MAX = 20 def cli = new CliBuilder(usage: "PlotFancySpectratype [options] input_name output_prefix") cli.h("display help message") cli.t(longOpt: "top", args: 1, "Number of top clonotypes to present on the histogram. " + "Values > $TOP_MAX are not allowed, as they would make the plot legend unreadable. [default = $TOP_DEFAULT]") cli._(longOpt: "plot-type", argName: "pdf|png", args: 1, "Plot output format [default=pdf]") def opt = cli.parse(args) if (opt == null) System.exit(2) if (opt.h || opt.arguments().size() != 2) { cli.usage() System.exit(2) } def outputFilePrefix = opt.arguments()[1], top = (opt.t ?: TOP_DEFAULT).toInteger(), plotType = (opt.'plot-type' ?: "pdf").toString() if (top > TOP_MAX) { println "[ERROR] Specified number of top clonotypes should not exceed $TOP_MAX" System.exit(2) } def scriptName = getClass().canonicalName.split("\\.")[-1] // // Read the sample // println "[${new Date()} $scriptName] Reading sample" def sampleCollection = new SampleCollection([opt.arguments()[0]]) def sample = sampleCollection[0] top = Math.min(top, sample.diversity) // Calculate spectratype def fancySpectratype = new FancySpectratype(sample, top) def table = "Len\tOther\t" + fancySpectratype.topClonotypes.reverse().collect { it.cdr3aa }.join("\t") for (int i = 0; i < fancySpectratype.spectratype.span; i++) { table += "\n" + fancySpectratype.spectratype.lengths[i] + "\t" + fancySpectratype.spectraMatrix[i].collect().join("\t") } // Output println "[${new Date()} $scriptName] Writing output and plotting data" def outputFileName = formOutputPath(outputFilePrefix, "fancyspectra") new File(outputFileName).withPrintWriter { pw -> pw.println(table) } RUtil.execute("fancy_spectratype.r", outputFileName, toPlotPath(outputFileName, plotType), "Clonotype", "TRUE" ) println "[${new Date()} $scriptName] Finished" vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/basic/SpectratypeV.groovy000644 001750 001750 00000013346 13525023773 033260 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.basic import com.antigenomics.vdjtools.overlap.OverlapType import com.antigenomics.vdjtools.sample.Clonotype /** * Class that represents spectratype collection grouped by Variable segments, * i.e. distribution of clonotypes / clonotype frequency with a given Variable segment by * CDR3 amino acid / nucleotide sequence length */ public class SpectratypeV { private final Map spectratypes = new HashMap<>() private final Spectratype dummy /** * Creates a blank Variable segment spectratype instance. */ public SpectratypeV() { this(false, false) } /** * Creates a blank Variable segment spectratype instance. * @param intersectionType overlap type to deduce whether amino acid or nucleotide sequence CDR3 should be used to determine the histogram bin */ public SpectratypeV(OverlapType intersectionType) { this(intersectionType.aminoAcid, false) } /** * Creates a blank Variable segment spectratype instance. * @param intersectionType overlap type to deduce whether amino acid or nucleotide sequence CDR3 should be used to determine the histogram bin * @param unweighted will count each unique clonotype once if set to true. Will weight each clonotype by its frequency otherwise */ public SpectratypeV(OverlapType intersectionType, boolean unweighted) { this(intersectionType.aminoAcid, unweighted) } /** * Creates a blank Variable segment spectratype instance. * @param aminoAcid will use amino acid CDR3 sequence to determine the histogram bin if true. Will use nucleotide sequence otherwise * @param unweighted will count each unique clonotype once if set to true. Will weight each clonotype by its frequency otherwise */ public SpectratypeV(boolean aminoAcid, boolean unweighted) { this.dummy = new Spectratype(aminoAcid, unweighted) } /** * Clears all Variable segment spectratype counters */ public void clear() { spectratypes.values().each { it.clear() } } /** * Update Variable segment spectratype with a set of clonotypes * @param sample sample to add */ public void addAll(Iterable sample) { sample.each { clonotype -> def vSpectra = spectratypes[clonotype.v] if (!vSpectra) spectratypes.put(clonotype.v, vSpectra = new Spectratype(dummy.aminoAcid, dummy.unweighted)) vSpectra.add(clonotype) } } /** * Gets the current Variable segment list * @return */ public List vSegmentList() { spectratypes.sort { -it.value.freq }.collect { it.key } } /** * Gets a spectratype for a given Variable segment * @param vSegmentName Variable segment for sub-setting * @return */ public Spectratype getAt(String vSegmentName) { spectratypes[vSegmentName] } /** * Selects spectratypes for {@code 0..top-1} Variable segments. * Note that you should not normalize the resulting histograms if you want to see the correct picture, * so call {@code spectratype.getHistogram ( false )} * @param top number of most frequent Variable segments to take * @return map with Variable segment name {@code String} as key and {@code Spectratype} as value */ public Map collapse(int top) { def collapsedSpectratypes = new HashMap() def otherSpectratype collapsedSpectratypes.put("other", otherSpectratype = new Spectratype(dummy.aminoAcid, dummy.unweighted)) spectratypes.sort { -it.value.freq }.eachWithIndex { it, ind -> if (ind < top) collapsedSpectratypes.put(it.key, it.value) else otherSpectratype.addAll(it.value) } collapsedSpectratypes.sort { -it.value.freq } } /** * Gets the number of bins in a spectratype histogram. * It is the same for all Variable segments * @return */ public int getSpan() { dummy.span } /** * Gets an array of CDR3 lengths that correspond to spectratype bins. * It is the same for all Variable segments */ public int[] getLengths() { dummy.lengths } } vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/basic/FancySpectratype.groovy000644 001750 001750 00000001551 13525023773 034106 0ustar00moellermoeller000000 000000 package com.antigenomics.vdjtools.basic import com.antigenomics.vdjtools.sample.Clonotype import com.antigenomics.vdjtools.sample.Sample class FancySpectratype { final double[][] spectraMatrix final List topClonotypes final Spectratype spectratype FancySpectratype(Sample sample, int top) { spectratype = new Spectratype(false, false) topClonotypes = spectratype.addAllFancy(sample, top) def spectratypeHist = spectratype.getHistogram(false) // Prepare output table spectraMatrix = new double[spectratype.span][top + 1] for (int i = 0; i < spectratype.span; i++) { spectraMatrix[i][0] = spectratypeHist[i] } topClonotypes.eachWithIndex { it, ind -> def bin = spectratype.bin(it) spectraMatrix[bin][top - ind] = it.freq } } } vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/basic/CalcSpectratype.groovy000644 001750 001750 00000012214 13525023773 033706 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.basic import com.antigenomics.vdjtools.sample.Sample import com.antigenomics.vdjtools.sample.SampleCollection import com.antigenomics.vdjtools.sample.metadata.MetadataTable import static com.antigenomics.vdjtools.misc.ExecUtil.formOutputPath def cli = new CliBuilder(usage: "CalcSpectratype [options] " + "[sample1 sample2 sample3 ... if -m is not specified] output_prefix") cli.h("display help message") cli.m(longOpt: "metadata", argName: "filename", args: 1, "Metadata file. First and second columns should contain file name and sample id. " + "Header is mandatory and will be used to assign column names for metadata." + "If column named 'time' is present, it will be used to specify time point sequence.") cli.a(longOpt: "amino-acid", "Will use amino-acid CDR3 sequence lengths instead of nucleotide.") cli.u(longOpt: "unweighted", "Will count each clonotype only once, apart from conventional frequency-weighted histogram.") def opt = cli.parse(args) if (opt == null || opt.arguments().size() == 0) System.exit(2) if (opt.h) { cli.usage() System.exit(2) } // Check if metadata is provided def metadataFileName = opt.m if (metadataFileName ? opt.arguments().size() != 1 : opt.arguments().size() < 2) { if (metadataFileName) println "Only output prefix should be provided in case of -m" else println "At least 1 sample files should be provided if not using -m" cli.usage() System.exit(2) } def outputFilePrefix = opt.arguments()[-1], aminoAcid = (boolean) opt.a, unweighted = (boolean) opt.u def scriptName = getClass().canonicalName.split("\\.")[-1] // // Batch load all samples (lazy) // println "[${new Date()} $scriptName] Reading samples" def sampleCollection = metadataFileName ? new SampleCollection((String) metadataFileName) : new SampleCollection(opt.arguments()[0..-2]) println "[${new Date()} $scriptName] ${sampleCollection.size()} samples loaded" // // Compute and output diversity measures, spectratype, etc // new File(formOutputPath(outputFilePrefix, "spectratype", (aminoAcid ? "aa" : "nt"), (unweighted ? "unwt" : "wt"))).withPrintWriter { pwSpectra -> new File(formOutputPath(outputFilePrefix, "spectratype.insert", (unweighted ? "unwt" : "wt"))).withPrintWriter { pwIns -> new File(formOutputPath(outputFilePrefix, "spectratype.ndn", (unweighted ? "unwt" : "wt"))).withPrintWriter { pwNdn -> def spectratype = new Spectratype(aminoAcid, unweighted), insertHist = new InsertHist(unweighted), ndnHist = new NdnHist(unweighted) def header = "$MetadataTable.SAMPLE_ID_COLUMN\t" + sampleCollection.metadataTable.columnHeader + "\t" pwSpectra.println(header + spectratype.HEADER) pwIns.println(header + insertHist.HEADER) pwNdn.println(header + ndnHist.HEADER) def sampleCounter = 0 sampleCollection.each { Sample sample -> spectratype.addAll(sample) insertHist.addAll(sample) ndnHist.addAll(sample) println "[${new Date()} $scriptName] ${++sampleCounter} samples processed" pwSpectra.println([sample.sampleMetadata.sampleId, sample.sampleMetadata, spectratype].join("\t")) pwIns.println([sample.sampleMetadata.sampleId, sample.sampleMetadata, insertHist].join("\t")) pwNdn.println([sample.sampleMetadata.sampleId, sample.sampleMetadata, ndnHist].join("\t")) spectratype.clear() insertHist.clear() ndnHist.clear() } } } } println "[${new Date()} $scriptName] Finished" vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/basic/SegmentUsage.groovy000644 001750 001750 00000021643 13525023773 033215 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.basic import com.antigenomics.vdjtools.sample.Clonotype import com.antigenomics.vdjtools.sample.Sample import com.antigenomics.vdjtools.sample.SampleCollection import com.antigenomics.vdjtools.misc.ExecUtil /** * Class that represents Variable and Joining segment frequency (usage) vector and V-J pairing matrix */ public class SegmentUsage { public static boolean VERBOSE = true private final Map vSegmentUsage = new HashMap<>(), jSegmentUsage = new HashMap<>(), vjSegmentUsage = new HashMap<>() private final Map sampleIndex = new HashMap<>() private Map sortedVSegmTotal = new HashMap<>(), sortedJSegmTotal = new HashMap<>() private final int n private final boolean unweighted /** * Creates a SegmentUsage for a sample collection. * Initializes with a sample collection to obtain all segment names that could be encountered * in order to provide same table layout for different samples. * All computations are done within constructor. * @param sampleCollection sample collection to analyze * @param unweighted will count each unique clonotype once if set to true. Will weight each clonotype by its frequency otherwise */ public SegmentUsage(SampleCollection sampleCollection, boolean unweighted) { this.n = sampleCollection.size() this.unweighted = unweighted // ok to use in batch intersect as all samples are pre-loaded sampleCollection.eachWithIndex { it, ind -> process(it, ind) } summarize() } /** * Creates a SegmentUsage for a sample collection. * Initializes with a set of samples to obtain all segment names that could be encountered * in order to provide same table layout for different samples. * All computations are done within constructor. * Internal constructor * @param samples a set of sample to analyze * @param unweighted will count each unique clonotype once if set to true. Will weight each clonotype by its frequency otherwise */ public SegmentUsage(Sample[] samples, boolean unweighted) { this.n = samples.length this.unweighted = unweighted // ok to use in batch intersect as all samples are pre-loaded samples.eachWithIndex { it, ind -> process(it, ind) } summarize() } /** * Process a single sample * @param sample sample * @param index sample index */ private void process(Sample sample, int index) { //todo: everywhere ExecUtil.report(this, "Processing sample ${sample.sampleMetadata.sampleId}", VERBOSE) sample.each { Clonotype clonotype -> def vArray = vSegmentUsage[clonotype.v], jArray = jSegmentUsage[clonotype.j], vjArray = vjSegmentUsage[clonotype.v + "\t" + clonotype.j] if (!vArray) vSegmentUsage.put(clonotype.v, vArray = new double[n]) if (!jArray) jSegmentUsage.put(clonotype.j, jArray = new double[n]) if (!vjArray) vjSegmentUsage.put(clonotype.v + "\t" + clonotype.j, vjArray = new double[n]) def increment = unweighted ? 1 : clonotype.freq vArray[index] += increment jArray[index] += increment vjArray[index] += increment } sampleIndex.put(sample.sampleMetadata.sampleId, index) } /** * Summarize (calculate sums) */ private void summarize() { vSegmentUsage.each { sortedVSegmTotal.put(it.key, (double) it.value.collect().sum() ?: 0) } sortedVSegmTotal = sortedVSegmTotal.sort() jSegmentUsage.each { sortedJSegmTotal.put(it.key, (double) it.value.collect().sum() ?: 0) } sortedJSegmTotal = sortedJSegmTotal.sort() } /** * Gets J usage vector, J segment names are ordered as {@code jUsageHeader()} * @param sampleId sample id (as in sample collection / sample name) * @return */ public double[] jUsageVector(String sampleId) { jUsageVector(getSampleIndex(sampleId)) } /** * Gets J usage vector, J segment names are ordered as {@code jUsageHeader()} * @param sampleIndex sample index, as in initial sample collection/set * @return */ public double[] jUsageVector(int sampleIndex) { usageVector(jSegmentUsage, sortedJSegmTotal, sampleIndex) } /** * Gets V usage vector, V segment names are ordered as {@code vUsageHeader()} * @param sampleId sample id (as in sample collection / sample name) * @return */ public double[] vUsageVector(String sampleId) { vUsageVector(getSampleIndex(sampleId)) } /** * Gets V usage vector, V segment names are ordered as {@code vUsageHeader()} * @param sampleIndex sample index, as in initial sample collection/set * @return */ public double[] vUsageVector(int sampleIndex) { usageVector(vSegmentUsage, sortedVSegmTotal, sampleIndex) } /** * Gets sample index by sample id * @param sampleId sample id (as in sample collection / sample name) * @return */ private int getSampleIndex(String sampleId) { if (!this.sampleIndex.containsKey(sampleId)) throw new IllegalArgumentException("$sampleId is not in the sample collection used to build segment usage matrix") this.sampleIndex[sampleId] } /** * INTERNAL */ private static double[] usageVector(Map usageMap, Map totalMap, int sampleIndex) { def sampleTotal = usageMap.values().collect { it[sampleIndex] }.sum() ?: 0.0 totalMap.collect { usageMap[it.key][sampleIndex] / (double) (sampleTotal + 1e-7) } as double[] } /** * Gets V-J pairing matrix, J segment (row) names are ordered as {@code jUsageHeader()} and * V segment (column) names are ordered as {@code vUsageHeader()} * @param sampleId sample id (as in sample collection / sample name) * @return */ public double[][] vjUsageMatrix(String sampleId) { vjUsageMatrix(getSampleIndex(sampleId)) } /** * Gets V-J pairing matrix, J segment (row) names are ordered as {@code jUsageHeader()} and * V segment (column) names are ordered as {@code vUsageHeader()} * @param sampleIndex sample index, as in initial sample collection/set * @return */ public double[][] vjUsageMatrix(int sampleIndex) { double sampleTotal = (double) (jSegmentUsage.values().collect { it[sampleIndex] }.sum() ?: 0.0) def matrix = new double[jSegmentUsage.size()][vSegmentUsage.size()] sortedJSegmTotal.eachWithIndex { jEntry, ii -> sortedVSegmTotal.eachWithIndex { vEntry, jj -> def v = vEntry.key, j = jEntry.key, vj = v + "\t" + j matrix[ii][jj] = vjSegmentUsage.containsKey(vj) ? (vjSegmentUsage[vj][sampleIndex] / sampleTotal) : 0d } } matrix } /** * Gets an ordered list of J segment names. V/J/V-J vectors and matrices are ordered correspondingly * @return */ public String[] jUsageHeader() { sortedJSegmTotal.collect { it.key } } /** * Gets an ordered list of V segment names. V/J/V-J vectors and matrices are ordered correspondingly * @return */ public String[] vUsageHeader() { sortedVSegmTotal.collect { it.key } } } vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/preprocess/000755 001750 001750 00000000000 13525023773 030455 5ustar00moellermoeller000000 000000 src/main/groovy/com/antigenomics/vdjtools/preprocess/FilterNonFunctional.groovy000644 001750 001750 00000011343 13525023773 035572 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.preprocess import com.antigenomics.vdjtools.io.SampleWriter import com.antigenomics.vdjtools.sample.ClonotypeFilter import com.antigenomics.vdjtools.sample.FunctionalClonotypeFilter import com.antigenomics.vdjtools.sample.Sample import com.antigenomics.vdjtools.sample.SampleCollection import com.antigenomics.vdjtools.sample.metadata.MetadataTable import static com.antigenomics.vdjtools.misc.ExecUtil.formOutputPath def cli = new CliBuilder(usage: "FilterNonFunctional [options] " + "[sample1 sample2 sample3 ... if -m is not specified] output_prefix") cli.h("display help message") cli.m(longOpt: "metadata", argName: "filename", args: 1, "Metadata file. First and second columns should contain file name and sample id. " + "Header is mandatory and will be used to assign column names for metadata.") cli.e(longOpt: "negative", "Will retain only non-functional clonotypes") cli._(longOpt: "save-freqs", "Preserve clonotype frequencies as in original sample. " + "By default, output sample(s) will be re-normalized to have a sum of clonotype frequencies equal to 1.") cli.c(longOpt: "compress", "Compress output sample files.") def opt = cli.parse(args) if (opt == null) System.exit(2) if (opt.h || opt.arguments().size() == 0) { cli.usage() System.exit(2) } // Check if metadata is provided def metadataFileName = opt.m if (metadataFileName ? opt.arguments().size() != 1 : opt.arguments().size() < 2) { if (metadataFileName) println "Only output prefix should be provided in case of -m" else println "At least 1 sample files should be provided if not using -m" cli.usage() System.exit(2) } // Remaining arguments def outputFilePrefix = opt.arguments()[-1], saveFreqs = (boolean) opt.'save-freqs', compress = (boolean) opt.c, negative = (boolean) opt.e def scriptName = getClass().canonicalName.split("\\.")[-1] // // Batch load all samples (lazy) // println "[${new Date()} $scriptName] Reading sample(s)" def sampleCollection = metadataFileName ? new SampleCollection((String) metadataFileName) : new SampleCollection(opt.arguments()[0..-2]) println "[${new Date()} $scriptName] ${sampleCollection.size()} sample(s) loaded" // // Iterate over samples & filter // def writer = new SampleWriter(compress, !saveFreqs) def filter = new FunctionalClonotypeFilter(negative) new File(formOutputPath(outputFilePrefix, "ncfilter", "summary")).withPrintWriter { pw -> def header = "$MetadataTable.SAMPLE_ID_COLUMN\t" + sampleCollection.metadataTable.columnHeader + "\t" + ClonotypeFilter.ClonotypeFilterStats.HEADER pw.println(header) sampleCollection.eachWithIndex { sample, ind -> def sampleId = sample.sampleMetadata.sampleId println "[${new Date()} $scriptName] Filtering $sampleId.." def filteredSample = new Sample(sample, filter) // print output writer.writeConventional(filteredSample, outputFilePrefix) def stats = filter.getStatsAndFlush() pw.println([sampleId, sample.sampleMetadata, stats].join("\t")) } } sampleCollection.metadataTable.storeWithOutput(outputFilePrefix, compress, "ncfilter:${negative ? "keep" : "remove"}") println "[${new Date()} $scriptName] Finished"vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/preprocess/SelectTop.groovy000644 001750 001750 00000010060 13525023773 033623 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.preprocess import com.antigenomics.vdjtools.io.SampleWriter import com.antigenomics.vdjtools.sample.BlankClonotypeFilter import com.antigenomics.vdjtools.sample.Sample import com.antigenomics.vdjtools.sample.SampleCollection def cli = new CliBuilder(usage: "SelectTop [options] " + "[sample1 sample2 sample3 ... if -m is not specified] output_prefix") cli.h("display help message") cli.m(longOpt: "metadata", argName: "filename", args: 1, "Metadata file. First and second columns should contain file name and sample id. " + "Header is mandatory and will be used to assign column names for metadata.") cli.x(longOpt: "num-clonotypes", argName: "integer", required: true, args: 1, "Number of top clonotypes to take.") cli._(longOpt: "save-freqs", "Preserve clonotype frequencies as in original sample. " + "By default, output sample(s) will be re-normalized to have a sum of clonotype frequencies equal to 1.") cli.c(longOpt: "compress", "Compress output sample files.") def opt = cli.parse(args) if (opt == null) System.exit(2) if (opt.h || opt.arguments().size() == 0) { cli.usage() System.exit(2) } // Check if metadata is provided def metadataFileName = opt.m if (metadataFileName ? opt.arguments().size() != 1 : opt.arguments().size() < 2) { if (metadataFileName) println "Only output prefix should be provided in case of -m" else println "At least 1 sample files should be provided if not using -m" cli.usage() System.exit(2) } // Remaining arguments def x = (int) opt.x.toInteger(), saveFreqs = (boolean) opt.'save-freqs', compress = (boolean) opt.c, outputPrefix = opt.arguments()[-1] def scriptName = getClass().canonicalName.split("\\.")[-1] // // Batch load all samples (lazy) // println "[${new Date()} $scriptName] Reading sample(s)" def sampleCollection = metadataFileName ? new SampleCollection((String) metadataFileName) : new SampleCollection(opt.arguments()[0..-2]) println "[${new Date()} $scriptName] ${sampleCollection.size()} sample(s) loaded" // // Iterate over samples & down-sample // def sampleWriter = new SampleWriter(compress, !saveFreqs) sampleCollection.eachWithIndex { sample, ind -> def newSample = new Sample(sample, BlankClonotypeFilter.INSTANCE, x) println "[${new Date()} $scriptName] Processed ${ind + 1} sample(s).. Writing output" // print output sampleWriter.writeConventional(newSample, outputPrefix) } sampleCollection.metadataTable.storeWithOutput(outputPrefix, compress, "top:$x") println "[${new Date()} $scriptName] Finished" vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/preprocess/Correct.groovy000644 001750 001750 00000010546 13525023773 033333 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.preprocess import com.antigenomics.vdjtools.io.SampleWriter import com.antigenomics.vdjtools.sample.SampleCollection def DEFAULT_MAX_MMS = "2", DEFAULT_RATIO_THRESHOLD = "0.05" def cli = new CliBuilder(usage: "Correct [options] " + "[sample1 sample2 sample3 ... if -m is not specified] output_prefix") cli.h("display help message") cli.m(longOpt: "metadata", argName: "filename", args: 1, "Metadata file. First and second columns should contain file name and sample id. " + "Header is mandatory and will be used to assign column names for metadata.") cli.d(longOpt: "depth", argName: "1+", args: 1, "Maximum number of mismatches allowed between clonotypes being compared. [default=$DEFAULT_MAX_MMS]") cli.a(longOpt: "match-segment", "Check for erroneous clonotypes only among those that have identical V and J assignments.") cli.r(longOpt: "ratio", argName: "[0,1]", args: 1, "Child-to-parent clonotype size ratio threshold under which child clonotype is considered erroneous. " + "[default=$DEFAULT_RATIO_THRESHOLD]") cli.c(longOpt: "compress", "Compress output sample files.") def opt = cli.parse(args) if (opt == null) System.exit(2) if (opt.h || opt.arguments().size() == 0) { cli.usage() System.exit(2) } // Check if metadata is provided def metadataFileName = opt.m if (metadataFileName ? opt.arguments().size() != 1 : opt.arguments().size() < 2) { if (metadataFileName) println "Only output prefix should be provided in case of -m" else println "At least 1 sample files should be provided if not using -m" cli.usage() System.exit(2) } // Remaining arguments def depth = (int) (opt.d ?: DEFAULT_MAX_MMS).toInteger(), ratio = (float) (opt.r ?: DEFAULT_RATIO_THRESHOLD).toDouble(), matchSegment = (boolean) opt.'match-segment', compress = (boolean) opt.c, outputPrefix = opt.arguments()[-1] def scriptName = getClass().canonicalName.split("\\.")[-1] // // Batch load all samples (lazy) // println "[${new Date()} $scriptName] Reading sample(s)" def sampleCollection = metadataFileName ? new SampleCollection((String) metadataFileName) : new SampleCollection(opt.arguments()[0..-2]) println "[${new Date()} $scriptName] ${sampleCollection.size()} sample(s) loaded" // // Iterate over samples & correct // def sampleWriter = new SampleWriter(compress, true) def corrector = new Corrector(depth, ratio, matchSegment) sampleCollection.eachWithIndex { sample, ind -> def newSample = corrector.correct(sample) println "[${new Date()} $scriptName] Processed ${ind + 1} sample(s).. Writing output" // print output sampleWriter.writeConventional(newSample, outputPrefix) } sampleCollection.metadataTable.storeWithOutput(outputPrefix, compress, "corr:$depth:$ratio:${matchSegment ? "vjmatch" : "all"}") println "[${new Date()} $scriptName] Finished" src/main/groovy/com/antigenomics/vdjtools/preprocess/TopCountSampler.groovy000644 001750 001750 00000004321 13525023773 034744 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.preprocess import com.antigenomics.vdjtools.sample.Clonotype import com.antigenomics.vdjtools.sample.Sample class TopCountSampler implements Sampler { final Sample sample TopCountSampler(Sample sample) { this.sample = sample } @Override Sample reSample(int count) { if (count >= sample.count) { return new Sample(sample) } else { def countMap = new HashMap() // same as with strict overlap int countSum = 0 sample.any { countSum += it.count countMap.put(it, it.count) countSum >= count } return new Sample(sample, countMap) } } } vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/preprocess/Decontaminate.groovy000644 001750 001750 00000012547 13525023773 034510 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.preprocess import com.antigenomics.vdjtools.misc.Software import com.antigenomics.vdjtools.io.SampleWriter import com.antigenomics.vdjtools.pool.RatioFilter import com.antigenomics.vdjtools.sample.ClonotypeFilter import com.antigenomics.vdjtools.sample.Sample import com.antigenomics.vdjtools.sample.SampleCollection import com.antigenomics.vdjtools.sample.metadata.MetadataTable import static com.antigenomics.vdjtools.misc.ExecUtil.formOutputPath def DEFAULT_CONT_RATIO = "20" def cli = new CliBuilder(usage: "Decontaminate [options] " + "[sample1 sample2 ... if not -m] output_prefix") cli.h("display help message") cli.m(longOpt: "metadata", argName: "filename", args: 1, "Metadata file. First and second columns should contain file name and sample id. " + "Header is mandatory and will be used to assign column names for metadata.") cli._(longOpt: "read-based", "Remove contamination based on read ratios, not fractions. " + "Useful when dealing with contaminations on the same sequencing lane, not that " + "good for FACS-related contaminations.") cli.r(longOpt: "ratio", argName: "double", args: 1, "Parent-to-child clonotype frequency ratio for contamination filtering [default = $DEFAULT_CONT_RATIO]") cli._(longOpt: "low-mem", "Will process all sample pairs sequentially, avoiding" + " loading all of them into memory. Slower but memory-efficient mode. [UNUSED]") cli.c(longOpt: "compress", "Compress output sample files.") def opt = cli.parse(args) if (opt == null) { System.exit(2) } if (opt.h) { cli.usage() System.exit(2) } // Check if metadata is provided def metadataFileName = opt.m if (metadataFileName ? opt.arguments().size() != 1 : opt.arguments().size() < 3) { if (metadataFileName) println "Output prefix should be provided in case of -m" else println "At least 2 sample files should be provided if not using -m" cli.usage() System.exit(2) } def outputFilePrefix = opt.arguments()[-1], // todo: implement low-mem version // this will lead eventually to the problem of removing Clonotype ref from dynamic clonotype lowMem = (boolean) opt.'low-mem', ratio = (opt.r ?: DEFAULT_CONT_RATIO).toDouble(), readBased = (boolean) opt.'read-based', compress = (boolean) opt.c def scriptName = getClass().canonicalName.split("\\.")[-1] // // Batch load samples // println "[${new Date()} $scriptName] Reading samples" def sampleCollection = metadataFileName ? new SampleCollection((String) metadataFileName, Software.VDJtools, false, true) : new SampleCollection(opt.arguments()[0..-2], Software.VDJtools, false, true) println "[${new Date()} $scriptName] ${sampleCollection.size()} samples prepared" // // Vamos a generar un sample aunado // println "[${new Date()} $scriptName] Creating sample pool for filtering" def ratioFilter = readBased ? new RatioFilter(sampleCollection, ratio) : new RatioFilter(sampleCollection, ratio) // // Go through all sample once more and perform freq-based filtering // def sw = new SampleWriter(compress, true) new File(formOutputPath(outputFilePrefix, "dec", "summary")).withPrintWriter { pw -> def header = "$MetadataTable.SAMPLE_ID_COLUMN\t" + sampleCollection.metadataTable.columnHeader + "\t" + ClonotypeFilter.ClonotypeFilterStats.HEADER pw.println(header) sampleCollection.each { sample -> def sampleId = sample.sampleMetadata.sampleId println "[${new Date()} $scriptName] Filtering $sampleId" def newSample = new Sample(sample, ratioFilter) sw.writeConventional(newSample, outputFilePrefix) def stats = ratioFilter.getStatsAndFlush() pw.println([sampleId, sample.sampleMetadata, stats].join("\t")) } } sampleCollection.metadataTable.storeWithOutput(outputFilePrefix, compress, "dec:$ratio") println "[${new Date()} $scriptName] Finished" vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/preprocess/DownSampler.groovy000644 001750 001750 00000010402 13525023773 034154 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.preprocess import com.antigenomics.vdjtools.sample.Clonotype import com.antigenomics.vdjtools.sample.Sample import com.antigenomics.vdjtools.misc.MathUtil /** * A class that implements down-sampling procedure, i.e. * selecting {@code n < N} reads from a given sample with {@code N} reads * * TODO: rewrite method in plain Java. Known issue: this will not work for samples with getCount() > Integer.MAX_VALUE */ public class DownSampler implements Sampler{ private final Clonotype[] flattenedClonotypes private final Sample sample private final boolean unweighted /** * Create a down-sampler for the specified sample * @param sample sample that would be down-sampled */ public DownSampler(Sample sample) { this(sample, false) } /** * Create a down-sampler for the specified sample * @param sample sample that would be down-sampled * @param unweighted don't weight clonotypes by frequency during sampling */ public DownSampler(Sample sample, boolean unweighted) { if (!unweighted && sample.count > Integer.MAX_VALUE) { throw new RuntimeException("Couldn't downsample samples with > ${Integer.MAX_VALUE} cells") } this.sample = sample this.flattenedClonotypes = new Clonotype[unweighted ? sample.diversity : sample.count] this.unweighted = unweighted int counter = 0 sample.each { if (unweighted) { flattenedClonotypes[counter++] = it } else { for (int i = 0; i < it.count; i++) { flattenedClonotypes[counter++] = it } } } } /** * Gets a specified number of reads from a given sample * @param count number of reads (weighted) or clonotypes (unweighted) to take * @return a newly create down-sampled sample, or the underlying sample if the number of reads is greater or equal to the sample size */ public Sample reSample(int count) { if (unweighted ? count >= sample.diversity : count >= sample.count) { return new Sample(sample) } else { MathUtil.shuffle(flattenedClonotypes) def countMap = new HashMap() // same as with strict overlap if (unweighted) { for (int i = 0; i < count; i++) { def clonotype = flattenedClonotypes[i] countMap.put(clonotype, clonotype.count) } } else { for (int i = 0; i < count; i++) { def clonotype = flattenedClonotypes[i] countMap.put(clonotype, (countMap[clonotype] ?: 0) + 1) } } return new Sample(sample, countMap) } } } vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/preprocess/DownSample.groovy000644 001750 001750 00000007523 13525023773 034004 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.preprocess import com.antigenomics.vdjtools.io.SampleWriter import com.antigenomics.vdjtools.sample.SampleCollection def cli = new CliBuilder(usage: "DownSample [options] " + "[sample1 sample2 sample3 ... if -m is not specified] output_prefix") cli.h("display help message") cli.m(longOpt: "metadata", argName: "filename", args: 1, "Metadata file. First and second columns should contain file name and sample id. " + "Header is mandatory and will be used to assign column names for metadata.") cli.x(longOpt: "size", argName: "integer", required: true, args: 1, "Number of reads/clonotypes to sample.") cli.u(longOpt: "unweighted", "Don't weight clonotypes by frequency during sampling.") cli.c(longOpt: "compress", "Compress output sample files.") def opt = cli.parse(args) if (opt == null) System.exit(2) if (opt.h || opt.arguments().size() == 0) { cli.usage() System.exit(2) } // Check if metadata is provided def metadataFileName = opt.m if (metadataFileName ? opt.arguments().size() != 1 : opt.arguments().size() < 2) { if (metadataFileName) println "Only output prefix should be provided in case of -m" else println "At least 1 sample files should be provided if not using -m" cli.usage() System.exit(2) } // Remaining arguments def x = (int) opt.x.toInteger(), compress = (boolean) opt.c, unweighted = (boolean) opt.u, outputPrefix = opt.arguments()[-1] def scriptName = getClass().canonicalName.split("\\.")[-1] // // Batch load all samples (lazy) // println "[${new Date()} $scriptName] Reading sample(s)" def sampleCollection = metadataFileName ? new SampleCollection((String) metadataFileName) : new SampleCollection(opt.arguments()[0..-2]) println "[${new Date()} $scriptName] ${sampleCollection.size()} sample(s) loaded" // // Iterate over samples & down-sample // def sampleWriter = new SampleWriter(compress, true) sampleCollection.eachWithIndex { sample, ind -> def downSampler = new DownSampler(sample, unweighted) def newSample = downSampler.reSample(x) println "[${new Date()} $scriptName] Processed ${ind + 1} sample(s).. Writing output" // print output sampleWriter.writeConventional(newSample, outputPrefix) } sampleCollection.metadataTable.storeWithOutput(outputPrefix, compress, "ds:$x") println "[${new Date()} $scriptName] Finished"src/main/groovy/com/antigenomics/vdjtools/preprocess/ApplySampleAsFilter.groovy000644 001750 001750 00000013405 13525023773 035531 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.preprocess import com.antigenomics.vdjtools.io.SampleFileConnection import com.antigenomics.vdjtools.io.SampleWriter import com.antigenomics.vdjtools.overlap.OverlapType import com.antigenomics.vdjtools.sample.ClonotypeFilter import com.antigenomics.vdjtools.sample.IntersectionClonotypeFilter import com.antigenomics.vdjtools.sample.Sample import com.antigenomics.vdjtools.sample.SampleCollection import com.antigenomics.vdjtools.sample.metadata.MetadataTable import static com.antigenomics.vdjtools.misc.ExecUtil.formOutputPath def scriptName = getClass().canonicalName.split("\\.")[-1] def I_TYPE_DEFAULT = "strict" def cli = new CliBuilder(usage: "ApplySampleAsFilter [options] " + "[sample1 sample2 ... if not -m] filter_sample output_prefix") cli.h("display help message") cli.m(longOpt: "metadata", argName: "filename", args: 1, "Metadata file. First and second columns should contain file name and sample id. " + "Header is mandatory and will be used to assign column names for metadata.") cli.i(longOpt: "intersect-type", argName: "string", args: 1, "Intersection type to apply. " + "Allowed values: $OverlapType.allowedNames. " + "Will use '$I_TYPE_DEFAULT' by default.") cli.e(longOpt: "negative", "Will report clonotypes that are not present in filter_sample. " + "The default action is to retain only them.") cli._(longOpt: "save-freqs", "Preserve clonotype frequencies as in original sample. " + "By default, output sample(s) will be re-normalized to have a sum of clonotype frequencies equal to 1.") cli.c(longOpt: "compress", "Compress output sample files.") def opt = cli.parse(args) if (opt == null) { //cli.usage() System.exit(2) } if (opt.h) { cli.usage() System.exit(2) } // Check if enough arguments are provided def metadataFileName = opt.m if (metadataFileName ? opt.arguments().size() != 2 : opt.arguments().size() < 3) { if (metadataFileName) println "Output prefix and filter sample should be provided in case of -m" else println "At least 1 sample, filter sample and output path should be provided if not using -m" cli.usage() System.exit(2) } // IO stuff def filterFileName = opt.arguments()[-2], saveFreqs = (boolean) opt.'save-freqs', compress = (boolean) opt.c, outputFilePrefix = opt.arguments()[-1] // Parameters def intersectionType = OverlapType.getByShortName((opt.i ?: I_TYPE_DEFAULT)), negative = (boolean) opt.e if (!intersectionType) { println "[ERROR] Bad overlap type specified ($opt.i). " + "Allowed values are: $OverlapType.allowedNames" System.exit(2) } // // Load samples // println "[${new Date()} $scriptName] Reading input samples & filter sample" def sampleCollection = metadataFileName ? new SampleCollection((String) metadataFileName) : new SampleCollection(opt.arguments()[0..-3]) println "[${new Date()} $scriptName] Loading filter sample" def filterSample = SampleFileConnection.load(filterFileName) def clonotypeFilter = new IntersectionClonotypeFilter(intersectionType, filterSample, negative) // // Filter samples // println "[${new Date()} $scriptName] Filtering (${negative ? "negative" : "positive"}) and writing output" def sw = new SampleWriter(compress, !saveFreqs) new File(formOutputPath(outputFilePrefix, "asaf", "summary")).withPrintWriter { pw -> def header = "$MetadataTable.SAMPLE_ID_COLUMN\t" + sampleCollection.metadataTable.columnHeader + "\t" + ClonotypeFilter.ClonotypeFilterStats.HEADER pw.println(header) sampleCollection.each { Sample sample -> // Filter def sampleId = sample.sampleMetadata.sampleId println "[${new Date()} $scriptName] Filtering $sampleId sample." def filteredSample = new Sample(sample, clonotypeFilter) // print filter stats def stats = clonotypeFilter.getStatsAndFlush() pw.println([sampleId, sample.sampleMetadata, stats].join("\t")) // print output sw.writeConventional(filteredSample, outputFilePrefix) } } sampleCollection.metadataTable.storeWithOutput(outputFilePrefix, compress, "asaf:$filterSample.sampleMetadata.sampleId:${negative ? "-" : "+"}:$intersectionType.shortName") println "[${new Date()} $scriptName] Finished"vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/preprocess/Sampler.groovy000644 001750 001750 00000003137 13525023773 033333 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.preprocess import com.antigenomics.vdjtools.sample.Sample interface Sampler { Sample reSample(int x) } vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/preprocess/TopSampler.groovy000644 001750 001750 00000003542 13525023773 034016 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.preprocess import com.antigenomics.vdjtools.sample.BlankClonotypeFilter import com.antigenomics.vdjtools.sample.Sample class TopSampler implements Sampler { final Sample sample TopSampler(Sample sample) { this.sample = sample } @Override Sample reSample(int top) { new Sample(sample, BlankClonotypeFilter.INSTANCE, top) } } src/main/groovy/com/antigenomics/vdjtools/preprocess/TopQuantileSampler.groovy000644 001750 001750 00000004532 13525023773 035442 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.preprocess import com.antigenomics.vdjtools.sample.Clonotype import com.antigenomics.vdjtools.sample.Sample class TopQuantileSampler implements Sampler { final Sample sample TopQuantileSampler(Sample sample) { this.sample = sample } @Override Sample reSample(int quantile) { if (quantile >= 100) { return new Sample(sample) } else { def countMap = new HashMap() // same as with strict overlap double freqSum = 0 sample.any { freqSum += it.freq int currentQuantile = freqSum * 100 if (currentQuantile < quantile) { countMap.put(it, it.count) } currentQuantile >= quantile } return new Sample(sample, countMap) } } } src/main/groovy/com/antigenomics/vdjtools/preprocess/FilterBySegment.groovy000644 001750 001750 00000012623 13525023773 034714 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.preprocess import com.antigenomics.vdjtools.io.SampleWriter import com.antigenomics.vdjtools.sample.* import com.antigenomics.vdjtools.sample.metadata.MetadataTable import static com.antigenomics.vdjtools.misc.ExecUtil.formOutputPath def cli = new CliBuilder(usage: "FilterBySegment [options] " + "[sample1 sample2 sample3 ... if -m is not specified] output_prefix") cli.h("Display help message.") cli.m(longOpt: "metadata", argName: "filename", args: 1, "Metadata file. First and second columns should contain file name and sample id. " + "Header is mandatory and will be used to assign column names for metadata.") cli.e(longOpt: "negative", "Will retain only clonotypes that lack specified V/D/J segments.") cli.v(longOpt: "v-segments", argName: "v1,v2,...", args: 1, "A comma-separated list of Variable segments. " + "Incomplete names will act as wildcards.") cli.d(longOpt: "d-segments", argName: "d1,d2,...", args: 1, "A comma-separated list of Diversity segments. " + "Incomplete names will act as wildcards.") cli.j(longOpt: "j-segments", argName: "j1,j2,...", args: 1, "A comma-separated list of Joining segments. " + "Incomplete names will act as wildcards.") cli._(longOpt: "save-freqs", "Preserve clonotype frequencies as in original sample. " + "By default, output sample(s) will be re-normalized to have a sum of clonotype frequencies equal to 1.") cli.c(longOpt: "compress", "Compress output sample files.") def opt = cli.parse(args) if (opt == null) System.exit(2) if (opt.h || opt.arguments().size() == 0) { cli.usage() System.exit(2) } // Check if metadata is provided def metadataFileName = opt.m if (metadataFileName ? opt.arguments().size() != 1 : opt.arguments().size() < 2) { if (metadataFileName) println "Only output prefix should be provided in case of -m" else println "At least 1 sample files should be provided if not using -m" cli.usage() System.exit(2) } // Remaining arguments def outputFilePrefix = opt.arguments()[-1], saveFreqs = (boolean) opt.'save-freqs', compress = (boolean) opt.c, negative = (boolean) opt.e def vFilter = opt.v ? new VFilter(((String) opt.v).split(",")) : BlankClonotypeFilter.INSTANCE, dFilter = opt.d ? new DFilter(((String) opt.d).split(",")) : BlankClonotypeFilter.INSTANCE, jFilter = opt.j ? new JFilter(((String) opt.j).split(",")) : BlankClonotypeFilter.INSTANCE def scriptName = getClass().canonicalName.split("\\.")[-1] // // Batch load all samples (lazy) // println "[${new Date()} $scriptName] Reading sample(s)" def sampleCollection = metadataFileName ? new SampleCollection((String) metadataFileName) : new SampleCollection(opt.arguments()[0..-2]) println "[${new Date()} $scriptName] ${sampleCollection.size()} sample(s) loaded" // // Iterate over samples & filter // def writer = new SampleWriter(compress, !saveFreqs) def filter = new CompositeClonotypeFilter(negative, vFilter, dFilter, jFilter) new File(formOutputPath(outputFilePrefix, "segfilter", "summary")).withPrintWriter { pw -> def header = "$MetadataTable.SAMPLE_ID_COLUMN\t" + sampleCollection.metadataTable.columnHeader + "\t" + ClonotypeFilter.ClonotypeFilterStats.HEADER pw.println(header) sampleCollection.eachWithIndex { sample, ind -> def sampleId = sample.sampleMetadata.sampleId println "[${new Date()} $scriptName] Filtering $sampleId.." def filteredSample = new Sample(sample, filter) // print output writer.writeConventional(filteredSample, outputFilePrefix) def stats = filter.getStatsAndFlush() pw.println([sampleId, sample.sampleMetadata, stats].join("\t")) } } sampleCollection.metadataTable.storeWithOutput(outputFilePrefix, compress, "segfilter:${negative ? "remove" : "keep"}:${opt.v ?: "."}:${opt.d ?: "."}:${opt.j ?: "."}") println "[${new Date()} $scriptName] Finished"src/main/groovy/com/antigenomics/vdjtools/preprocess/FilterByFrequency.groovy000644 001750 001750 00000013317 13525023773 035254 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.preprocess import com.antigenomics.vdjtools.io.SampleWriter import com.antigenomics.vdjtools.sample.CountFilter import com.antigenomics.vdjtools.sample.* import com.antigenomics.vdjtools.sample.metadata.MetadataTable import static com.antigenomics.vdjtools.misc.ExecUtil.formOutputPath def DEFAULT_FREQ_THRESHOLD = "0", DEFAULT_QUANTILE_THRESHOLD = "1", DEFAULT_COUNT_THRESHOLD = "0" def cli = new CliBuilder(usage: "FilterByFrequency [options] " + "[sample1 sample2 sample3 ... if -m is not specified] output_prefix") cli.h("display help message") cli.m(longOpt: "metadata", argName: "filename", args: 1, "Metadata file. First and second columns should contain file name and sample id. " + "Header is mandatory and will be used to assign column names for metadata.") cli.f(longOpt: "freq-threshold", argName: "double", args: 1, "Clonotype frequency threshold. Set it to 0 to disable. " + "[default = $DEFAULT_FREQ_THRESHOLD]") cli.x(longOpt: "count-threshold", argName: "int", args: 1, "Clonotype count (number of reads) threshold. Set it to 0 to disable. [default = $DEFAULT_COUNT_THRESHOLD]") cli.q(longOpt: "quantile-threshold", argName: "double", args: 1, "Quantile threshold. Will retain a set of top N clonotypes " + "so that their total frequency is equal or less to the specified threshold, " + "e.g. '0.25' will select top 25% clonotypes by frequency. " + "Set it to 1 to disable." + "[default = $DEFAULT_QUANTILE_THRESHOLD]") cli._(longOpt: "save-freqs", "Preserve clonotype frequencies as in original sample. " + "By default, output sample(s) will be re-normalized to have a sum of clonotype frequencies equal to 1.") cli.c(longOpt: "compress", "Compress output sample files.") def opt = cli.parse(args) if (opt == null) System.exit(2) if (opt.h || opt.arguments().size() == 0) { cli.usage() System.exit(2) } // Check if metadata is provided def metadataFileName = opt.m if (metadataFileName ? opt.arguments().size() != 1 : opt.arguments().size() < 2) { if (metadataFileName) println "Only output prefix should be provided in case of -m" else println "At least 1 sample files should be provided if not using -m" cli.usage() System.exit(2) } // Remaining arguments def outputFilePrefix = opt.arguments()[-1], freqThreshold = (opt.f ?: DEFAULT_FREQ_THRESHOLD).toDouble(), countThreshold = (opt.x ?: DEFAULT_COUNT_THRESHOLD).toInteger(), quantileThreshold = (opt.q ?: DEFAULT_QUANTILE_THRESHOLD).toDouble(), saveFreqs = (boolean) opt.'save-freqs', compress = (boolean) opt.c def scriptName = getClass().canonicalName.split("\\.")[-1] // // Batch load all samples (lazy) // println "[${new Date()} $scriptName] Reading sample(s)" def sampleCollection = metadataFileName ? new SampleCollection((String) metadataFileName) : new SampleCollection(opt.arguments()[0..-2]) println "[${new Date()} $scriptName] ${sampleCollection.size()} sample(s) loaded" // // Iterate over samples & filter // def writer = new SampleWriter(compress, !saveFreqs) def filter = new CompositeClonotypeFilter( new CountFilter(countThreshold), new FrequencyFilter(freqThreshold), new QuantileFilter(quantileThreshold) ) new File(formOutputPath(outputFilePrefix, "freqfilter", "summary")).withPrintWriter { pw -> def header = "$MetadataTable.SAMPLE_ID_COLUMN\t" + sampleCollection.metadataTable.columnHeader + "\t" + ClonotypeFilter.ClonotypeFilterStats.HEADER pw.println(header) sampleCollection.eachWithIndex { sample, ind -> def sampleId = sample.sampleMetadata.sampleId println "[${new Date()} $scriptName] Filtering $sampleId.." def filteredSample = new Sample(sample, filter) // print output writer.writeConventional(filteredSample, outputFilePrefix) def stats = filter.getStatsAndFlush() pw.println([sampleId, sample.sampleMetadata, stats].join("\t")) } } sampleCollection.metadataTable.storeWithOutput(outputFilePrefix, compress, "freqfilter:$freqThreshold:$quantileThreshold:$countThreshold") println "[${new Date()} $scriptName] Finished" vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/VdjTools.groovy000644 001750 001750 00000020155 13525023773 031306 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools import com.antigenomics.vdjtools.annotate.Annotate import com.antigenomics.vdjtools.annotate.CalcCdrAaStats import com.antigenomics.vdjtools.annotate.CalcDegreeStats import com.antigenomics.vdjtools.annotate.SegmentsToFamilies import com.antigenomics.vdjtools.basic.* import com.antigenomics.vdjtools.diversity.CalcDiversityStats import com.antigenomics.vdjtools.diversity.PlotQuantileStats import com.antigenomics.vdjtools.diversity.RarefactionPlot import com.antigenomics.vdjtools.operate.JoinSamples import com.antigenomics.vdjtools.operate.PoolSamples import com.antigenomics.vdjtools.overlap.* import com.antigenomics.vdjtools.preprocess.* import com.antigenomics.vdjtools.misc.* import java.util.jar.JarFile def getVersion = { (getClass().classLoader.findResource(JarFile.MANIFEST_NAME).text =~ /Implementation-Version: (.+)/)[0][1] } def printHelp = { def version = getVersion() println "VDJtools V$version" println "" println "Run as \$java -jar vdjtools-${version}.jar ROUTINE_NAME arguments" println "" println "[Basic]" println "CalcBasicStats" println "CalcSpectratype" println "CalcSegmentUsage" println "PlotFancySpectratype" println "PlotSpectratypeV" println "PlotFancyVJUsage" println "" println "[Diversity]" println "CalcDiversityStats" println "RarefactionPlot" println "PlotQuantileStats" println "" println "[Overlap]" println "OverlapPair" println "CalcPairwiseDistances" println "ClusterSamples" println "TestClusters" println "TrackClonotypes" println "" println "[Preprocessing]" println "ApplySampleAsFilter" println "FilterNonFunctional" println "FilterByFrequency" println "DownSample" println "Decontaminate" println "FilterBySegment" println "SelectTop" println "" println "[Operation]" println "PoolSamples" println "JoinSamples" println "(Enrichment) -> Deprecated" println "" println "[Annotation]" println "(ScanDatabase) -> moved to VDJdb since 1.0.5, please visit vdjdb.cdr3.net" println "CalcCdrAaStats" println "CalcDegreeStats" println "Annotate" println "SegmentsToFamilies" println "" println "[Util]" println "FilterMetadata" println "SplitMetadata" println "Convert" println "RInstall" println "" println "* Run with 'discard_scripts' option prior to ROUTINE_NAME to clean up R scripts upon execution" } def getScript = { String scriptName -> switch (scriptName.toUpperCase()) { case "CALCBASICSTATS": return new CalcBasicStats() case "CALCSPECTRATYPE": return new CalcSpectratype() case "CALCSEGMENTUSAGE": return new CalcSegmentUsage() case "PLOTFANCYSPECTRATYPE": return new PlotFancySpectratype() case "PLOTSPECTRATYPEV": return new PlotSpectratypeV() case "PLOTFANCYVJUSAGE": return new PlotFancyVJUsage() case "CALCDIVERSITYSTATS": return new CalcDiversityStats() case "RAREFACTIONPLOT": return new RarefactionPlot() case "PLOTQUANTILESTATS": return new PlotQuantileStats() case "OVERLAPPAIR": return new OverlapPair() case "CALCPAIRWISEDISTANCES": return new CalcPairwiseDistances() case "CLUSTERSAMPLES": return new ClusterSamples() case "TESTCLUSTERS": return new TestClusters() case "TRACKCLONOTYPES": return new TrackClonotypes() case "APPLYSAMPLEASFILTER": return new ApplySampleAsFilter() case "DECONTAMINATE": return new Decontaminate() case "FILTERBYSEGMENT": return new FilterBySegment() case "FILTERBYFREQUENCY": return new FilterByFrequency() case "FILTERNONFUNCTIONAL": return new FilterNonFunctional() case "DOWNSAMPLE": return new DownSample() case "SELECTTOP": return new SelectTop() case "CORRECT": return new Correct() case "POOLSAMPLES": return new PoolSamples() case "JOINSAMPLES": return new JoinSamples() case "ENRICHMENT": println "Deprecated" System.exit(0) break case "CALCCDRAASTATS": return new CalcCdrAaStats() case "CALCDEGREESTATS": return new CalcDegreeStats() case "ANNOTATE": return new Annotate() case "SEGMENTSTOFAMILIES": return new SegmentsToFamilies() case "SCANDATABASE": println "Moved to VDJdb since 1.0.5, please visit vdjdb.cdr3.net" System.exit(0) break case "FILTERMETADATA": return new FilterMetadata() case "SPLITMETADATA": return new SplitMetadata() case "CONVERT": return new Convert() case "RINSTALL": return new RInstall() case "-H": case "H": case "-HELP": case "HELP": case "": printHelp() println "" System.exit(0) break case "DUMMY": System.exit(0) break default: printHelp() println "" println "Unknown routine name $scriptName" System.exit(0) } } if (args.length == 0) { printHelp() } else { if (args[0].toLowerCase() == "discard_scripts") { if (args.length == 1) { printHelp() System.exit(0) } RUtil.REMOVE_R_SCRIPTS = true args = args[1..-1] } def script = getScript(args[0]) try { ExecUtil.run(script, args.size() > 1 ? args[1..-1] : [""]) } catch (Exception e) { def version = getVersion() println "[ERROR] ${e.toString()}, see _vdjtools_error.log for details" new File("_vdjtools_error.log").withWriterAppend { writer -> writer.println("[${new Date()} BEGIN]") writer.println("[Script]") writer.println(args[0]) writer.println("[CommandLine]") writer.println("executing vdjtools-${version}.jar ${args.join(" ")}") writer.println("[Message]") writer.println(e.toString()) writer.println("[StackTrace-Short]") writer.println(e.stackTrace.findAll { it.toString().contains("com.antigenomics.vdjtools") }.join("\n")) writer.println("[StackTrace-Full]") e.printStackTrace(new PrintWriter(writer)) writer.println("[END]") } System.exit(1) } }vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/misc/000755 001750 001750 00000000000 13525023773 027223 5ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/misc/Software.groovy000644 001750 001750 00000015437 13525023773 032276 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.misc /** * An enum that holds the list of supported Rep-seq processing software and parsing rules for their output. */ enum Software { MiTcr("\t", null, 2, false, false, ["count", "freq", "cdr3nt", _, _, "cdr3aa", _, "v", _, "j", _, "d", "VEnd", "DStart", "DEnd", "JStart"]), MiXcr("\t", null, 1, true, false, ["count", "freq", "cdr3nt", "cdr3aa", "v", "d", "j", "VEnd", "DStart", "DEnd", "JStart"]), MiGec("\t", null, 1, false, false, ["count", "freq", "cdr3nt", "cdr3aa", "v", "j", "d", "VEnd", "DStart", "DEnd", "JStart"]), MigMap("\t", null, 1, true, false, [_, _, "count", "freq", "cdr1nt", "cdr2nt", "cdr3nt", "cdr1aa", "cdr2aa", "cdr3aa", "inFrame", "noStop", "complete", 4.times { _ }].flatten()), ImmunoSeq("\t", null, 1, true, true, ["cdr3nt", "cdr3aa", "count", "freq", "cdr3Length", _, "v", 5.times { _ }, _, "d", 5.times { _ }, _, "j", 5.times { _ }, 6.times { _ }, _, "VEnd", "DStart", "DEnd", "JStart"].flatten()), ImmunoSeqV2("\t", null, 1, true, true, ["cdr3nt", "cdr3aa", "count", "freq", "cdr3Length", _, "v", 5.times { _ }, _, "d", 5.times { _ }, _, "j", 5.times { _ }, 6.times { _ }, _, "VEnd", "DStart", "DEnd", "JStart"].flatten()), ImgtHighVQuest("\t", null, 1, true, true, [3.times { _ }, "v", "j", "d", 9.times { _ }, "cdr3nt", 47.times { _ }, // comprehensive output "VEnd", 12.times { _ }, "DStart", "DEnd", 28.times { _ }, "JStart"].flatten()), // Tricky for ImSEQ: // Output is not tab-delimited table, no freq, incomplete V/J names, no D, etc 'per read output' // is specified to re-calculate clonotype frequencies ImSeq("[\t:]", null, 0, true, true, ["v", "cdr3nt", "j", "count"]), Vidjil("\t", null, 0, true, true, []), // Same for RTCR - need to recompute frequencies RTCR("\t", null, 1, true, true, ["count", "cdr3aa", "v", "j", "cdr3nt", "VEnd", "JStart"]), VDJtools("\t", null, 1, false, false, ["count", "freq", "cdr3nt", "cdr3aa", "v", "d", "j", "VEnd", "DStart", "DEnd", "JStart"]), VDJtoolsRenorm("\t", null, 1, true, true, ["count", "freq", "cdr3nt", "cdr3aa", "v", "d", "j", "VEnd", "DStart", "DEnd", "JStart"]) static final String _ = "blank" final String delimiter, comment final boolean collapseRequired, perReadOutput final int headerLineCount @Deprecated final List printFields /** * Parsing rule for clonotype table produced by specified V-(D)-J mapping software. * @param delimiter delimited used in clonotype table. * @param comment comment character. * @param headerLineCount number of header lines. * @param collapseRequired if true, will additionally collapse clonotypes with identical V-CDR3nt-J (should be set to true if per read output is true). * @param perReadOutput if set to true, assumes per-read output and accumulates clonotype counts. * @param printFields fields that should be printed when writing a sample in specific format. (deprecated, default output is VDJtools_. */ Software(String delimiter, String comment, int headerLineCount, boolean collapseRequired, boolean perReadOutput, List printFields) { this.delimiter = delimiter this.comment = comment this.headerLineCount = headerLineCount this.collapseRequired = collapseRequired this.perReadOutput = perReadOutput this.printFields = printFields if (perReadOutput && !collapseRequired) throw new RuntimeException("Collapsing should always be performed for a software with per-read output") } /** * Gets a software by name, case-insensitive. * @param name software name. * @return software type. */ static Software byName(String name) { def software = values().find { it.toString().toLowerCase() == name.toLowerCase() } if (!software) throw new IllegalArgumentException("Unknown software $name") software } /** * List of allowed software names. */ static String allowedNames = values().collect { it.toString().toLowerCase() }.join(",") } vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/misc/CommonUtil.groovy000644 001750 001750 00000036075 13525023773 032573 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.misc import java.util.regex.Pattern import java.util.zip.GZIPInputStream /** * Class containing commonly used static functions for sequence manipulation and I/O */ public class CommonUtil { public static final String PLACEHOLDER = "." public static final String AA_LIST = /[FLSYCWPHQRIMTNKVADEGX\\*\\?]/ // Amino-acid sequence regex pattern public static final char[] NTS = ['A', 'T', 'G', 'C'], // list of allowed nucleotide characters (excluding N) AAS = ['F', 'L', 'S', 'Y', // list of allowed amino acid characters (excluding X and stop codon) 'C', 'W', 'P', 'H', 'Q', 'R', 'I', 'M', 'T', 'N', 'K', 'V', 'A', 'D', 'E', 'G'] /** * Converts amino acid character to corresponding byte code * @param aa amino acid character (or stop codon), should be upper case * @return byte code in 0..20, or -1 if unknown character was provided */ public static final byte aa2code(char aa) { switch (aa) { case 'F': return 0 case 'L': return 1 case 'S': return 2 case 'Y': return 3 case 'C': return 4 case 'W': return 5 case 'P': return 6 case 'H': return 7 case 'Q': return 8 case 'R': return 9 case 'I': return 10 case 'M': return 11 case 'T': return 12 case 'N': return 13 case 'K': return 14 case 'V': return 15 case 'A': return 16 case 'D': return 17 case 'E': return 18 case 'G': return 19 case '*': return 20 default: return -1 } } /** * Converts byte code to corresponding amino acid character * @param code byte code, should be in 0..20 * @return amino acid character (or stop codon), or X for unknown byte code */ public static final char code2aa(byte code) { switch (code) { case 0: return 'F' case 1: return 'L' case 2: return 'S' case 3: return 'Y' case 4: return 'C' case 5: return 'W' case 6: return 'P' case 7: return 'H' case 8: return 'Q' case 9: return 'R' case 10: return 'I' case 11: return 'M' case 12: return 'T' case 13: return 'N' case 14: return 'K' case 15: return 'V' case 16: return 'A' case 17: return 'D' case 18: return 'E' case 19: return 'G' case 20: return '*' default: return 'X' } } /** * Gets a byte code that corresponds to a given nucleotide * @param nt nucleotide, should be upper case * @return 0..3 for "A", "T", "G" or "C", -1 otherwise */ public static final byte nt2code(char nt) { switch (nt) { case 'A': return 0 case 'T': return 1 case 'G': return 2 case 'C': return 3 default: return -1 } } /** * Gets a nucleotide that corresponds to a given byte code * @param code nucleotide byte code * @return nucleotide (upper-case) for 0..3, "N" otherwise */ public static final char code2nt(byte code) { switch (code) { case 0: return 'A' case 1: return 'T' case 2: return 'G' case 3: return 'C' default: return 'N' } } /** * Gets the complementary nucleotide (case-insensitive) * @param nt nucleotide * @return complementary nucleotide or N if a character other than A, T, G or C is passed */ public static final char rcNt(char nt) { switch (nt) { case 'A': return 'T' case 'G': return 'C' case 'T': return 'A' case 'C': return 'G' case 'a': return 't' case 'g': return 'c' case 't': return 'a' case 'c': return 'g' default: return 'N' } } /** * Gets the reverse complement of a given nucleotide sequence * @param seq a nucleotide sequence * @return reverse complement, sequence on a complementary strand */ public static String rc(String seq) { def chars = seq.reverse().toCharArray() for (int i = 0; i < chars.length; i++) { chars[i] = rcNt(chars[i]) } return new String(chars) } /** * Translates a given codon * @param codon a string of three nucleotides * @return corresponding amino acid, "*" for stop codon, "X" if codon contains undefined nucleotide "N", "?" for incomplete codon */ public static char codon2aa(String codon) { String codonUpper = codon.toUpperCase() switch (codonUpper) { case 'TTT': return 'F' case 'TTC': return 'F' case 'TTA': return 'L' case 'TTG': return 'L' case 'TCT': return 'S' case 'TCC': return 'S' case 'TCA': return 'S' case 'TCG': return 'S' case 'TAT': return 'Y' case 'TAC': return 'Y' case 'TAA': return '*' case 'TAG': return '*' case 'TGT': return 'C' case 'TGC': return 'C' case 'TGA': return '*' case 'TGG': return 'W' case 'CTT': return 'L' case 'CTC': return 'L' case 'CTA': return 'L' case 'CTG': return 'L' case 'CCT': return 'P' case 'CCC': return 'P' case 'CCA': return 'P' case 'CCG': return 'P' case 'CAT': return 'H' case 'CAC': return 'H' case 'CAA': return 'Q' case 'CAG': return 'Q' case 'CGT': return 'R' case 'CGC': return 'R' case 'CGA': return 'R' case 'CGG': return 'R' case 'ATT': return 'I' case 'ATC': return 'I' case 'ATA': return 'I' case 'ATG': return 'M' case 'ACT': return 'T' case 'ACC': return 'T' case 'ACA': return 'T' case 'ACG': return 'T' case 'AAT': return 'N' case 'AAC': return 'N' case 'AAA': return 'K' case 'AAG': return 'K' case 'AGT': return 'S' case 'AGC': return 'S' case 'AGA': return 'R' case 'AGG': return 'R' case 'GTT': return 'V' case 'GTC': return 'V' case 'GTA': return 'V' case 'GTG': return 'V' case 'GCT': return 'A' case 'GCC': return 'A' case 'GCA': return 'A' case 'GCG': return 'A' case 'GAT': return 'D' case 'GAC': return 'D' case 'GAA': return 'E' case 'GAG': return 'E' case 'GGT': return 'G' case 'GGC': return 'G' case 'GGA': return 'G' case 'GGG': return 'G' default: if (codonUpper.contains("N") && codonUpper.length() == 3) return "X" // undefined else return '?' // incomplete } } /** * INTERNAL gets resource stream reader for a given resource * @param resourceName relative path to a given resource, e.g. "/imgt/segments.all.txt" * @return resource stream reader */ public static InputStreamReader resourceStreamReader(String resourceName) { new InputStreamReader(resourceStream(resourceName)) } public static InputStream resourceStream(String resourceName) { CommonUtil.class.classLoader.getResourceAsStream(resourceName) } /** * Gets file input stream for the specified file * @param fileName path to file, will assume gzipped file if ends with ".gz" * @return file input stream, or corresponding wrapper for gzipped files */ public static InputStream getFileStream(String fileName) { fileName.endsWith(".gz") ? new GZIPInputStream(new FileInputStream(fileName)) : new FileInputStream(fileName) } public static String getSubSequence(String sequence, int from, int to) { String left = "", right = "" if (from < 0) { left = "N" * (-from) from = 0 } if (to > sequence.length()) { right = "N" * (to - sequence.length()) to = sequence.length() } left + sequence.substring(from, to) + right } /** * INTERNAL Bring V/D/J alleles to unified look * todo: consider allowing minor alleles */ public static List extractVDJ(List vdj) { vdj.collect { def major = it.split(",")[0] // Taking only first variant in case of ties major = major.split("\\*")[0] // trim allele if present major = major.replaceAll("\"", "").trim() // zap characters introduced by file editing in external software (Excel,etc) major.length() > 0 ? major : PLACEHOLDER } } public static List extractVDJImmunoSeq(List vdj) { extractVDJ(vdj).collect { if (it.equalsIgnoreCase("unresolved")) { return PLACEHOLDER } else { // Immunoseq uses TCRBV instead of TRBV def res = it.replaceAll("TCR", "TR") // TCRBV12-03 -> TRBV12-3 (1..9).each { int i -> res = res.replaceAll("0$i".toString(), "$i".toString()) } return res } } } public static List extractVDJImmunoSeq(List vdjFamilyTies, List vdjFamilies, List vdjGenes) { vdjFamilyTies = extractVDJImmunoSeq(vdjFamilyTies) vdjFamilies = extractVDJImmunoSeq(vdjFamilies) vdjGenes = extractVDJImmunoSeq(vdjGenes) def res = [] vdjGenes.eachWithIndex { String gene, int i -> res << (gene == PLACEHOLDER ? (vdjFamilies[i] == PLACEHOLDER ? vdjFamilyTies[i] : vdjFamilies[i]) : gene) } res } /* * CDR3 mapping & translation */ final static String CYS_REGEX = /TG[TC]/, PHE_TRP_REGEX = /(?:TGG|TT[TC])(?:GG[ATGC]|GC[ATGC])...GG[ATGC]/, PHE_TRP_SHORT_REGEX = /(?:TGG|TT[TC])(?:GG[ATGC]|GC[ATGC])/ private final static J_REF_PATTERN = Pattern.compile(PHE_TRP_REGEX), J_REF_SHORT_PATTERN = Pattern.compile(PHE_TRP_SHORT_REGEX) static int getJReferencePoint(String sequence) { def matchers = [J_REF_PATTERN, J_REF_SHORT_PATTERN].collect { it.matcher(sequence) } def matcher = matchers.find { it.find() } matcher ? (matcher.start() - 1) : -1 } final static String OOF_SYMBOLS_POSSIBLE = /([atgc#~_\?])+/, OOF_CHAR = "_", STOP_CHAR = "*" /** * Translates CDR3 sequence in V> 0) { def mid = (int) (seq.size() / 2) seq = seq.substring(0, mid) + ("?" * (3 - oof)) + seq.substring(mid, seq.length()) } def leftEnd = -1, rightEnd = -1 for (int i = 0; i <= seq.size() - 3; i += 3) { def codon = seq.substring(i, i + 3) if (codon.contains("?")) { leftEnd = i break } aaSeq += codon2aa(codon) } if (oof == 0) return aaSeq def aaRight = "" for (int i = seq.size(); i >= 3; i -= 3) { def codon = seq.substring(i - 3, i) if (codon.contains("?")) { rightEnd = i break } aaRight += codon2aa(codon) } return aaSeq + seq.substring(leftEnd, rightEnd).toLowerCase() + aaRight.reverse() } static String toUnifiedCdr3Aa(String seq) { seq.replaceAll(OOF_SYMBOLS_POSSIBLE, OOF_CHAR) } static boolean noStop(String seq) { !(seq.contains(STOP_CHAR)) } static boolean inFrame(String seq) { !((boolean) (seq =~ OOF_SYMBOLS_POSSIBLE)) } } vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/misc/ExecUtil.groovy000644 001750 001750 00000020504 13525023773 032215 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.misc import com.antigenomics.vdjtools.basic.SegmentUsage import com.antigenomics.vdjtools.overlap.Overlap import com.antigenomics.vdjtools.overlap.OverlapEvaluator import com.antigenomics.vdjtools.sample.Sample import org.apache.commons.io.FilenameUtils import java.nio.file.FileSystems import java.nio.file.Path import static java.io.File.separator /** * Class that contains commonly used static functions for running scripts and I/O */ public class ExecUtil { // todo: use this everywhere public static final String MY_PATH = new File(ExecUtil.class.protectionDomain.codeSource.location.path).parent public static final int THREADS = Runtime.runtime.availableProcessors() /** * Gets the memory footprint of Java Runtime Environment * @return a string containing memory usage summary */ public static String memoryFootprint() { final factor = 1024 * 1024 * 1024 int maxMemory = Runtime.runtime.maxMemory() / factor, allocatedMemory = Runtime.runtime.totalMemory() / factor, freeMemory = Runtime.runtime.freeMemory() / factor "Memory usage: $allocatedMemory of ${maxMemory + freeMemory} GB" } public static void report(Object me, String message) { report(me, message, true) } public static void report(Object me, String message, boolean verbose) { if (verbose) { def scriptName = me.class.canonicalName.split("\\.")[-1] println "[${new Date()} $scriptName] $message" } } /** * Runs a specified Groovy script * @param script groovy script object * @param args list of arguments * @return script */ public static Object run(Script script, List args) { // perform cleanup args = args.collect { it.trim() } args.removeAll { it.length() == 0 } //def argArray = args.split(" "). // findAll { it != " " && it != "" }. // collect { it.replaceAll("//+", "/").toString() } //println "Executing ${script.class.canonicalName} ${argArray.join(" ")}" //script.binding.setVariable("args", argArray) println "Executing ${script.class.canonicalName} ${args.collect().join(" ")}" script.binding.setVariable("args", args as String[]) script.run() } /** * Routines for I/O logistics */ /** * Makes sure that a given path exists * @param path */ public static void ensureDir(String path) { if (path.endsWith(separator)) new File(path).mkdirs() else new File(path).absoluteFile.parentFile.mkdirs() } /** * Creates a temporary directory * @param pathPrefix * @return */ public static String createTempDir(String pathPrefix) { def tmpPath = getAbsolutePath(pathPrefix).toString() + "-vdjtools-" + UUID.randomUUID().toString() def tmpFolderFile = new File(tmpPath) tmpFolderFile.mkdirs() tmpFolderFile.deleteOnExit() tmpPath } /** * Internal */ private static Path getAbsolutePath(String path) { getPath(path).toAbsolutePath() } /** * Internal */ private static Path getPath(String path) { FileSystems.default.getPath(path) } /** * Provides a relative path to a sample given metadata path as reference. * Mainly used to store sample path in newly created metadata files * @param metadataPath path to a metadata file * @param samplePath path to a sample file * @return */ public static String relativeSamplePath(String metadataPath, String samplePath) { getAbsolutePath(metadataPath).parent.normalize().toAbsolutePath() .relativize(getAbsolutePath(samplePath)).toString() } /** * Gets the absolute path to a sample file using metadata path as reference * @param metadataPath path to a metadata file * @param samplePath path to a sample file as recorded in metadata file * @return */ public static String absoluteSamplePath(String metadataPath, String samplePath) { if (getPath(samplePath).absolute) { return samplePath } getAbsolutePath(metadataPath).parent.resolve(samplePath).normalize().toAbsolutePath().toString() } /** * Gets the output path according to VDJtools convention, with file name parts joined by '.' * @param outputPrefix output prefix, either directory name or directory name + prefix * @param outputSuffix one or more output suffices * @return output/prefix.suffix1.suffix2.txt or outputPrefix/suffix1.suffix2.txt */ public static String formOutputPath(String outputPrefix, String... outputSuffix) { outputSuffix = outputSuffix.findAll { it && it.length() > 0 && it != "null" } if (outputSuffix.any { it.contains(separator) }) throw new IOException("Output suffices should not contain path separator") if (outputPrefix.length() == 0) outputPrefix = "." if (outputPrefix == ".") outputPrefix += separator boolean dir = outputPrefix.endsWith(separator) if (new File(outputPrefix).isDirectory() && !dir) { dir = true outputPrefix += separator } ensureDir(outputPrefix) def s = outputSuffix.join(".") (dir ? (outputPrefix + s) : (outputPrefix + "." + s)) + ((s.endsWith(".txt") || s.endsWith(".pdf") || s.endsWith(".png")) ? "" : ".txt") } public static String toPlotPath(String outputPath, String plotType) { outputPath[-4] == "." ? (outputPath[0..-5] + "." + plotType) : (outputPath + "." + plotType) } /** * Gets the output path for sample output according to VDJtools convention * @param outputPrefix output prefix, either directory name or directory name + prefix * @param sample sample object * @return */ public static String formOutputPath(String outputPrefix, Sample sample) { formOutputPath(outputPrefix, sample.sampleMetadata.sampleId) } /** * Gets the metadata file output path according to VDJtools convention * @param outputPrefix output prefix, either directory name or directory name + prefix * @param splitterValue value used when splitting metadata by column * @return */ public static String formMetadataPath(String outputPrefix, String splitterValue = null) { outputPrefix = FilenameUtils.getPath(outputPrefix) // leave only directory in output prefix formOutputPath(outputPrefix, "metadata", splitterValue) } public static String toDirPath(String path) { path + separator } public static void quiet() { SegmentUsage.VERBOSE = false OverlapEvaluator.VERBOSE = false Overlap.VERBOSE = false } } vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/misc/FilterMetadata.groovy000644 001750 001750 00000005614 13525023773 033366 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.misc import com.antigenomics.vdjtools.sample.SampleCollection import com.antigenomics.vdjtools.sample.metadata.MetadataEntryExpressionFilter def cli = new CliBuilder(usage: "FilterMetadata [options] metadata.txt output_dir output_suffix") cli.h("display help message") cli.f(longOpt: "filter", argName: "string", args: 1, required: true, "Filter expression, metadata column names should be marked with ${MetadataEntryExpressionFilter.FILTER_MARK}, " + "e.g. \"__chain__=~/TR[AB]/\" or \"__chain__=='TRA'||__chain__=='TRB'\"") def opt = cli.parse(args) if (opt == null) { System.exit(2) } if (opt.h || opt.arguments().size() != 3) { cli.usage() System.exit(2) } def metadataFileName = opt.arguments()[0], filter = (String) opt.f, outputDir = ExecUtil.toDirPath(opt.arguments()[1]), outputSuffix = opt.arguments()[2] def scriptName = getClass().canonicalName.split("\\.")[-1] // Lazy load sample list, need to get absolute paths println "[${new Date()} $scriptName] Checking sample(s)" def sampleCollection = new SampleCollection((String) metadataFileName, Software.VDJtools, false) println "[${new Date()} $scriptName] Filtering metadata by $filter" def filteredMetadataTable = sampleCollection.metadataTable.select(new MetadataEntryExpressionFilter(filter)) filteredMetadataTable.storeWithOutput(outputDir, sampleCollection, outputSuffix) println "[${new Date()} $scriptName] Finished"vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/misc/RInstall.groovy000644 001750 001750 00000005144 13525023773 032226 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.misc import java.util.zip.ZipInputStream println "[RInstall] Opening resources stream" def src = RInstall.class.protectionDomain.codeSource, jar = src.location, zip = new ZipInputStream(jar.openStream()) def entry def dependencies = new HashSet() println "[RInstall] Scanning for dependencies" while ((entry = zip.nextEntry)) { if (entry.name.toUpperCase().endsWith(".R")) { println "[RInstall] Scanning $entry.name" CommonUtil.resourceStreamReader(entry.name).readLines().each { String line -> if (line =~ /require\(.+\)/) line.split("require\\(").each { String token -> if (token.contains(")")) { def dependency = token.split("\\)")[0] println "$dependency" dependencies.add(dependency) } } } } } println "[RInstall] Full list of dependencies to be installed:\n${dependencies.join(" ")}" RUtil.install(dependencies as String[]) println "[RInstall] Testing" RUtil.test(dependencies as String[]) println "[RInstall] Finished"vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/misc/Convert.groovy000644 001750 001750 00000007311 13525023773 032114 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.misc import com.antigenomics.vdjtools.io.SampleWriter import com.antigenomics.vdjtools.sample.SampleCollection def cli = new CliBuilder(usage: "Convert [options] " + "[sample1 sample2 sample3 ... if -m is not specified] output_prefix") cli.h("display help message") cli.S(longOpt: "software", argName: "string", required: true, args: 1, "Input RepSeq data format. Currently supported: ${Software.values().join(", ")}") cli.m(longOpt: "metadata", argName: "filename", args: 1, "Metadata file. First and second columns should contain file name and sample id. " + "Header is mandatory and will be used to assign column names for metadata.") cli.c(longOpt: "compress", "Compress output sample files.") def opt = cli.parse(args) if (opt == null) System.exit(2) if (opt.h || opt.arguments().size() == 0) { cli.usage() System.exit(2) } // Check if metadata is provided def metadataFileName = opt.m if (metadataFileName ? opt.arguments().size() != 1 : opt.arguments().size() < 2) { if (metadataFileName) println "Only output prefix should be provided in case of -m" else println "At least 1 sample files should be provided if not using -m" cli.usage() System.exit(2) } // Remaining arguments def software = Software.byName(opt.S), compress = (boolean) opt.c, outputPrefix = opt.arguments()[-1] def scriptName = getClass().canonicalName.split("\\.")[-1] // // Batch load all samples (lazy) // println "[${new Date()} $scriptName] Reading sample(s)" def sampleCollection = metadataFileName ? new SampleCollection((String) metadataFileName, software) : new SampleCollection(opt.arguments()[0..-2], software) println "[${new Date()} $scriptName] ${sampleCollection.size()} sample(s) loaded" // // Iterate over samples & write them in new format // def sampleWriter = new SampleWriter(compress) sampleCollection.eachWithIndex { sample, ind -> println "[${new Date()} $scriptName] Processed ${ind + 1} sample(s).. Writing output" // print output sampleWriter.writeConventional(sample, outputPrefix) } sampleCollection.metadataTable.storeWithOutput(outputPrefix, compress, "conv:$software") println "[${new Date()} $scriptName] Finished"vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/misc/RUtil.groovy000644 001750 001750 00000012051 13525023773 031530 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.misc /** * Class containing static utils for executing R scripts */ public class RUtil { public static final String PACKAGES_PATH = "$ExecUtil.MY_PATH/Rpackages/" // Local R library path public static final String NA = "NA", NULL = "NULL" // NaN and null in R public static boolean REMOVE_R_SCRIPTS = false private static String separatorsToSystem(String path) { File.separatorChar as String == '\\' ? path.replaceAll("/", "\\\\") .replaceAll("\\\\+", "\\\\\\\\") : path // Don't even try to ask why } /** * Converts a given object to numeric variable * @param smth object to convert * @return a numeric string or NA if object couldn't be converted */ public static String asNumeric(smth) { if (smth == null) return NULL def smthStr = smth.toString() if (!smthStr.isDouble()) return NA def value = smthStr.toDouble() (value.isNaN() || value.isInfinite()) ? NA : value.toString() } /** * Converts a given object to logical variable * @param smth object to convert * @return "T" for true or "F" for false */ public static String logical(smth) { smth ? "T" : "F" } /** * Execute a given R script * @param scriptName R script name * @param params script parameters */ public static void execute(String scriptName, String... params) { // Create a temp file to store the script def scriptRes = CommonUtil.resourceStreamReader("rscripts/$scriptName") //scriptName = UUID.randomUUID().toString() + "_" + scriptName def scriptFile = new File(scriptName) scriptFile.withPrintWriter { pw -> // Set up library path correctly // Don't do anything if packages are not installed // as this would misguide R not to use /usr/ library pw.println("#args <- c(${params.collect { '"' + it + '"' }.join(", ")})") if (new File(PACKAGES_PATH).exists()) pw.println(separatorsToSystem(".libPaths(\"$PACKAGES_PATH\")")) // Write the rest of script to temp file scriptRes.readLines().each { pw.println(it) } } if (REMOVE_R_SCRIPTS) { scriptFile.deleteOnExit() } // Run script try { runScript(scriptName, params) } catch (IOException e) { if (e.toString().contains("error=2")) { println "[ERROR] Rscript not found, looks like R is not installed" } } } static void runScript(String scriptName, String... params) { def cmd = ["Rscript", scriptName, params] println "[RUtil] Executing ${cmd.flatten().join(" ")}" def proc = cmd.flatten().execute() proc.in.eachLine { println(it) } proc.out.close() proc.waitFor() if (proc.exitValue()) { println "[ERROR] ${proc.getErrorStream()}" } } /** * Install specified R packages * @param dependencies names of packages to install (case-sensitive) */ public static void install(String... dependencies) { new File(PACKAGES_PATH).mkdirs() execute("install.r", [PACKAGES_PATH, dependencies].flatten() as String[]) } /** * Test if specified R packages are installed * @param dependencies names of packages that will be checked (case-sensitive) */ public static void test(String... dependencies) { execute("test.r", dependencies) } } vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/misc/SplitMetadata.groovy000644 001750 001750 00000006261 13525023773 033233 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.misc import com.antigenomics.vdjtools.sample.SampleCollection import com.antigenomics.vdjtools.sample.metadata.BlankMetadataEntryFilter def cli = new CliBuilder(usage: "SplitMetadata [options] metadata.txt output_dir") cli.h("display help message") cli.c(longOpt: "columns", argName: "string1,string2,...", args: 1, required: true, "Column name(s) to split metadata by.") def opt = cli.parse(args) if (opt == null) { System.exit(2) } if (opt.h || opt.arguments().size() != 2) { cli.usage() System.exit(2) } def metadataFileName = opt.arguments()[0], columnIds = ((String) opt.c).split(","), outputDir = ExecUtil.toDirPath(opt.arguments()[1]) def scriptName = getClass().canonicalName.split("\\.")[-1] // Lazy load sample list, need to get absolute paths println "[${new Date()} $scriptName] Checking sample(s)" def sampleCollection = new SampleCollection((String) metadataFileName, Software.VDJtools, false) println "[${new Date()} $scriptName] Splitting metadata by $columnIds" def sampleIdByMetadataValue = new HashMap>() sampleCollection.metadataTable.each { sampleMetadata -> def key = columnIds.collect { sampleMetadata[it].value }.join(".") def sampleList = sampleIdByMetadataValue[key] if (sampleList == null) { sampleIdByMetadataValue.put(key, sampleList = new ArrayList()) } sampleList.add(sampleMetadata.sampleId) } sampleIdByMetadataValue.each { def filteredMetadataTable = sampleCollection.metadataTable.select(BlankMetadataEntryFilter.INSTANCE, new HashSet(it.value)) filteredMetadataTable.storeWithOutput(outputDir, sampleCollection, it.key) } println "[${new Date()} $scriptName] Finished" vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/diversity/000755 001750 001750 00000000000 13525023773 030312 5ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/diversity/Rarefaction.groovy000644 001750 001750 00000021606 13525023773 034023 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.diversity import com.antigenomics.vdjtools.overlap.OverlapType import com.antigenomics.vdjtools.sample.Sample /** * A class that is used to compute a rarefaction curve based on {@link com.antigenomics.vdjtools.diversity.ChaoEstimator}. * Rarefaction curve shows the relation between sample richness and sample size. * Implementation is based on Colwell et al 2012 paper. * * @url http://viceroy.eeb.uconn.edu/estimates/EstimateSPages/EstSUsersGuide/References/ColwellEtAl2012.pdf */ class Rarefaction { private final FrequencyTable frequencyTable private final ChaoEstimator chaoEstimator private final long n /** * Computes the interpolated/exact/extrapolated richness estimate for a given sample size. * @param coord sample size. * @return species richness estimate. */ SpeciesRichness getAt(long coord) { coord > n ? chaoEstimator.chaoE(coord) : chaoEstimator.chaoI(coord) } /** * Creates an instance that will perform rarefaction for a given sample. * @param sample sample to analyze. * @param intersectionType specifies a method that will be used to collapse clonotypes when computing a {@link com.antigenomics.vdjtools.diversity.FrequencyTable}. */ Rarefaction(Sample sample, OverlapType intersectionType) { this.frequencyTable = new FrequencyTable(sample, intersectionType) this.n = frequencyTable.count this.chaoEstimator = new ChaoEstimator(frequencyTable) } /** * Creates an instance that will perform rarefaction for a given frequency table. * @param frequencyTable a {@link com.antigenomics.vdjtools.diversity.FrequencyTable} summarizing the number of clonotypes met once, twice, ... in a given clonotype set. */ Rarefaction(FrequencyTable frequencyTable) { this.frequencyTable = frequencyTable this.n = frequencyTable.count this.chaoEstimator = new ChaoEstimator(frequencyTable) } /** * Creates an instance that will perform rarefaction for a given sample. * Will use {@code com.antigenomics.vdjtools.overlap.IntersectionType # Strict} to build a {@link com.antigenomics.vdjtools.diversity.FrequencyTable}. * @param sample sample to analyze. */ Rarefaction(Sample sample) { this(sample, OverlapType.Strict) } /** * Builds a rarefaction curve interpolation up to given sample size. * @return create the interpolated part of rarefaction curve. */ ArrayList interpolate() { build(n) } /** * Extrapolates rarefaction curve from the size of a given sample up to a specified size. * @param to where to extrapolate. * @return the extrapolated part of rarefaction curve. * @throws IllegalArgumentException if {@code to} is less than {@code sample size + 1}. */ ArrayList extrapolate(long to) { build(n + 1, to) } /** * Builds a rarefaction curve interpolation up to given sample size. * @param numberOfPoints number of size steps. * @return create the interpolated part of rarefaction curve. */ ArrayList interpolate(int numberOfPoints) { build(n, numberOfPoints) } /** * Extrapolates rarefaction curve starting from the size of a given sample up to a specified size. * @param to where to extrapolate. * @param numberOfPoints number of points in rarefaction curve. * @return * @throws IllegalArgumentException if {@code to} is less than {@code sample size + 1}. */ ArrayList extrapolate(long to, int numberOfPoints) { build(n + 1, to, numberOfPoints) } /** * Builds a rarefaction curve from sample size {@code 0} up to sample size {@code to}. * @param to sample size for last rarefaction point. * @return rarefaction curve. */ ArrayList build(long to) { build(0L, to) } /** * Builds a rarefaction curve starting from sample size {@code from} up to sample size {@code to}. * @param from sample size for first rarefaction point. * @param to sample size for last rarefaction point. * @return rarefaction curve. */ ArrayList build(long from, long to) { build(from, to, Math.min(101, (int) n)) } /** * Builds a rarefaction curve starting from sample size {@code from} up to sample size {@code to}. * @param from sample size for first rarefaction point. * @param to sample size for last rarefaction point. * @param numberOfPoints number of points in rarefaction curve. * @return rarefaction curve. */ ArrayList build(long from, long to, int numberOfPoints) { if (from > to) throw new IllegalArgumentException("from should be less than to") def rarefactionCurve = new ArrayList() double step = (to - from) / (double) (numberOfPoints - 1) boolean hasExact = false for (int i = 0; i < numberOfPoints - 1; i++) { long m = from + i * step if (m == n) hasExact = true rarefactionCurve.add(new RarefactionPoint(this[m])) } if (!hasExact) rarefactionCurve.add(new RarefactionPoint(chaoEstimator.chaoI(n))) // add the last point (more robust & label placing in plotting) rarefactionCurve.add(new RarefactionPoint(chaoEstimator.chaoE(to))) rarefactionCurve.sort { it.x } } /** * Holds summary for rarefied richness estimate. */ static class RarefactionPoint { private final double x, mean, ciU, ciL private final RichnessEstimateType richnessType public RarefactionPoint(SpeciesRichness richness) { this.richnessType = richness.type this.x = richnessType == RichnessEstimateType.TotalDiversityLowerBoundEstimate ? 1e20 : richness.size this.mean = richness.mean this.ciL = mean - 1.96 * richness.std this.ciU = mean + 1.96 * richness.std } /** * Gets the coordinate, i.e. sample size. * @return {@code x} coordinate of rarefaction curve. */ double getX() { x } /** * Gets the mean of rarefied richness estimate. * @return {@code y} coordinate of rarefaction curve. */ double getMean() { mean } /** * Gets the upper bound of 95% confidence interval of rarefied richness estimate. * @return upper bound coordinate of rarefaction curve. */ double getCiU() { ciU } /** * Gets the lower bound of 95% confidence interval of rarefied richness estimate. * @return lower bound coordinate of rarefaction curve. */ double getCiL() { ciL } /** * Gets the richness estimate type: interpolated, exact or extrapolated. * @return richness type. */ RichnessEstimateType getRichnessType() { richnessType } /** * Header string, used for tabular output. */ static final String HEADER = "x\tmean\tciL\tciU\ttype" /** * Plain text row for tabular output. */ @Override public String toString() { [x, mean, ciL, ciU, richnessType.id].join("\t") } } } vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/diversity/FrequencyTable.groovy000644 001750 001750 00000022305 13525023773 034474 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.diversity import com.antigenomics.vdjtools.Countable import com.antigenomics.vdjtools.join.ClonotypeKeyGen import com.antigenomics.vdjtools.join.key.ClonotypeKey import com.antigenomics.vdjtools.overlap.OverlapType import com.antigenomics.vdjtools.pool.ClonotypeAggregator import com.antigenomics.vdjtools.pool.PooledSample import com.antigenomics.vdjtools.pool.SampleAggregator import com.antigenomics.vdjtools.pool.StoringClonotypeAggregator import com.antigenomics.vdjtools.sample.Sample /** * A base class for providing info on the frequencies of rare (singletons, doubletons) * and tabulating frequencies of abundant clonotypes. The class is a wrapper for mapping between * clonotype frequency and the number of clonotypes with a given frequency table. */ class FrequencyTable { private final long count, diversity private final Map frequencyMap = new HashMap<>() /** * Creates a frequency table from cache. * @param frequencyTableCache a {@code [clonotype count -> number of clonotypes]} mapping. */ FrequencyTable(Map frequencyTableCache) { long count = 0, diversity = 0 frequencyTableCache.each { frequencyMap.put((long) it.key, // absolutely necessary conversion here, time to switch to Scala :) new FrequencyTableBin(it.key, it.value)) count += it.key * it.value diversity += it.value } this.count = count this.diversity = diversity } /** * Gets the frequency table cache. * @return {@code [clonotype count -> number of clonotypes]} mapping. */ Map getCache() { frequencyMap.values().collectEntries { [(it.count): it.diversity] } } /** * Creates frequency table that bins clonotypes according to their frequency. * @param sample sample to tabulate. */ FrequencyTable(Sample sample) { this(sample, OverlapType.Strict) } /** * Creates frequency table that bins clonotypes according to their frequency. * @param sample sample to tabulate. * @param intersectionType overlap type used to collapse clonotypes. */ FrequencyTable(Sample sample, OverlapType intersectionType) { // collapse clonotypes by a specific key def clonotypeKeyGen = new ClonotypeKeyGen(intersectionType) // todo: parallelization possible def hashedCounts = new HashMap() sample.each { def key = clonotypeKeyGen.generateKey(it) def counter = hashedCounts[key] if (!counter) hashedCounts.put(key, counter = new Counter()) counter.add(it) } this.diversity = hashedCounts.size() def counters = hashedCounts.values() // compute frequency table counters.each { long x = it.count def bin = frequencyMap[x] if (!bin) frequencyMap.put(x, bin = new FrequencyTableBin(x)) bin.increment() } this.count = sample.count } /** * Creates frequency table that bins clonotypes according to their occurrence in a set of samples. * @param pool pooled samples. */ FrequencyTable(PooledSample pool) { long diversity = 0, count = 0 // compute frequency table pool.each { StoringClonotypeAggregator it -> long x = it.incidenceCount def bin = frequencyMap[x] if (!bin) frequencyMap.put(x, bin = new FrequencyTableBin(x)) bin.increment() diversity++ count += x } this.count = count this.diversity = diversity } /** * Gets the total number of clonotypes in this table, * in accordance with {@link OverlapType} used to collapse the sample. * @return total number of clonotypes in the table after they were collapsed. */ long getDiversity() { diversity } /** * Gets the total read count in this table. * @return total number of reads. */ long getCount() { this.count } /** * Gets the number of singleton clonotypes, i.e. those met only once. * @return singleton frequency. */ int getSingletons() { this[1] } /** * Gets the number of doubleton clonotypes, i.e. those met only twice * @return doubleton frequency. */ int getDoubletons() { this[2] } /** * Gets the number of clonotypes with the given count. * @param count number of reads. * @return number of clonotypes with a given read count. */ int getAt(long count) { def bin = frequencyMap[count] bin ? bin.diversity : 0 } /** * Gets the bins that have at least one clonotype in them. * @return a collection of non-empty bins. */ Collection getBins() { Collections.unmodifiableCollection(frequencyMap.values().sort { -it.count }) } /** * Header for plain-text output. */ static final String HEADER = "count_bin\tclonotypes_in_bin" @Override String toString() { bins.collect() { it.count + "\t" + it.diversity }.join("\n") } /** * Frequency table bin. */ class FrequencyTableBin { private final long count private int diversity = 0 /** * Creates a new frequency table bin. * @param count number of reads, used as key. */ FrequencyTableBin(long count) { this.count = count } /** * Creates a new frequency table bin. * @param count number of reads, used as key. * @param diversity number of clonotypes in this bin. */ FrequencyTableBin(long count, long diversity) { this.count = count this.diversity = diversity } /** * Increment the number of clonotypes in this bin. */ void increment() { this.diversity++ } /** * Decrement the number of clonotypes in this bin. */ void decrement() { this.diversity-- } /** * Get the number of reads that specify this bin. * @return read count for this bin. public long getCount() { this.count }/** * Gets the number of clonotypes in this bin. * @return clonotype diversity in this bin. * @see com.antigenomics.vdjtools.diversity.FrequencyTable#getDiversity() */ int getDiversity() { this.diversity } /** * Gets the ratio of clonotypes in this bin and the total diversity of the sample. * @return ratio of clonotypes in this bin. * @see com.antigenomics.vdjtools.diversity.FrequencyTable#getDiversity() */ double getRelativeDiversity() { this.diversity / (double) FrequencyTable.this.diversity } /** * Get the clonotype frequency that specify this bin. * @return frequency in this bin. */ double getFreq() { this.count / (double) FrequencyTable.this.count } @Override boolean equals(o) { if (this.is(o)) return true if (getClass() != o.class) return false FrequencyTableBin that = (FrequencyTableBin) o this.count == that.count } @Override int hashCode() { (int) (this.count ^ (this.count >>> 32)) } } private static class Counter { int count = 0 void add(Countable other) { count += other.count } } } vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/diversity/Chao2Estimator.groovy000644 001750 001750 00000004404 13525023773 034407 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.diversity import com.antigenomics.vdjtools.join.JointSample class Chao2Estimator { final JointSample jointSample Chao2Estimator(JointSample jointSample) { this.jointSample = jointSample } DiversityEstimate compute() { def sObs = jointSample.diversity, q1 = 0, q2 = 0, m = jointSample.numberOfSamples jointSample.each { def occurences = it.occurrences if (occurences == 1) q1++ else if (occurences == 2) q2++ } def q1q2 = q1 / q2 new DiversityEstimate(sObs + (m - 1) / m * q1 * (q1 - 1) / 2 / (q2 + 1), Math.sqrt(q2 * (0.5 * Math.pow(q1q2, 2) + Math.pow(q1q2, 3) + 0.25 * Math.pow(q1q2, 4))), m) } } src/main/groovy/com/antigenomics/vdjtools/diversity/RarefactionPlot.groovy000644 001750 001750 00000016034 13525023773 034602 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.diversity import com.antigenomics.vdjtools.overlap.OverlapType import com.antigenomics.vdjtools.sample.Sample import com.antigenomics.vdjtools.sample.SampleCollection import com.antigenomics.vdjtools.sample.metadata.MetadataTable import com.antigenomics.vdjtools.misc.RUtil import static com.antigenomics.vdjtools.misc.ExecUtil.formOutputPath import static com.antigenomics.vdjtools.misc.ExecUtil.toPlotPath def STEPS_DEFAULT = "101", I_TYPE_DEFAULT = OverlapType.Strict def cli = new CliBuilder(usage: "RarefactionPlot [options] " + "[sample1 sample2 sample3 ... if -m is not specified] output_prefix") cli.h("display help message") // general cli.m(longOpt: "metadata", argName: "filename", args: 1, "Metadata file. First and second columns should contain file name and sample id. " + "Header is mandatory and will be used to assign column names for metadata.") // algorithm cli.i(longOpt: "intersect-type", argName: "string", args: 1, "Intersection rule to apply. Allowed values: $OverlapType.allowedNames. " + "Will use '$I_TYPE_DEFAULT' by default.") cli.s(longOpt: "steps", argName: "int", args: 1, "Number of steps (points) in the rarefaction curve " + "(including 0 and the observed diversity). [default=$STEPS_DEFAULT]") cli.X(longOpt: "extrapolate-to", argName: "integer", args: 1, "Number of reads to take for extrapolating rarefaction curve. " + "Should be greater or equal (default) to size of largest sample.") // plotting: cli._(longOpt: "plot-type", argName: "pdf|png", args: 1, "Plot output format [default=pdf]") cli.p(longOpt: "plot", "[plotting] Unused.") cli.l(longOpt: "label", argName: "string", args: 1, "[plotting] Name of metadata column which should be used as label") cli.f(longOpt: "factor", argName: "string", args: 1, "[plotting] Name of metadata column which should be used as a coloring factor") cli.n(longOpt: "factor-numeric", "[plotting] Treat factor values as numeric and use a gradient color scale") cli._(longOpt: "wide-plot", "[plotting] Will use wide layout for plot") cli._(longOpt: "label-exact", "[plotting] Will use corresponding sample size for x coordinate of a label. " + "Positions all labels at the biggest sample's size if not set.") def opt = cli.parse(args) if (opt == null) System.exit(2) if (opt.h || opt.arguments().size() == 0) { cli.usage() System.exit(2) } // Check if metadata is provided def metadataFileName = opt.m if (metadataFileName ? opt.arguments().size() != 1 : opt.arguments().size() < 2) { if (metadataFileName) println "Only output prefix should be provided in case of -m" else println "At least 1 sample file should be provided if not using -m" cli.usage() System.exit(2) } // Other arguments def intersectionType = opt.i ? OverlapType.getByShortName((String) opt.i) : I_TYPE_DEFAULT, steps = (opt.s ?: STEPS_DEFAULT).toInteger(), optL = opt.'l', optF = opt.'f', numericFactor = (boolean) opt.'n', widePlot = (boolean) opt.'wide-plot', labelExact = (boolean) opt.'label-exact', outputPrefix = opt.arguments()[-1], plotType = (opt.'plot-type' ?: "pdf").toString() def scriptName = getClass().canonicalName.split("\\.")[-1] // // Batch load all samples (lazy) // println "[${new Date()} $scriptName] Reading samples" def sampleCollection = metadataFileName ? new SampleCollection((String) metadataFileName) : new SampleCollection(opt.arguments()[0..-2]) println "[${new Date()} $scriptName] ${sampleCollection.size()} samples to analyze" def sampleStats = sampleCollection.sampleStatistics def maxCount = Math.max(sampleStats.maxCount, (opt.X ?: "$sampleStats.maxCount").toInteger()) // // Rarefaction analysis // def header = ["$MetadataTable.SAMPLE_ID_COLUMN", sampleCollection.metadataTable.columnHeader, Rarefaction.RarefactionPoint.HEADER].flatten().join("\t") def outputTablePath = formOutputPath(outputPrefix, "rarefaction", intersectionType.shortName) new File(outputTablePath).withPrintWriter { pw -> pw.println(header) sampleCollection.eachWithIndex { Sample sample, int i -> def sampleId = sample.sampleMetadata.sampleId println "[${new Date()} $scriptName] Gathering stats for $sampleId" def rarefaction = new Rarefaction(sample, intersectionType) println "[${new Date()} $scriptName] Bulding rarefaction curve for $sampleId" def rarefactionCurve = rarefaction.build(0, maxCount, steps) rarefactionCurve.each { pw.println([sampleId, sample.sampleMetadata, it].join("\t")) } } } // // Plotting for rarefaction analysis // println "[${new Date()} $scriptName] Plotting data" def numeric = RUtil.logical(numericFactor), addLbl = RUtil.logical(optL) int lblCol = optL ? sampleCollection.metadataTable.getColumnIndex(optL) : -1, facCol = optF ? sampleCollection.metadataTable.getColumnIndex(optF) : -1 if (facCol < 0) { numeric = RUtil.logical(false) } else { if (numeric == RUtil.logical(true) && sampleCollection.metadataTable.getInfo(optF).numericSamples < 3) { println "Switching off numeric option, there were <3 numeric values in corresponding column" numeric = RUtil.logical(false) } } RUtil.execute("rarefaction_curve.r", outputTablePath, (lblCol + 2).toString(), (facCol + 2).toString(), numeric, addLbl, RUtil.logical(widePlot), RUtil.logical(labelExact), toPlotPath(outputTablePath, plotType) ) println "[${new Date()} $scriptName] Finished"vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/diversity/ExactEstimator.groovy000644 001750 001750 00000021136 13525023773 034520 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.diversity import com.antigenomics.vdjtools.overlap.OverlapType import com.antigenomics.vdjtools.pool.PooledSample import com.antigenomics.vdjtools.pool.SampleAggregator import com.antigenomics.vdjtools.sample.Sample import groovy.transform.PackageScope import org.apache.commons.math3.util.CombinatoricsUtils /** * Class that computes richness estimates and diversity indices. * All computations are performed via the {@link com.antigenomics.vdjtools.diversity.FrequencyTable} object. * Note that the clonotype is always computed based on certain {@link OverlapType}, * which tells how to collapse clonotypes, e.g. consider identical CDR3 nucleotide or amino acid sequences, etc. * Therefore in some cases the result will be different from one obtained using raw clonotype frequencies. * This will not happen in case {@link OverlapType#Strict} is used, * which is recommended for most purposes. * * @see ResamplingEstimator * @see com.antigenomics.vdjtools.diversity.DiversityEstimate */ class ExactEstimator extends DiversityEstimator { private final long extrapolateTo private final ChaoEstimator chaoEstimator /** * INTERNAL, constructor used for {@link ResamplingEstimator.} */ @PackageScope static ExactEstimator basicDiversityEstimates(FrequencyTable frequencyTable) { new ExactEstimator(frequencyTable, -1) } /** * Creates an instance of individual-based diversity estimates class. * @param frequencyTable a {@link com.antigenomics.vdjtools.diversity.FrequencyTable} summary for sample of interest. * @param extrapolateTo desired extrapolation extent. Used to compute the * {@link com.antigenomics.vdjtools.diversity.ChaoEstimator#chaoE} estimate. * For most cases, it should be set to the size of the largest sample when several samples are to be compared. */ ExactEstimator(FrequencyTable frequencyTable, long extrapolateTo) { super(frequencyTable, EstimationMethod.Exact) this.extrapolateTo = extrapolateTo this.chaoEstimator = new ChaoEstimator(frequencyTable) } /** * Creates an instance of individual-based diversity estimates class. * Will compute {@link com.antigenomics.vdjtools.diversity.FrequencyTable} for a given sample. * @param sample a sample to analyze. * @param intersectionType {@link OverlapType} that will be used * to collapse sample during {@link com.antigenomics.vdjtools.diversity.FrequencyTable} computation * @param extrapolateTo desired extrapolation extent. Used to compute the * {@link com.antigenomics.vdjtools.diversity.ChaoEstimator#chaoE} estimate. * For most cases, it should be set to the size of the largest sample when several samples are to be compared. */ ExactEstimator(Sample sample, OverlapType intersectionType, long extrapolateTo) { this(new FrequencyTable(sample, intersectionType), extrapolateTo) } /** * Creates an instance of sample-based diversity estimates class. * Will summarize clonotype occurrences to build {@link com.antigenomics.vdjtools.diversity.FrequencyTable} * @param pool a pool of several samples to analyze. * @param extrapolateTo desired extrapolation extent. Used to compute the * {@link com.antigenomics.vdjtools.diversity.ChaoEstimator#chaoE} estimate. * For most cases, it should be set to the number of samples in the largest sample pool if several are to be compared. */ ExactEstimator(PooledSample pool, long extrapolateTo) { this(new FrequencyTable(pool), extrapolateTo) } /** * {@inheritDoc} */ @Override DiversityIndex getShannonWienerIndex() { // todo: std computaiton ? def mean = 0 frequencyTable.bins.each { FrequencyTable.FrequencyTableBin bin -> def h = bin.diversity * bin.freq * Math.log(bin.freq) mean -= h } new DiversityIndex(Math.exp(mean), 0, frequencyTable.count) } /** * {@inheritDoc} */ @Override DiversityIndex getNormalizedShannonWienerIndex() { def mean = 0 def totalDiversity = 0 frequencyTable.bins.each { FrequencyTable.FrequencyTableBin bin -> def h = bin.diversity * bin.freq * Math.log(bin.freq) mean -= h totalDiversity += bin.diversity } new DiversityIndex(mean / Math.log(totalDiversity), 0, frequencyTable.count) } /** * {@inheritDoc} */ @Override DiversityIndex getInverseSimpsonIndex() { // todo: std computaiton ? def mean = 0 frequencyTable.bins.each { FrequencyTable.FrequencyTableBin bin -> mean += bin.diversity * bin.freq * bin.freq } //std -= mean * mean new DiversityIndex(1.0 / mean, 0, frequencyTable.count) } /** * {@inheritDoc} */ @Override DiversityIndex getDxxIndex(double fraction) { if (fraction < 0 || fraction > 1) throw new IllegalArgumentException("Fraction value should be within [0,1] bounds.") def div = 0, freqSum = 0 frequencyTable.bins.find { freqSum += it.freq div++ freqSum >= fraction } new DiversityIndex(1.0 - div / (double) frequencyTable.diversity, 0, frequencyTable.count) } /** * {@inheritDoc} */ @Override SpeciesRichness getEfronThisted(int maxDepth, double cvThreshold) { double S = -1, D = -1, CV for (int depth = 1; depth <= maxDepth; depth++) { final double[] h = new double[depth], nx = new double[depth] for (int y = 1; y <= depth; y++) { nx[y - 1] = frequencyTable[y] // Calculate Euler coefficients for (int x = 1; x <= y; x++) { def coef = CombinatoricsUtils.binomialCoefficientDouble((int) (y - 1), (int) (x - 1)) if (x % 2 == 1) h[x - 1] += coef else h[x - 1] -= coef } } // Extrapolate count S = frequencyTable.diversity + (double) (0.. h[i] * nx[i] } D = Math.sqrt((double) (0.. h[i] * h[i] * nx[i] }) CV = D / S // Go to maximum count depth, but balance that STD doesn't get too high if (CV >= cvThreshold) break } new SpeciesRichness((long) S, (long) D, frequencyTable.count, RichnessEstimateType.TotalDiversityLowerBoundEstimate) } /** * {@inheritDoc} */ @Override SpeciesRichness getChao1() { chaoEstimator.chao1() } /** * {@inheritDoc} */ @Override DiversityEstimate getChaoE() { extrapolateTo < frequencyTable.count ? DiversityEstimate.DUMMY : chaoEstimator.chaoE(extrapolateTo) } /** * {@inheritDoc} */ @Override SpeciesRichness getObservedDiversity() { new SpeciesRichness(frequencyTable.diversity, 0, frequencyTable.count, RichnessEstimateType.Observed) } } src/main/groovy/com/antigenomics/vdjtools/diversity/CalcDiversityStats.groovy000644 001750 001750 00000013513 13525023773 035271 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.diversity import com.antigenomics.vdjtools.overlap.OverlapType import com.antigenomics.vdjtools.sample.Sample import com.antigenomics.vdjtools.sample.SampleCollection import com.antigenomics.vdjtools.sample.metadata.MetadataTable import static com.antigenomics.vdjtools.misc.ExecUtil.formOutputPath def I_TYPE_DEFAULT = OverlapType.Strict, RESAMPLES_DEFAULT = "3" def cli = new CliBuilder(usage: "CalcDiversityStats [options] " + "[sample1 sample2 sample3 ... if -m is not specified] output_prefix") cli.h("display help message") cli.m(longOpt: "metadata", argName: "filename", args: 1, "Metadata file. First and second columns should contain file name and sample id. " + "Header is mandatory and will be used to assign column names for metadata.") cli.x(longOpt: "downsample-to", argName: "integer", args: 1, "Number of reads to take for down-sampled sample diversity estimate." + "[default=number of reads in the smallest sample]") cli.X(longOpt: "extrapolate-to", argName: "integer", args: 1, "Number of reads to take for extrapolated sample diversity estimate." + "[default=number of reads in the largest sample]") cli.i(longOpt: "intersect-type", argName: "string", args: 1, "Intersection rule to apply. Allowed values: $OverlapType.allowedNames. " + "Will use '$I_TYPE_DEFAULT' by default.") cli._(longOpt: "resample-trials", argName: "integer", args: 1, "Number of resamples for corresponding estimator. [default = $RESAMPLES_DEFAULT]") def opt = cli.parse(args) if (opt == null) System.exit(2) if (opt.h || opt.arguments().size() == 0) { cli.usage() System.exit(2) } // Check if metadata is provided def metadataFileName = opt.m if (metadataFileName ? opt.arguments().size() != 1 : opt.arguments().size() < 2) { if (metadataFileName) println "Only output prefix should be provided in case of -m" else println "At least 1 sample files should be provided if not using -m" cli.usage() System.exit(2) } // Other arguments def intersectionType = opt.i ? OverlapType.getByShortName((String) opt.i) : I_TYPE_DEFAULT, resampleCount = (opt."resample-trials" ?: RESAMPLES_DEFAULT).toInteger(), outputPrefix = opt.arguments()[-1] def scriptName = getClass().canonicalName.split("\\.")[-1] // // Batch load all samples (lazy) // println "[${new Date()} $scriptName] Reading samples" def sampleCollection = metadataFileName ? new SampleCollection((String) metadataFileName) : new SampleCollection(opt.arguments()[0..-2]) println "[${new Date()} $scriptName] ${sampleCollection.size()} samples to analyze" // // Set up downsample/extrapolate read counts // def sampleStats = (!opt.x || !opt.X) ? sampleCollection.sampleStatistics : null def minReads = (opt.x ?: "$sampleStats.minCount").toInteger(), maxReads = (opt.X ?: "$sampleStats.maxCount").toInteger() // // Compute and output diversity measures // def headerBase = "$MetadataTable.SAMPLE_ID_COLUMN\t" + sampleCollection.metadataTable.columnHeader + "\treads\tdiversity" def exactOutputPath = formOutputPath(outputPrefix, "diversity", intersectionType.shortName, EstimationMethod.Exact.name), resampledOutputPath = formOutputPath(outputPrefix, "diversity", intersectionType.shortName, EstimationMethod.Resampled.name) new File(exactOutputPath).withPrintWriter { pwExact -> new File(resampledOutputPath).withPrintWriter { pwResampling -> pwExact.println(headerBase + "\textrapolate_reads\t" + ExactEstimator.HEADER) pwResampling.println(headerBase + "\tresample_reads\t" + ResamplingEstimator.HEADER) sampleCollection.each { Sample sample -> println "[${new Date()} $scriptName] Analyzing $sample.sampleMetadata.sampleId" def rowBase = [sample.sampleMetadata.sampleId, sample.sampleMetadata, sample.count, sample.diversity].join("\t") def exactEstimator = new ExactEstimator(sample, intersectionType, maxReads), resamplingEstimator = new ResamplingEstimator(sample, intersectionType, minReads, resampleCount) pwExact.println(rowBase + "\t" + maxReads + "\t" + exactEstimator) pwResampling.println(rowBase + "\t" + minReads + "\t" + resamplingEstimator) } } } println "[${new Date()} $scriptName] Finished" src/main/groovy/com/antigenomics/vdjtools/diversity/SpeciesRichness.groovy000644 001750 001750 00000005551 13525023773 034602 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.diversity /** * A species richness estimate that reflects the total number of clonotypes in an immune repertoire. */ class SpeciesRichness extends DiversityEstimate { private final RichnessEstimateType type /** * Creates a structure holding diversity estimate summary. * @param mean expected value of a diversity estimate. * @param std standard deviation of a diversity estimate. * @param numberOfReads number of reads in the sample that was analyzed. * @param type richness estimate type. */ SpeciesRichness(long mean, long std, long numberOfReads, RichnessEstimateType type) { super(mean, std, numberOfReads) this.type = type } /** * Creates a structure holding diversity estimate summary. * @param mean expected value of a diversity estimate. * @param std standard deviation of a diversity estimate. * @param numberOfReads number of reads in the sample that was analyzed. * @param type richness estimate type. */ SpeciesRichness(double mean, double std, long numberOfReads, RichnessEstimateType type) { this((long) mean, (long) std, numberOfReads, type) } /** * Gets the richness estimate type. * @return estimate type (interpolated/observed/extrapolated/lower bound estimate on total diversity). */ RichnessEstimateType getType() { type } } src/main/groovy/com/antigenomics/vdjtools/diversity/PlotQuantileStats.groovy000644 001750 001750 00000007065 13525023773 035152 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.diversity import com.antigenomics.vdjtools.sample.SampleCollection import com.antigenomics.vdjtools.misc.RUtil import static com.antigenomics.vdjtools.misc.ExecUtil.formOutputPath import static com.antigenomics.vdjtools.misc.ExecUtil.toPlotPath def TOP_DEFAULT = "5", TOP_MAX = 10 def cli = new CliBuilder(usage: "PlotQuantileStats [options] input_name output_prefix") cli.h("display help message") cli.t(longOpt: "top", args: 1, "Number of top clonotypes to present on the histogram. " + "Values > $TOP_MAX are not allowed, as they would make the plot unreadable. [default = $TOP_DEFAULT]") cli._(longOpt: "plot-type", argName: "pdf|png", args: 1, "Plot output format [default=pdf]") def opt = cli.parse(args) if (opt == null) System.exit(2) if (opt.h || opt.arguments().size() != 2) { cli.usage() System.exit(2) } def top = (opt.t ?: TOP_DEFAULT).toInteger(), outputFilePrefix = opt.arguments()[1], plotType = (opt.'plot-type' ?: "pdf").toString() if (top > TOP_MAX) { println "[ERROR] Specified number of top clonotypes should not exceed $TOP_MAX" System.exit(2) } def scriptName = getClass().canonicalName.split("\\.")[-1] // // Read the sample // println "[${new Date()} $scriptName] Reading sample" def sampleCollection = new SampleCollection([opt.arguments()[0]]) def sample = sampleCollection[0] // // Calc stats // println "[${new Date()} $scriptName] Computing quantile stats" def quantileStats = new QuantileStats(sample) // // Write output table // println "[${new Date()} $scriptName] Writing output" def outputFileName = formOutputPath(outputFilePrefix, "qstat") new File(outputFileName).withPrintWriter { pw -> pw.println(QuantileStats.HEADER) pw.println(quantileStats) (0.. Integer.MAX_VALUE) throw new UnsupportedOperationException() if (interpolateTo < 0 || interpolateTo > n) throw new IllegalArgumentException("Should interpolate within the size of sample") //double denom = CombinatoricsUtils.binomialCoefficientLog((int) n, (int) interpolateTo) final int n = (int) n, m = (int) interpolateTo final double denom = MathUtil.logFactorialRatio(n, m) final AtomicDouble sum1 = new AtomicDouble(), sum2 = new AtomicDouble() GParsPool.withPool ExecUtil.THREADS, { // this is quite time consuming frequencyTable.bins.eachParallel { FrequencyTable.FrequencyTableBin bin -> int k = bin.count, f = bin.diversity if (k <= n - m) { double alpha = Math.exp(MathUtil.logFactorialRatio(n - k, m) - denom) //def alpha = Math.exp(CombinatoricsUtils.binomialCoefficientLog((int) n - k, // (int) interpolateTo) - denom) sum1.addAndGet(f * alpha) sum2.addAndGet(f * (1 - alpha) * (1 - alpha)) } else { sum2.addAndGet(f) } } } double Sind = Sobs - sum1.get() new SpeciesRichness( Sind, Math.sqrt(sum2.get() - Sind * Sind / (Sobs + F0)), m, m == n ? Observed : Interpolated) } } src/main/groovy/com/antigenomics/vdjtools/diversity/RichnessEstimateType.groovy000644 001750 001750 00000003560 13525023773 035622 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.diversity /** * Type of richness estimate, mainly used by {@link com.antigenomics.vdjtools.diversity.Rarefaction} */ enum RichnessEstimateType { Interpolated(0), Observed(1), Extrapolated(2), TotalDiversityLowerBoundEstimate(3) /** * Id, mostly used for passing to R scripts */ final int id RichnessEstimateType(int id) { this.id = id } } src/main/groovy/com/antigenomics/vdjtools/diversity/EstimationMethod.groovy000644 001750 001750 00000004010 13525023773 034752 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.diversity /** * Specifies how the diversity estimate was computed */ enum EstimationMethod { /** * Exact method was used to compute mean and standard deviation */ Exact("exact"), /** * Re-sampling was used to compute mean and standard deviation */ Resampled("resampled") private final String name EstimationMethod(String name) { this.name = name } String getName() { name } @Override String toString() { name } }src/main/groovy/com/antigenomics/vdjtools/diversity/DiversityEstimator.groovy000644 001750 001750 00000016067 13525023773 035366 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.diversity /** * Base class for implementations that compute various species richness estimates and diversity indices. * @see com.antigenomics.vdjtools.diversity.DiversityIndex * @see com.antigenomics.vdjtools.diversity.SpeciesRichness */ abstract class DiversityEstimator { protected final FrequencyTable frequencyTable protected final EstimationMethod estimationMethod /** * Protected constructor. * @param frequencyTable a {@link com.antigenomics.vdjtools.diversity.FrequencyTable} summary for sample of interest. * @param estimationMethod specifies the method that is used in this estimator implementation. */ protected DiversityEstimator(FrequencyTable frequencyTable, EstimationMethod estimationMethod) { this.frequencyTable = frequencyTable this.estimationMethod = estimationMethod } /* * Diversity indices */ /** * Computes the Shannon-Wiener diversity index. * @return {@link com.antigenomics.vdjtools.diversity.DiversityEstimate} object handling the result. */ abstract DiversityIndex getShannonWienerIndex() /** * Computes the normalized Shannon-Wiener diversity index. * @return {@link com.antigenomics.vdjtools.diversity.DiversityEstimate} object handling the result. */ abstract DiversityIndex getNormalizedShannonWienerIndex() /** * Computes the Inverse Simpson diversity index. * @return {@link com.antigenomics.vdjtools.diversity.DiversityEstimate} object handling the result. */ abstract DiversityIndex getInverseSimpsonIndex() /** * Computes the diversity index DXX, where XX is a specified fraction. * The estimate equals to {@code 1 - n / N}, where {@code n} is the minimum number of clonotypes accounting * for at least XX% of the total reads and {@code N} is the total number of clonotypes in the sample. * @param fraction a fraction of reads at which the diversity estimate will be computed. * @return {@link com.antigenomics.vdjtools.diversity.DiversityEstimate} object handling the result. */ abstract DiversityIndex getDxxIndex(double fraction) /** * Computes diversity index that equals to one minus the minimum fraction of clonotypes accounting * for at least 50% of the total reads. * @return {@link com.antigenomics.vdjtools.diversity.DiversityEstimate} object handling the result. * @see com.antigenomics.vdjtools.diversity.DiversityEstimator#getDxxIndex */ DiversityEstimate getD50Index() { getDxxIndex(0.5) } /* * Richness estimates */ /** * Computes the Efron-Thisted lower bound estimate of total diversity. * @param maxDepth max number of terms in Euler series to compute. * @param cvThreshold coefficient of variance threshold, after reaching it higher order terms will be ignored. * @return {@link com.antigenomics.vdjtools.diversity.DiversityEstimate} object handling the result. */ abstract SpeciesRichness getEfronThisted(int maxDepth, double cvThreshold) /** * Computes the Efron-Thisted lower bound estimate of total diversity. * @return {@link com.antigenomics.vdjtools.diversity.DiversityEstimate} object handling the result. */ SpeciesRichness getEfronThisted() { getEfronThisted(20, 0.05) } /** * Computes the Chao1 lower bound estimate of total diversity. * @return {@link com.antigenomics.vdjtools.diversity.DiversityEstimate} object handling the result. */ abstract SpeciesRichness getChao1() /** * Computes the extrapolated Chao diversity estimate. * @return {@link com.antigenomics.vdjtools.diversity.DiversityEstimate} object handling the result. */ abstract DiversityEstimate getChaoE() /** * Computes the observed diversity, i.e. the number of clonotypes in the sample. * @return {@link com.antigenomics.vdjtools.diversity.DiversityEstimate} object handling the result. */ abstract SpeciesRichness getObservedDiversity() /* * end estimates */ /** * Gets the underlying frequency table. * @return {@link com.antigenomics.vdjtools.diversity.DiversityEstimate} object handling the result. */ FrequencyTable getFrequencyTable() { frequencyTable } /** * Gets the computation method that is used in this estimator implementation. * @return estimation method (exact/resampling). */ EstimationMethod getEstimationMethod() { return estimationMethod } /** * List of fields that will be included in tabular output . */ static final String[] ESTIMATE_NAMES = ["observedDiversity", "chaoE", "efronThisted", "chao1", "d50Index", "shannonWienerIndex", "normalizedShannonWienerIndex", "inverseSimpsonIndex"] /** * Computes all the diversity estimates. * @return a map {@code [name -> value]} of computed diversity estimates. */ Map computeAll() { ESTIMATE_NAMES.collectEntries { [(it): this."$it"] } } /** * Header string, used for tabular output. */ static final String HEADER = ESTIMATE_NAMES.collect { [it + "_mean", it + "_std"] }.flatten().join("\t") /** * Plain text row for tabular output. */ @Override String toString() { ESTIMATE_NAMES.collect { this."$it" }.join("\t") } }vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/diversity/DiversityIndex.groovy000644 001750 001750 00000004040 13525023773 034531 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.diversity /** * A diversity index that accounts for both number of clonotypes and clonotype frequency evenness. */ class DiversityIndex extends DiversityEstimate { /** * Creates a structure holding diversity estimate summary. * @param mean expected value of a diversity estimate. * @param std standard deviation of a diversity estimate. * @param numberOfReads number of reads in the sample that was analyzed. */ DiversityIndex(double mean, double std, long numberOfReads) { super(mean, std, numberOfReads) } } src/main/groovy/com/antigenomics/vdjtools/diversity/ResamplingEstimator.groovy000644 001750 001750 00000020744 13525023773 035502 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.diversity import com.antigenomics.vdjtools.overlap.OverlapType import com.antigenomics.vdjtools.preprocess.DownSampler import com.antigenomics.vdjtools.sample.Sample import org.apache.commons.math3.stat.descriptive.DescriptiveStatistics /** * Class that computes richness estimates and diversity indices. * Re-sampling is used to calculate the mean and standard deviation for estimates. * In order to normalize diversity estimates between samples, they are down-sampled to the same size, * typically the size of the smallest sample. * All computations are performed via the {@link com.antigenomics.vdjtools.diversity.FrequencyTable} object. * Note that the clonotype is always computed based on certain {@link OverlapType}, * which tells how to collapse clonotypes, e.g. consider identical CDR3 nucleotide or amino acid sequences, etc. * Therefore in some cases the result will be different from one obtained using raw clonotype frequencies. * This will not happen in case {@link OverlapType#Strict} is used, * which is recommended for most purposes. */ class ResamplingEstimator extends DiversityEstimator { private final DiversityIndex d50Index, shannonWienerIndex, normalizedShannonWienerIndex, inverseSimpsonIndex private final SpeciesRichness observedDiversity, efronThisted, chao1 protected final int subSampleSize, resampleCount /** * Creates an instance of individual-based diversity estimates class computed using re-sampling. * All computations are performed within the constructor. * @param sample sample to be analyzed * @param intersectionType {@code IntersectionType} used to collapse sample during {@code FrequencyTable} computation * @param subSampleSize down-sampled sample size. Typically set to the size of smallest sample if several samples are to be compared */ ResamplingEstimator(Sample sample, OverlapType intersectionType, int subSampleSize) { this(sample, intersectionType, subSampleSize, 3) } /** * Creates an instance of individual-based diversity estimates class computed using re-sampling. * All computations are performed within the constructor. * @param sample sample to be analyzed * @param intersectionType {@code IntersectionType} used to collapse sample during {@code FrequencyTable} computation * @param subSampleSize down-sampled sample size. Typically set to the size of smallest sample if several samples are to be compared * @param resampleCount number of re-samples to be performed */ ResamplingEstimator(Sample sample, OverlapType intersectionType, int subSampleSize, int resampleCount) { super(null, EstimationMethod.Resampled) this.subSampleSize = subSampleSize this.resampleCount = resampleCount def downSampler = new DownSampler(sample) def observedDiversityStat = new DescriptiveStatistics(), efronThistedStat = new DescriptiveStatistics(), chao1Stat = new DescriptiveStatistics(), d50Index = new DescriptiveStatistics(), shannonWienerIndexStat = new DescriptiveStatistics(), normalizedShannonWienerIndexStat = new DescriptiveStatistics(), inverseSimpsonIndexStat = new DescriptiveStatistics() for (int i = 0; i < resampleCount; i++) { def subSample = downSampler.reSample(subSampleSize) def frequencyTable = new FrequencyTable(subSample, intersectionType) def diversityEstimates = ExactEstimator.basicDiversityEstimates(frequencyTable) observedDiversityStat.addValue(diversityEstimates.observedDiversity.mean) efronThistedStat.addValue(diversityEstimates.efronThisted.mean) chao1Stat.addValue(diversityEstimates.chao1.mean) d50Index.addValue(diversityEstimates.d50Index.mean) shannonWienerIndexStat.addValue(diversityEstimates.shannonWienerIndex.mean) normalizedShannonWienerIndexStat.addValue(diversityEstimates.normalizedShannonWienerIndex.mean) inverseSimpsonIndexStat.addValue(diversityEstimates.inverseSimpsonIndex.mean) } this.d50Index = new DiversityIndex( d50Index.mean, d50Index.standardDeviation, subSampleSize) this.shannonWienerIndex = new DiversityIndex( shannonWienerIndexStat.mean, shannonWienerIndexStat.standardDeviation, subSampleSize) this.normalizedShannonWienerIndex = new DiversityIndex( normalizedShannonWienerIndexStat.mean, normalizedShannonWienerIndexStat.standardDeviation, subSampleSize) this.inverseSimpsonIndex = new DiversityIndex( inverseSimpsonIndexStat.mean, inverseSimpsonIndexStat.standardDeviation, subSampleSize) this.efronThisted = new SpeciesRichness( efronThistedStat.mean, efronThistedStat.standardDeviation, subSampleSize, RichnessEstimateType.TotalDiversityLowerBoundEstimate) this.chao1 = new SpeciesRichness( chao1Stat.mean, chao1Stat.standardDeviation, subSampleSize, RichnessEstimateType.TotalDiversityLowerBoundEstimate) this.observedDiversity = new SpeciesRichness( observedDiversityStat.mean, observedDiversityStat.standardDeviation, subSampleSize, RichnessEstimateType.Observed) } /** * {@inheritDoc} */ @Override DiversityIndex getDxxIndex(double fraction) { throw new UnsupportedOperationException() } /** * {@inheritDoc} */ @Override DiversityIndex getD50Index() { d50Index } /** * {@inheritDoc} */ @Override DiversityIndex getShannonWienerIndex() { shannonWienerIndex } /** * {@inheritDoc} */ @Override DiversityIndex getNormalizedShannonWienerIndex() { normalizedShannonWienerIndex } /** * {@inheritDoc} */ @Override DiversityIndex getInverseSimpsonIndex() { inverseSimpsonIndex } /** * {@inheritDoc} */ @Override SpeciesRichness getObservedDiversity() { observedDiversity } /** * {@inheritDoc} */ @Override SpeciesRichness getEfronThisted(int maxDepth, double cvThreshold) { throw new UnsupportedOperationException() } /** * {@inheritDoc} */ @Override SpeciesRichness getEfronThisted() { efronThisted } /** * {@inheritDoc} */ @Override SpeciesRichness getChao1() { chao1 } /** * {@inheritDoc} */ @Override DiversityEstimate getChaoE() { DiversityEstimate.DUMMY } @Override FrequencyTable getFrequencyTable() { throw new UnsupportedOperationException() } } vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/diversity/QuantileStats.groovy000644 001750 001750 00000014127 13525023773 034367 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.diversity import com.antigenomics.vdjtools.ClonotypeWrapperContainer import com.antigenomics.vdjtools.misc.AtomicDouble import com.antigenomics.vdjtools.misc.AtomicDoubleArray /** * A class that computes summary statistics of repertoire clonality divided into several levels: * * 1. singletons (encountered once), doubletons (encountered twice) and high-order clonotypes - * those are base quantities to estimate the lower bound on total repertoire diversity. * * 2. cumulative frequency for several quantiles (e.g. top 25%, next 25%, ...) of high-order clonotypes * * 3. details for top N clonotypes. * */ class QuantileStats { private final int numberOfQuantiles private final AtomicDoubleArray quantileFreqs private final AtomicDouble highOrderFreq = new AtomicDouble(), doubletonFreq = new AtomicDouble(), singletonFreq = new AtomicDouble() /** * Summarizes quantile statistics for a given sample. * @param clonotypeContainer a set of clonotypes. * @param numberOfQuantiles number of quantiles for 2nd level of detalizaiton. */ QuantileStats(ClonotypeWrapperContainer clonotypeContainer, int numberOfQuantiles) { this.numberOfQuantiles = numberOfQuantiles this.quantileFreqs = new AtomicDoubleArray(numberOfQuantiles) if (!clonotypeContainer.isSorted()) throw new RuntimeException("Clonotype container should be sorted to be used as input for this statistic") update(clonotypeContainer) } /** * Summarizes quantile statisitcs for a given sample. * @param clonotypeContainer a set of clonotypes. */ QuantileStats(ClonotypeWrapperContainer clonotypeContainer) { this(clonotypeContainer, 5) } /** * Internal - adds more clonotyps to stats. */ private void update(ClonotypeWrapperContainer clonotypeContainer) { int n = clonotypeContainer.diversity, m = -1 for (int i = n - 1; i >= 0; i--) { def clonotype = clonotypeContainer[i] def count = clonotype.getCount(), freq = clonotype.getFreq() boolean highOrderFlag = false switch (count) { case 1: singletonFreq.addAndGet(freq) break case 2: doubletonFreq.addAndGet(freq) break default: highOrderFlag = true break } if (highOrderFlag) { m = i break } } for (int i = 0; i <= m; i++) { int q = (i * numberOfQuantiles) / (m + 1) def clonotype = clonotypeContainer[i] def freq = clonotype.getFreq() highOrderFreq.addAndGet(freq) quantileFreqs.addAndGet(q, freq) } } /** * Gets the number of 2nd level summary quantiles. * @return number of 2nd level quantiles. */ int getNumberOfQuantiles() { return numberOfQuantiles } /** * Gets frequency for a given quantile. * @param quantile quantile index, should be less than {@link #numberOfQuantiles} and greater or equal than {@code 0}. * @return selected quantile frequency. * @throws IndexOutOfBoundsException wrong quantile index. */ double getQuantileFrequency(int quantile) { if (quantile < 0 || quantile >= numberOfQuantiles) throw new IndexOutOfBoundsException() quantileFreqs.get(quantile) } /** * Gets the frequency of singletons, i.e. clonotypes represented by a single read. * @return singleton frequency. */ double getSingletonFreq() { singletonFreq.get() } /** * Gets the frequency of doubletons, i.e. clonotypes represented by two reads. * @return doubleton frequency. */ double getDoubletonFreq() { doubletonFreq.get() } /** * Gets the frequency of high-order clonotypes, i.e. clonotypes represented by more than two reads. * @return high-order clonotype frequency. */ double getHighOrderFreq() { highOrderFreq.get() } /** * Header string, used for tabular output. */ static final String HEADER = "type\tname\tvalue" /** * Plain text row for tabular output. */ @Override String toString() { ["set\t3+\t$highOrderFreq", "set\t2\t$doubletonFreq", "set\t1\t$singletonFreq", (0.. sampleFileNames, Software software = Software.VDJtools, boolean store = true, boolean lazy = true, boolean strict = true, boolean sort = false ) { new SampleCollection(sampleFileNames, software, store, lazy, strict, sort) } static SampleCollection toCollection(List samples) { SampleCollection.fromSampleList(samples) } static Sample load(String fileName, Software software) { SampleStreamConnection.load(new FileInputStreamFactory(fileName), software) } static Sample filter(Sample sample, ClonotypeFilter... clonotypeFilter) { new Sample(sample, new CompositeClonotypeFilter(clonotypeFilter)) } static SampleCollection filter(SampleCollection sampleCollection, ClonotypeFilter... clonotypeFilter) { SampleCollection.fromSampleList( sampleCollection.collect { new Sample(it, new CompositeClonotypeFilter(clonotypeFilter)) } ) } } vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/annotate/000755 001750 001750 00000000000 13525023773 030101 5ustar00moellermoeller000000 000000 src/main/groovy/com/antigenomics/vdjtools/annotate/SegmentsToFamilies.groovy000644 001750 001750 00000005634 13525023773 035043 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311package com.antigenomics.vdjtools.annotate import com.antigenomics.vdjtools.io.SampleWriter import com.antigenomics.vdjtools.misc.CommonUtil import com.antigenomics.vdjtools.sample.Sample import com.antigenomics.vdjtools.sample.SampleCollection import com.antigenomics.vdjtools.sample.SegmentConverter def cli = new CliBuilder(usage: "SegmentsToFamilies [options] " + "[sample1 sample2 ... if not -m] output_prefix") cli.h("display help message") cli.m(longOpt: "metadata", argName: "filename", args: 1, "Metadata file. First and second columns should contain file name and sample id. " + "Header is mandatory and will be used to assign column names for metadata.") cli.s(longOpt: "species", argName: "name", args: 1, "Dataset species, 'human' or 'mouse'.", required: true) cli.c(longOpt: "compress", "Compress output sample files.") def opt = cli.parse(args) if (opt == null) { System.exit(2) } if (opt.h) { cli.usage() System.exit(2) } // Check if metadata is provided def metadataFileName = opt.m if (metadataFileName ? opt.arguments().size() != 1 : opt.arguments().size() < 2) { if (metadataFileName) println "Only output prefix should be provided in case of -m" else println "At least 1 sample files should be provided if not using -m" cli.usage() System.exit(2) } def outputFilePrefix = opt.arguments()[-1], species = (String) opt.s, compress = (boolean) opt.c if (!["human", "mouse"].any { it.equalsIgnoreCase(species) }) { println "Should specify either human or mouse as species." System.exit(2) } def scriptName = getClass().canonicalName.split("\\.")[-1] // // Batch load samples // println "[${new Date()} $scriptName] Reading samples" def sampleCollection = metadataFileName ? new SampleCollection((String) metadataFileName) : new SampleCollection(opt.arguments()[0..-2]) println "[${new Date()} $scriptName] ${sampleCollection.size()} samples prepared" // Load segment conversions def vSegmentMap = new HashMap(), jSegmentMap = new HashMap() CommonUtil.resourceStreamReader("vj_families.txt").splitEachLine("\t") { if (it[0].equalsIgnoreCase(species)) { if (it[2].equalsIgnoreCase("v")) { vSegmentMap.put(it[3], it[4]) } else { jSegmentMap.put(it[3], it[4]) } } } def converter = new SegmentConverter(vSegmentMap, jSegmentMap) // // Iterate over samples and change V segments // def sw = new SampleWriter(compress) sampleCollection.eachWithIndex { sample, ind -> def sampleId = sample.sampleMetadata.sampleId println "[${new Date()} $scriptName] Changing segments for $sampleId.." // print output sw.writeConventional(new Sample(sample, converter), outputFilePrefix) } sampleCollection.metadataTable.storeWithOutput(outputFilePrefix, compress, "segm2fam") println "[${new Date()} $scriptName] Finished" src/main/groovy/com/antigenomics/vdjtools/annotate/KnownCdr3Regions.groovy000644 001750 001750 00000006102 13525023773 034427 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.annotate import com.antigenomics.vdjtools.annotate.partitioning.Cdr3Center import com.antigenomics.vdjtools.annotate.partitioning.Cdr3Region import com.antigenomics.vdjtools.annotate.partitioning.DGermline import com.antigenomics.vdjtools.annotate.partitioning.DJJunction import com.antigenomics.vdjtools.annotate.partitioning.FullCdr3 import com.antigenomics.vdjtools.annotate.partitioning.JGermline import com.antigenomics.vdjtools.annotate.partitioning.VDJunction import com.antigenomics.vdjtools.annotate.partitioning.VGermline import com.antigenomics.vdjtools.annotate.partitioning.VJJunction class KnownCdr3Regions { private final Map regionsByName static final KnownCdr3Regions INSTANCE = new KnownCdr3Regions() private KnownCdr3Regions() { this.regionsByName = [new VGermline(), new DGermline(), new JGermline(), new VDJunction(), new DJJunction(), new VJJunction(), new FullCdr3(), Cdr3Center.CDR3_CENTER_5, Cdr3Center.CDR3_CENTER_3].collectEntries { [(it.name.toLowerCase()): it] } } Cdr3Region getByName(String name) { name = name.toLowerCase() if (!regionsByName.containsKey(name)) throw new IllegalArgumentException("Bad CDR3 region name '$name', allowed values: ${allowedNames}") regionsByName[name] } List getAllowedNames() { regionsByName.keySet().collect() } List getAll() { regionsByName.values().collect() } } src/main/groovy/com/antigenomics/vdjtools/annotate/AaPropertyAnnotator.groovy000644 001750 001750 00000004544 13525023773 035254 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.annotate import com.antigenomics.vdjtools.annotate.partitioning.FullCdr3 import com.antigenomics.vdjtools.sample.Clonotype class AAPropertyAnnotator implements ClonotypeAnnotator { static final String NORMALIZED_SUFFIX = ".avg" private final name private final AaPropertySummaryEvaluator propertyCalculator AAPropertyAnnotator(String name, boolean normalized) { this.propertyCalculator = new AaPropertySummaryEvaluator(KnownAminoAcidProperties.INSTANCE.getByName(name), new FullCdr3(), normalized, false) this.name = normalized ? (name + NORMALIZED_SUFFIX) : name } @Override String getName() { name } @Override String getCategory() { "aaprop" } @Override String annotate(Clonotype clonotype) { clonotype.coding ? (propertyCalculator.compute(clonotype)) : "" } } vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/annotate/BaseAnnotator.groovy000644 001750 001750 00000003670 13525023773 034116 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.annotate import com.antigenomics.vdjtools.sample.Clonotype class BaseAnnotator implements ClonotypeAnnotator { final String name private final String paramName BaseAnnotator(String paramName) { this.name = paramName.toLowerCase() this.paramName = paramName } @Override String getCategory() { "base" } @Override String annotate(Clonotype clonotype) { clonotype."$paramName" } } src/main/groovy/com/antigenomics/vdjtools/annotate/ClonotypeAnnotator.groovy000644 001750 001750 00000003250 13525023773 035133 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.annotate import com.antigenomics.vdjtools.sample.Clonotype interface ClonotypeAnnotator { String getName() String getCategory() String annotate(Clonotype clonotype) }src/main/groovy/com/antigenomics/vdjtools/annotate/KnownAminoAcidProperties.groovy000644 001750 001750 00000011620 13525023773 036207 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.annotate import com.antigenomics.vdjtools.misc.CommonUtil import com.milaboratory.core.sequence.AminoAcidAlphabet import com.milaboratory.core.sequence.AminoAcidSequence class KnownAminoAcidProperties { private final Map aminoAcidPropertiesByName = new HashMap<>() public static final KnownAminoAcidProperties INSTANCE = new KnownAminoAcidProperties() private KnownAminoAcidProperties() { // first load simple ones def lines = CommonUtil.resourceStream("profile/aa_property_table.txt").readLines().findAll { !it.startsWith("#") } def header = lines[0].split("[\t ]+") if (header[0] != "amino_acid") { throw new RuntimeException("Simple amino acid property file header should start with 'amino_acid'.") } def propertyNames = header[1..-1] int n = AminoAcidSequence.ALPHABET.size() def propertyValues = new float[propertyNames.size()][n] lines[1..-1].each { line -> def splitLine = line.split("[\t ]+") byte aa = AminoAcidSequence.ALPHABET.symbolToCode(splitLine[0].charAt(0)) splitLine[1..-1].eachWithIndex { String it, int ind -> propertyValues[ind][aa] = it.toFloat() } } propertyNames.eachWithIndex { String name, int ind -> name = name.toLowerCase() aminoAcidPropertiesByName.put(name, new SimpleAaProperty(name, propertyValues[ind])) } // load contact model loadContactProbs() } private void loadContactProbs() { def lines = CommonUtil.resourceStream("profile/cdr3contact.txt").readLines().collect { it.split("[ \t]") } def header = lines[0] def tcrChainColumn = header.findIndexOf { it == "tcr_chain" }, posRelTcrColumn = header.findIndexOf { it == "pos_rel_tcr" }, aaTcrColumn = header.findIndexOf { it == "aa_tcr" }, pColumn = header.findIndexOf { it == "P" }, posMaxColumn = header.findIndexOf { it == "pos_max" } int r = AminoAcidSequence.ALPHABET.size(), c = lines[1][posMaxColumn].toInteger() float[][] tcrAContactProbs = new float[r][c], tcrBContactProbs = new float[r][c] lines[1.. getAllowedNames() { aminoAcidPropertiesByName.keySet().collect() } List getAll() { aminoAcidPropertiesByName.values().collect() } }vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/annotate/CalcCdrAaStats.groovy000644 001750 001750 00000017037 13525023773 034134 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.annotate import com.antigenomics.vdjtools.sample.Sample import com.antigenomics.vdjtools.sample.SampleCollection import com.antigenomics.vdjtools.sample.metadata.MetadataTable import static com.antigenomics.vdjtools.misc.ExecUtil.formOutputPath def DEFAULT_AA_PROPERTIES = ["hydropathy", "charge", "polarity", "strength", "mjenergy", "count"].join(","), ALLOWED_AA_PROPERTIES = KnownAminoAcidProperties.INSTANCE.allowedNames.join(","), DEFAULT_REGIONS = ["CDR3-full", "VJ-junc", "V-germ", "J-germ", "CDR3-center-5"].join(","), ALLOWED_REGIONS = KnownCdr3Regions.INSTANCE.allowedNames.join(",") def cli = new CliBuilder(usage: "CalcCdrAaStats [options] " + "[sample1 sample2 sample3 ... if -m is not specified] output_prefix") cli.h("display help message") cli.m(longOpt: "metadata", argName: "filename", args: 1, "Metadata file. First and second columns should contain file name and sample id. " + "Header is mandatory and will be used to assign column names for metadata.") cli.w(longOpt: "weighted", "Weight all statistics by clonotype frequency.") cli.n(longOpt: "normalize", "Normalize property value by dividing them by corresponding CDR3 region length.") cli.a(longOpt: "aa-properties", argName: "property1,...", args: 1, "Comma-separated list of amino-acid properties to summarize. " + "Allowed values: $ALLOWED_AA_PROPERTIES. " + "[default = $DEFAULT_AA_PROPERTIES]") cli.r(longOpt: "region-list", argName: "region1,...", args: 1, "List of CDR3 regions to analyze. " + "Allowed segments: $ALLOWED_REGIONS. " + "[default = $DEFAULT_REGIONS]") /*cli.p(longOpt: "plot", "Plot amino acid property distributions for a specified list of segments.") cli.f(longOpt: "factor", argName: "string", args: 1, "Metadata entry used to group samples in plot.") cli._(longOpt: "plot-normalized", "Will normalize regions by the total number of AAs in them.") cli._(longOpt: "plot-type", argName: "pdf|png", args: 1, "Plot output format [default=pdf]") cli._(longOpt: "include-cfw", "Consider first and last AAs of CDR3, which are normally conserved C and F/W")*/ def opt = cli.parse(args) if (opt == null) System.exit(2) if (opt.h || opt.arguments().size() == 0) { cli.usage() System.exit(2) } // Check if metadata is provided def metadataFileName = opt.m if (metadataFileName ? opt.arguments().size() != 1 : opt.arguments().size() < 2) { if (metadataFileName) println "Only output prefix should be provided in case of -m" else println "At least 1 sample files should be provided if not using -m" cli.usage() System.exit(2) } // Remaining arguments def outputFilePrefix = opt.arguments()[-1], normalize = (boolean) opt.n, weighted = (boolean) opt.w, regionNames = (opt.r ?: DEFAULT_REGIONS).split(",").collect { it.toLowerCase() }, propertyNames = (opt.a ?: DEFAULT_AA_PROPERTIES).split(",").collect { it.toLowerCase() } /*plot = (boolean) opt.p, plotType = (opt.'plot-type' ?: "pdf").toString(), includeCFW = (boolean) opt.'include-cfw'*/ def badRegionNames = regionNames.findAll { !KnownCdr3Regions.INSTANCE.allowedNames.contains(it) } if (badRegionNames.size() > 0) { println "[ERROR] Unknown amino acid properties: ${badRegionNames.join(",")}. " + "Allowed values are $ALLOWED_REGIONS" System.exit(2) } def badProperties = propertyNames.findAll { !KnownAminoAcidProperties.INSTANCE.allowedNames.contains(it) } if (badProperties.size() > 0) { println "[ERROR] Unknown amino acid properties: ${badProperties.join(",")}. " + "Allowed values are $DEFAULT_AA_PROPERTIES" System.exit(2) } def scriptName = getClass().canonicalName.split("\\.")[-1] // // Batch load all samples (lazy) // println "[${new Date()} $scriptName] Reading sample(s)" def sampleCollection = metadataFileName ? new SampleCollection((String) metadataFileName) : new SampleCollection(opt.arguments()[0..-2]) println "[${new Date()} $scriptName] ${sampleCollection.size()} sample(s) prepared" // // Prepare summary calculators // def summarizerMap = new HashMap() regionNames.each { regionName -> propertyNames.each { propertyName -> try { summarizerMap.put(regionName + "\t" + propertyName, new AaPropertySummaryEvaluator(KnownAminoAcidProperties.INSTANCE.getByName(propertyName), KnownCdr3Regions.INSTANCE.getByName(regionName), normalize, weighted)) } catch (IllegalArgumentException e) { // do nothing - incompatible region <> property pair } } } // // Compute and write summary for each region<>property pair and each sample // def outputFileName = formOutputPath(outputFilePrefix, "cdr3aa", "stat", (weighted ? "wt" : "unwt"), (normalize ? "norm" : "unnorm")) new File(outputFileName).withPrintWriter { pw -> def header = "$MetadataTable.SAMPLE_ID_COLUMN\t" + sampleCollection.metadataTable.columnHeader + "\t" + "region\tproperty\tmean\tq25\tmedian\tq75" pw.println(header) def sampleCounter = 0 sampleCollection.each { Sample sample -> println "[${new Date()} $scriptName] Running $sample.sampleMetadata.sampleId" summarizerMap.each { println "[${new Date()} $scriptName] Summarizing for $it.key" def summary = it.value.compute(sample) pw.println([sample.sampleMetadata.sampleId, sample.sampleMetadata, it.key, summary.mean, summary.q25, summary.median, summary.q75].join("\t")) } println "[${new Date()} $scriptName] ${++sampleCounter} sample(s) processed" } } /* if (plot) { RUtil.execute("cdr3aa_profile.r", outputFileName, toPlotPath(outputFileName, plotType), opt.f ? (sampleCollection.metadataTable.getColumnIndex(opt.f) + 2).toString() : "0", RUtil.logical(opt.'plot-normalized') ) } */ println "[${new Date()} $scriptName] Finished"src/main/groovy/com/antigenomics/vdjtools/annotate/DegreeStatisticsAnnotator.groovy000644 001750 001750 00000006014 13525023773 036426 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311package com.antigenomics.vdjtools.annotate import com.antigenomics.vdjtools.graph.DegreeStatistics import com.antigenomics.vdjtools.graph.DegreeStatisticsCalculator import com.antigenomics.vdjtools.misc.ExecUtil import com.antigenomics.vdjtools.misc.StatUtil import com.antigenomics.vdjtools.sample.Clonotype import com.antigenomics.vdjtools.sample.Sample import groovyx.gpars.GParsPool class DegreeStatisticsAnnotator { final DegreeStatisticsCalculator sampleStatistics, controlStatistics static final String HEADER = "degree.s\tgroup.count.s\tgroup2.count.s\t" + "degree.c\tgroup.count.c\tgroup2.count.c\t" + "p.value.g\tp.value.g2" DegreeStatisticsAnnotator(DegreeStatisticsCalculator sampleStatistics, DegreeStatisticsCalculator controlStatistics) { this.sampleStatistics = sampleStatistics this.controlStatistics = controlStatistics } void annotate(Sample sample) { if (sample.annotationHeader) { sample.annotationHeader += "\t" + HEADER // todo: FIX THREAD COUNT as parameter (?) GParsPool.withPool ExecUtil.THREADS, { sample.eachParallel { Clonotype clonotype -> def s = sampleStatistics.compute(clonotype), b = controlStatistics.compute(clonotype) clonotype.annotation += "\t" + s + "\t" + b + "\t" + computePValue(s, b) + "\t" + computePValue2(s, b) } } } else { sample.annotationHeader = HEADER GParsPool.withPool ExecUtil.THREADS, { sample.eachParallel { Clonotype clonotype -> def s = sampleStatistics.compute(clonotype), b = controlStatistics.compute(clonotype) clonotype.annotation = s.toString() + "\t" + b + "\t" + computePValue(s, b) + "\t" + computePValue2(s, b) } } } } static double computePValue(DegreeStatistics sample, DegreeStatistics background) { if (sample == DegreeStatistics.UNDEF || background == DegreeStatistics.UNDEF) return 1.0 double p = (background.degree + 1.0d) / (background.primaryGroupCount + 1.0d) StatUtil.binomialPValue(sample.degree, (double) sample.primaryGroupCount, p) / (1.0 - Math.pow(1.0 - p, sample.primaryGroupCount)) // Normalize for conditioning on observing a variant } static double computePValue2(DegreeStatistics sample, DegreeStatistics background) { if (sample == DegreeStatistics.UNDEF || background == DegreeStatistics.UNDEF) return 1.0 double lambda = (sample.secondaryGroupCount + 1.0d) * (background.degree + 1.0d) / (background.secondaryGroupCount + 1.0d) StatUtil.poissonPValue(sample.degree, lambda) / (1.0 - Math.exp(-lambda)) // Normalize for conditioning on observing a variant } } vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/annotate/KnownAnnotators.groovy000644 001750 001750 00000005232 13525023773 034517 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.annotate class KnownAnnotators { private final Map annotatorsByName = new HashMap<>() public static final KnownAnnotators INSTANCE = new KnownAnnotators() private KnownAnnotators() { ["cdr3Length", "NDNSize", "insertSize", "VDIns", "DJIns"].each { annotatorsByName.put(it.toLowerCase(), new BaseAnnotator(it)) } KnownAminoAcidProperties.INSTANCE.allowedNames.each { def annotator = new AAPropertyAnnotator(it, true) annotatorsByName.put(annotator.name.toLowerCase(), annotator) annotator = new AAPropertyAnnotator(it, false) annotatorsByName.put(annotator.name.toLowerCase(), annotator) } } ClonotypeAnnotator getByName(String name) { name = name.toLowerCase() if (!annotatorsByName.containsKey(name)) throw new IllegalArgumentException("Bad annotator name '$name', allowed values: ${allowedNames}") annotatorsByName[name] } List getAllowedNames() { annotatorsByName.keySet().collect() } List getAll() { annotatorsByName.values().collect() } } vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/annotate/CalcDegreeStats.groovy000644 001750 001750 00000017065 13525023773 034356 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.annotate import com.antigenomics.vdjtools.graph.DegreeStatisticsCalculator import com.antigenomics.vdjtools.graph.DummyClonotypeGroupingFactory import com.antigenomics.vdjtools.graph.VClonotypeGroupingFactory import com.antigenomics.vdjtools.graph.VJClonotypeGroupingFactory import com.antigenomics.vdjtools.graph.VJLClonotypeGroupingFactory import com.antigenomics.vdjtools.io.SampleFileConnection import com.antigenomics.vdjtools.io.SampleWriter import com.antigenomics.vdjtools.overlap.OverlapType import com.antigenomics.vdjtools.pool.PooledSample import com.antigenomics.vdjtools.pool.SampleAggregator import com.antigenomics.vdjtools.pool.StoringClonotypeAggregatorFactory import com.antigenomics.vdjtools.sample.SampleCollection def DEFAULT_SEARCH_SCOPE = "1,0,1" def cli = new CliBuilder(usage: "CalcDegreeStats [options] " + "[sample1 sample2 ... if not -m] output_prefix") cli.h("display help message") cli.m(longOpt: "metadata", argName: "filename", args: 1, "Metadata file. First and second columns should contain file name and sample id. " + "Header is mandatory and will be used to assign column names for metadata.") cli.b(longOpt: "background", argName: "filename", args: 1, "Background (control) sample file to compute random graph statistics. In case not provided," + "will pool input samples and use them as control.") cli.o(longOpt: "search-scope", argName: "s,id,t", args: 1, "Search scope: number of substitutions (s), indels (id) and total number of mismatches (t) allowed. " + "Default is $DEFAULT_SEARCH_SCOPE") cli.g(longOpt: "grouping", argName: "type", args: 1, "Primary grouping type, limits the scope of possible clonotype comparisons when computing clonotype degree. " + "Group counts are used in primary statistical test (p.value in output)." + "Allowed values: 'dummy' (no grouping, default), " + "'v' (same V), 'vj' (same V and J) and 'vjl' (same V, J and CDR3 length).") cli.g2(longOpt: "grouping2", argName: "type", args: 1, "Secondary grouping type, doesn't limit possible clonotype comparisons. " + "Group counts are used in secondary statistical test (p.value.2 in output). " + "Allowed values: 'dummy', 'v', 'vj' and 'vjl'. " + "By default will select 'vjl' if no indels are allowed and " + "'vj' otherwise.") cli.c(longOpt: "compress", "Compress output sample files.") def opt = cli.parse(args) if (opt == null) { System.exit(2) } if (opt.h) { cli.usage() System.exit(2) } // Check if metadata is provided def metadataFileName = opt.m if (metadataFileName ? opt.arguments().size() != 1 : opt.arguments().size() < 2) { if (metadataFileName) println "Only output prefix should be provided in case of -m" else println "At least 1 sample files should be provided if not using -m" cli.usage() System.exit(2) } // General options def outputFilePrefix = opt.arguments()[-1], backgroundSample = opt.b, compress = (boolean) opt.c, optSearchScope = (opt.o ?: DEFAULT_SEARCH_SCOPE).split(",") // Search scope if (optSearchScope.length != 3 || optSearchScope.any { !it.isInteger() || it.toInteger() < 0 }) { println "[ERROR] Bad search scope $optSearchScope" System.exit(2) } def searchScope = optSearchScope.collect { it.toInteger() } as int[] // Grouping def grouping = (opt.g ?: "dummy").toLowerCase(), grouping2 = (opt.g2 ?: (searchScope[1] == 0 ? "vjl" : "vj")).toLowerCase() def getGroupingFactory = { name -> switch (name) { case "vjl": return new VJLClonotypeGroupingFactory() case "vj": return new VJClonotypeGroupingFactory() case "v": return new VClonotypeGroupingFactory() default: return DummyClonotypeGroupingFactory.INSTANCE } } def groupingFactory = getGroupingFactory(grouping), groupingFactory2 = getGroupingFactory(grouping2) def scriptName = getClass().canonicalName.split("\\.")[-1] // Prepare samples println "[${new Date()} $scriptName] Reading samples" def sampleCollection = metadataFileName ? new SampleCollection((String) metadataFileName) : // todo: if no control, perhaps store samples? new SampleCollection(opt.arguments()[0..-2]) println "[${new Date()} $scriptName] ${sampleCollection.size()} samples prepared" // Compute control degree statistics def bgDegreeStatCalc = new DegreeStatisticsCalculator(searchScope[0], searchScope[1], searchScope[2], groupingFactory, groupingFactory2) if (backgroundSample) { // Load control sample println "[${new Date()} $scriptName] Loading control sample" bgDegreeStatCalc.inititalize(SampleFileConnection.load((String) backgroundSample)) } else { // Create control by aggregating all samples on the fly println "[${new Date()} $scriptName] No control sample provided. Creating pooled sample to be used as control" def sampleAggr = new SampleAggregator(sampleCollection, new StoringClonotypeAggregatorFactory(), OverlapType.Strict) bgDegreeStatCalc.inititalize(new PooledSample(sampleAggr)) } // Compute degree statistics and write output def sw = new SampleWriter(compress) sampleCollection.eachWithIndex { sample, ind -> def sampleId = sample.sampleMetadata.sampleId println "[${new Date()} $scriptName] Computing degree statistics for $sampleId.." // Initialize sample degree statistics def sampleDegreeStatCalc = new DegreeStatisticsCalculator(searchScope[0], searchScope[1], searchScope[2], groupingFactory, groupingFactory2) sampleDegreeStatCalc.inititalize(sample) // Create annotator and annotate sample with both background and observed degree statistics def annotator = new DegreeStatisticsAnnotator(sampleDegreeStatCalc, bgDegreeStatCalc) annotator.annotate(sample) // print output sw.writeConventional(sample, outputFilePrefix) } sampleCollection.metadataTable.storeWithOutput(outputFilePrefix, compress, "degstat") println "[${new Date()} $scriptName] Finished"vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/annotate/SampleAnnotator.groovy000644 001750 001750 00000005207 13525023773 034463 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.annotate import com.antigenomics.vdjtools.misc.ExecUtil import com.antigenomics.vdjtools.sample.Clonotype import com.antigenomics.vdjtools.sample.Sample import groovyx.gpars.GParsPool class SampleAnnotator { final List annotators SampleAnnotator(List annotators) { this.annotators = annotators } void annotate(Sample sample) { if (sample.annotationHeader) { sample.annotationHeader += "\t" + annotators.collect { it.category + "." + it.name }.join("\t") GParsPool.withPool ExecUtil.THREADS, { sample.eachParallel { Clonotype clonotype -> clonotype.annotation += "\t" + annotators.collect { it.annotate(clonotype) }.join("\t") } } } else { sample.annotationHeader = annotators.collect { it.category + "." + it.name }.join("\t") GParsPool.withPool ExecUtil.THREADS, { sample.eachParallel { Clonotype clonotype -> clonotype.annotation = annotators.collect { it.annotate(clonotype) }.join("\t") } } } } } vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/annotate/Annotate.groovy000644 001750 001750 00000011423 13525023773 033122 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.annotate import com.antigenomics.vdjtools.io.SampleWriter import com.antigenomics.vdjtools.sample.SampleCollection def DEFAULT_ANNOTATORS = ["cdr3length", "ndnsize", "insertsize", "hydropathy", "charge", "polarity", "strength", "cdr3contact"].join(","), ALLOWED_ANNOTATORS = KnownAnnotators.INSTANCE.allowedNames.join(",") def cli = new CliBuilder(usage: "Annotate [options] " + "[sample1 sample2 ... if not -m] output_prefix") cli.h("display help message") cli.m(longOpt: "metadata", argName: "filename", args: 1, "Metadata file. First and second columns should contain file name and sample id. " + "Header is mandatory and will be used to assign column names for metadata.") cli.a(longOpt: "annotators", argName: "param1,param2,...", args: 1, "Comma-separated list annotator names. The can contain basic annotators (e.g. CDR3 insert size) and " + "annotators computing sum of CDR3 amino acid property values. " + "Amino acid annotator will report average property values for each CDR3 (divide them by " + "CDR3 length) if suffix '${AAPropertyAnnotator.NORMALIZED_SUFFIX}' is appended to its name. " + "Allowed values: $ALLOWED_ANNOTATORS. " + "[default=$DEFAULT_ANNOTATORS]") cli.c(longOpt: "compress", "Compress output sample files.") def opt = cli.parse(args) if (opt == null) { System.exit(2) } if (opt.h) { cli.usage() System.exit(2) } // Check if metadata is provided def metadataFileName = opt.m if (metadataFileName ? opt.arguments().size() != 1 : opt.arguments().size() < 2) { if (metadataFileName) println "Only output prefix should be provided in case of -m" else println "At least 1 sample files should be provided if not using -m" cli.usage() System.exit(2) } def outputFilePrefix = opt.arguments()[-1], annotatorNames = (opt.a ?: DEFAULT_ANNOTATORS).split(",").collect { it.toLowerCase() }, compress = (boolean) opt.c def scriptName = getClass().canonicalName.split("\\.")[-1] def badAnnotatorNames = annotatorNames.findAll { !KnownAnnotators.INSTANCE.allowedNames.contains(it) } if (!badAnnotatorNames.empty) { println "The following annotator names are invalid: $badAnnotatorNames. Allowed values: $ALLOWED_ANNOTATORS." System.exit(2) } // // Batch load samples // println "[${new Date()} $scriptName] Reading samples" def sampleCollection = metadataFileName ? new SampleCollection((String) metadataFileName) : new SampleCollection(opt.arguments()[0..-2]) println "[${new Date()} $scriptName] ${sampleCollection.size()} samples prepared" // // Create annotators // def sampleAnnotator = new SampleAnnotator(annotatorNames.collect { KnownAnnotators.INSTANCE.getByName(it) }) // // Iterate over samples and annotate // def sw = new SampleWriter(compress) sampleCollection.eachWithIndex { sample, ind -> def sampleId = sample.sampleMetadata.sampleId println "[${new Date()} $scriptName] Annotating $sampleId.." sampleAnnotator.annotate(sample) // print output sw.writeConventional(sample, outputFilePrefix) } sampleCollection.metadataTable.storeWithOutput(outputFilePrefix, compress, "annot:${annotatorNames.join(",")}") println "[${new Date()} $scriptName] Finished" vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/sample/000755 001750 001750 00000000000 13525023773 027551 5ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/sample/SamplePair.groovy000644 001750 001750 00000010466 13525023773 033064 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.sample import com.antigenomics.vdjtools.io.DummySampleConnection import com.antigenomics.vdjtools.io.SampleConnection /** * A class representing a tuple of samples */ public class SamplePair { private final SampleConnection sample1conn, sample2conn private int i, j public SamplePair(SampleConnection sample1conn, SampleConnection sample2conn, int i, int j) { this.sample1conn = sample1conn this.sample2conn = sample2conn this.i = i this.j = j } /** * Creates a sample pair holding references to both samples and their indices in parent collection * @param sample1 first sample * @param sample2 second sample * @param i index of the first sample in sample collection * @param j index of the second sample in sample collection */ public SamplePair(Sample sample1, Sample sample2, int i, int j) { this(new DummySampleConnection(sample1), new DummySampleConnection(sample2), i, j) } /** * Creates a sample pair holding references to both samples * @param sample1conn an object that can be used to load the first sample * @param sample2conn an object that can be used to load the second sample */ public SamplePair(SampleConnection sample1conn, SampleConnection sample2conn) { this(sample1conn, sample2conn, 0, 1) } /** * Creates a sample pair holding references to both samples * @param sample1 first sample * @param sample2 second sample */ public SamplePair(Sample sample1, Sample sample2) { this(sample1, sample2, 0, 1) } /** * Swaps samples * @return a sample pair with samples being swapped */ public SamplePair getReverse() { new SamplePair(sample2conn, sample1conn, j, i) } /** * Gets the index of first sample * @return index of first sample */ public int getI() { i } /** * Gets the index of second sample * @return index of second sample */ public int getJ() { j } /** * Gets the first sample * @return first sample */ public Sample getFirst() { sample1conn.sample } /** * Gets the second sample * @return second sample */ public Sample getSecond() { sample2conn.sample } /** * Gets the sample that corresponds to a given index * @param index index of sample, {@code 0} or {@code 1} * @return sample specified by given index */ public Sample getAt(int index) { switch (index) { case 0: return sample1conn.sample case 1: return sample2conn.sample } throw new IndexOutOfBoundsException() } @Override public String toString() { "SamplePair{${sample1conn},${sample2conn}}" } } vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/sample/SampleCollection.groovy000644 001750 001750 00000034524 13525023773 034265 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.sample import com.antigenomics.vdjtools.misc.Software import com.antigenomics.vdjtools.io.DummySampleConnection import com.antigenomics.vdjtools.io.SampleConnection import com.antigenomics.vdjtools.io.SampleFileConnection import com.antigenomics.vdjtools.sample.metadata.BlankMetadataEntryFilter import com.antigenomics.vdjtools.sample.metadata.MetadataEntryFilter import com.antigenomics.vdjtools.sample.metadata.MetadataTable import com.antigenomics.vdjtools.sample.metadata.MetadataUtil import com.antigenomics.vdjtools.misc.ExecUtil import groovy.transform.CompileStatic /** * Base class used in VDJtools to store and handle collections of samples. * Implements methods for loading clonotype tables and sample information (metadata). * Note that all samples in within the same sample collection should have the same {@code Software} type. */ class SampleCollection implements Iterable { final Map sampleMap = new HashMap<>() private final Software software private final boolean strict, lazy, store private final MetadataTable metadataTable /** * Gets a metadata table that allows querying and ordering of samples in this collection. * @return metadata table. */ public MetadataTable getMetadataTable() { metadataTable } protected SampleCollection(Software software, boolean strict, boolean lazy, boolean store, MetadataTable metadataTable) { this.software = software this.strict = strict this.lazy = lazy this.store = store this.metadataTable = metadataTable } /** * Selects a subset of samples from this sample collection on a specified rule. * This method creates a deep copy of sample collection. * @param entryFilter sample metadata filtering rule. * @param sampleIds sample IDs to keep. * @return a copy of sample collection containing selected samples only. */ @CompileStatic public SampleCollection select(MetadataEntryFilter metadataEntryFilter = BlankMetadataEntryFilter.INSTANCE, Set sampleIds = metadataTable.sampleIds) { def metadataTable = metadataTable.select(metadataEntryFilter, sampleIds) def sampleCollection = new SampleCollection(software, strict, lazy, store, metadataTable) sampleMap.each { def sampleMetadata = metadataTable.getRow(it.key) if (sampleMetadata) { def sampleConnection = it.value if (sampleConnection instanceof DummySampleConnection) { // sample is already loaded - need to reassign sample metadata sampleConnection = new DummySampleConnection( new Sample(sampleConnection.getSample(), sampleMetadata) ) } sampleCollection.sampleMap.put(it.key, sampleConnection) } } sampleCollection } /** * Builds a sample collection from a pre-defined list of samples. * Samples should belong to the same metadata table, sample order will be preserved. * @param samples list of samples. */ public static SampleCollection fromSampleList(List samples) { def originalMetadata = samples[0].sampleMetadata.parent, // create new metadata table metadataTable = new MetadataTable(samples[0].sampleMetadata.parent.columnIterator.collect().toList()) def sampleCollection = new SampleCollection(Software.VDJtools, true, false, true, metadataTable) samples.each { def sampleMetadata = it.sampleMetadata if (sampleMetadata.parent != originalMetadata) throw new Exception("Only samples coming from same metadata table are allowed") // Store sample source def sampleId = sampleMetadata.sampleId sampleCollection.sampleMap.put(sampleId, new DummySampleConnection(it)) // Clone sample metadata to a new metadata table metadataTable.addSample(sampleMetadata) } sampleCollection } /** * Builds a sample collection from a pre-defined list of sample file names. * Samples will be assigned to generic metadata table, sample order will be preserved. * @param sampleFileNames list of sample file names * @param store if set to true, all loaded samples will be stored in memory (only has effect if lazy is set to true) * @param lazy if set to true, all samples will be immediately loaded, otherwise samples will be loaded by request * @param strict if set to false, will ignore samples with missing files, otherwise will throw an exception in such case * @param sort not sort sample metadata by sample id */ public SampleCollection(List sampleFileNames, Software software = Software.VDJtools, boolean store = false, boolean lazy = true, boolean strict = true, boolean sort = false) { this.software = software this.strict = strict this.lazy = lazy this.store = store this.metadataTable = new MetadataTable() sampleFileNames.each { String fileName -> if (new File(fileName).exists()) { def sampleId = MetadataUtil.fileName2id(fileName) def sampleMetadata = metadataTable.createRow(sampleId) sampleMap.put(sampleId, new SampleFileConnection(fileName, software, sampleMetadata, lazy, store)) } else if (strict) { throw new FileNotFoundException("Missing sample file $fileName") } else { println "[${new Date()} SampleCollection] WARNING: File $fileName not found, skipping" } } if (sort) metadataTable.sort() } /** * Loads a sample collection using custom metadata file. * File should contain two columns: first with file path and second with sample id. * Additional columns will be stored as metadata entries. * First line of file should contain header that includes metadata field names. * Samples will be ordered as they appear in file. * @param sampleMetadataFileName metadata file path. * @param software software used to get processed samples. * @param store if set to true, all loaded samples will be stored in memory (only has effect if lazy is set to true). * @param lazy if set to true, all samples will be immediately loaded, otherwise samples will be loaded by request. * @param strict if set to false, will ignore samples with missing files, otherwise will throw an exception in such case. * @param sort whether to sort sample metadata by sample id. */ public SampleCollection(String sampleMetadataFileName, Software software = Software.VDJtools, boolean store = false, boolean lazy = true, boolean strict = true, boolean sort = false) { this.software = software this.store = store this.lazy = lazy this.strict = strict MetadataTable metadataTable = null new File(sampleMetadataFileName).withReader { reader -> def headerLine = reader.readLine() //if (!headerLine.startsWith("#")) { // throw new Exception("Metadata header should be marked with hash prefix (#)") //} def metadataColumns = headerLine.split("\t") metadataTable = new MetadataTable(metadataColumns.size() > 2 ? metadataColumns[2..-1] : []) def line, splitLine while ((line = reader.readLine()) != null) { if (!line.startsWith("#") && line.trim().length() != 0) { splitLine = line.split("\t") if (splitLine.length != metadataColumns.length) { throw new RuntimeException("Error parsing metadata. Number of columns in line $splitLine " + "is different from that of header $metadataColumns") } String fileName = splitLine[0], sampleId = splitLine[1] fileName = ExecUtil.absoluteSamplePath(sampleMetadataFileName, fileName) def entries = splitLine.length > 2 ? splitLine[2..-1] : [] if (new File(fileName).exists()) { def sampleMetadata = metadataTable.createRow(sampleId, entries) sampleMap.put(sampleId, new SampleFileConnection(fileName, software, sampleMetadata, lazy, store)) } else if (strict) { throw new FileNotFoundException("Missing sample file $fileName") } else { println "[${new Date()} SampleCollection] WARNING: File $fileName not found, skipping" } } } } if (sort) metadataTable.sort() this.metadataTable = metadataTable } /** * Lists all unique sample pairs in a given collection. * Pairs (i, j) are chosen such as j > i, no (i, i) pairs allowed. * @return a list of sample pairs */ @CompileStatic public List listPairs() { def samplePairs = new ArrayList() for (int i = 0; i < size(); i++) for (int j = i + 1; j < size(); j++) samplePairs.add(getAt(i, j)) samplePairs } /** * Lists all unique sample pairs for a given sample * Pairs (i, j) are chosen such as j > i, no (i, i) pairs allowed * Sample #i will be stored into memory * @param i sample index. * @return a list of sample pairs */ @CompileStatic public List listPairs(int i) { def samplePairs = new ArrayList() if (i < size() - 1) { // Load the sample (i.e. re-wrap to dummy connection) def sample1conn = new DummySampleConnection(sampleMap[metadataTable.getRow(i).sampleId].sample) for (int j = i + 1; j < size(); j++) samplePairs.add(new SamplePair(sample1conn, sampleMap[metadataTable.getRow(j).sampleId])) } samplePairs } /** * Get sample by id * @param sampleId sample id * @return sample */ //Sample getAt(String sampleId) { // sampleMap[sampleId] //} /** * Get sample by index, according to current ordering * @param i sample index * @return sample */ @CompileStatic public Sample getAt(int i) { if (i < 0 || i >= metadataTable.sampleCount) throw new IndexOutOfBoundsException() sampleMap[metadataTable.getRow(i).sampleId].sample } /** * Gets sample pair by indices, according to current ordering * @param i index of first sample in pair * @param j index of second sample in pair * @return sample pair */ @CompileStatic public SamplePair getAt(int i, int j) { new SamplePair(sampleMap[metadataTable.getRow(i).sampleId], sampleMap[metadataTable.getRow(j).sampleId], i, j) } /** * Gets an iterator that iterates over samples it current collection * and loads them if needed */ @CompileStatic public Iterator iterator() { def iter = metadataTable.sampleIterator return [ hasNext: { iter.hasNext() }, next : { def sampleId = iter.next() sampleMap[sampleId].sample }] as Iterator } /** * Quickly reads all samples collecting various statistics, such as min/max read count. * Do not store samples in memory * @return */ public SampleStatistics getSampleStatistics() { def minCount = Long.MAX_VALUE, maxCount = 0, minFreq = Double.MAX_VALUE, maxFreq = 0, minDiversity = Integer.MAX_VALUE, maxDiversity = 0 println "[${new Date()} SampleCollection] Collecting sample statistics" sampleMap.each { def sample = it.value.haveAGlance() minCount = Math.min(sample.count, minCount) maxCount = Math.max(sample.count, maxCount) minFreq = Math.min(sample.freq, minFreq) maxFreq = Math.max(sample.freq, maxFreq) minDiversity = Math.min(sample.diversity, minDiversity) maxDiversity = Math.max(sample.diversity, maxDiversity) } new SampleStatistics(minCount, maxCount, minFreq, maxFreq, minDiversity, maxDiversity) } /** * Gets the number of samples * @return number of samples */ public int size() { sampleMap.size() } @Override public String toString() { "samples=" + this.collect { it.sampleMetadata.sampleId }.join(",") + "\nmetadata=" + metadataTable.columnIterator.collect().join(",") } } vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/sample/SampleStatistics.groovy000644 001750 001750 00000006665 13525023773 034331 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.sample /** * An object holding some basic statistics for a sample collection */ public class SampleStatistics { private final long minCount, maxCount private final double minFreq, maxFreq private final int minDiversity, maxDiversity /** * Initializes a new sample statistics object with pre-computed values * @param minCount minimal number of reads in a sample from given sample collection * @param maxCount maximal number of reads in a sample from given sample collection * @param minFreq minimal total frequency of clonotypes in a sample from given sample collection * @param maxFreq maximal total frequency of clonotypes in a sample from given sample collection * @param minDiversity minimal number of clonotypes in a sample from given sample collection * @param maxDiversity maximal number of clonotypes in a sample from given sample collection */ public SampleStatistics(long minCount, long maxCount, double minFreq, double maxFreq, int minDiversity, int maxDiversity) { this.minCount = minCount this.maxCount = maxCount this.minFreq = minFreq this.maxFreq = maxFreq this.minDiversity = minDiversity this.maxDiversity = maxDiversity } /** * Gets the minimal number of reads in a sample from given sample collection * @return size of the smallest sample in sample collection */ public long getMinCount() { minCount } /** * Gets the maximal number of reads in a sample from given sample collection * @return size of the largest sample in sample collection */ public long getMaxCount() { maxCount } public double getMinFreq() { minFreq } public double getMaxFreq() { maxFreq } public int getMinDiversity() { minDiversity } public int getMaxDiversity() { maxDiversity } } vdjtools-1.2.1+git20190311/src/main/groovy/com/antigenomics/vdjtools/sample/metadata/000755 001750 001750 00000000000 13525023773 031331 5ustar00moellermoeller000000 000000 src/main/groovy/com/antigenomics/vdjtools/sample/metadata/MetadataEntryExpressionFilter.groovy000644 001750 001750 00000005160 13525023773 040513 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.sample.metadata class MetadataEntryExpressionFilter implements MetadataEntryFilter { static final String FILTER_MARK = "__" final String expression final List columnIds = new ArrayList<>() MetadataEntryExpressionFilter(String expression) { expression.split(FILTER_MARK).each { token -> def pattern = "$FILTER_MARK$token$FILTER_MARK" if (expression.contains(pattern)) { expression = expression.replaceAll(pattern, "x[\"$token\"]") columnIds.add(token) } } if (expression.contains(FILTER_MARK)) { throw new RuntimeException("Failed to parse filter, '$FILTER_MARK' symbols left.") } this.expression = expression } @Override boolean passes(Map entryValueMap) { if (!entryValueMap.keySet().containsAll(columnIds)) { throw new RuntimeException("Cannot process metadata $entryValueMap. " + "Some of the $columnIds column IDs required for evaluating filter are missing.") } Eval.x(entryValueMap, expression) } } src/main/groovy/com/antigenomics/vdjtools/sample/metadata/MetadataUtil.groovy000644 001750 001750 00000005564 13525023773 035111 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.sample.metadata import org.apache.commons.io.FilenameUtils /** * Some useful utils for metadata manipulation */ public class MetadataUtil { private static final Map sampleHash = new HashMap<>() /** * Converts a file name to sample id * @param fileName file name to convert * @return sample id, a shortcut for file name without any path and extension */ public static String fileName2id(String fileName) { FilenameUtils.getBaseName( fileName.endsWith(".gz") ? FilenameUtils.getBaseName(fileName) : fileName) } /** * Creates sample metadata object and assigns it to a generic metadata table * @param sampleId short unique identifier of a sample * @return sample metadata object assigned to a generic metadata table */ public static SampleMetadata createSampleMetadata(String sampleId) { def idCount = (sampleHash[sampleId] ?: 0) + 1 sampleHash.put(sampleId, idCount) defaultMetadataTable.createRow((idCount > 0 ? "$idCount." : "") + sampleId, new ArrayList()) } /** * Gets a generic metadata table * @return metadata table which contains all statically-created metadata entries */ public static MetadataTable getDefaultMetadataTable() { MetadataTable.GENERIC_METADATA_TABLE } } src/main/groovy/com/antigenomics/vdjtools/sample/metadata/MetadataEntry.groovy000644 001750 001750 00000007350 13525023773 035270 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.sample.metadata import groovy.transform.PackageScope /** * Metadata entry, an object holding metadata table value that is associated with a given sample and column */ public class MetadataEntry { public final MetadataTable grandParent public final SampleMetadata parent public final String columnId public String value /** * Creates new metadata entry * @param grandParent metadata table * @param parent sample metadata, a set of column values for a given sample (e.g. metadata table row) * @param columnId id of metadata table column * @param value metadata table value that is associated with a given sample and column */ public MetadataEntry(MetadataTable grandParent, SampleMetadata parent, String columnId, String value) { this.grandParent = grandParent this.parent = parent this.columnId = columnId this.value = value } /** * INTERNAL re-assignes a given entry to new metadata table and sample * @param grandParent * @param parent * @return */ @PackageScope MetadataEntry changeParent(MetadataTable grandParent, SampleMetadata parent) { new MetadataEntry(grandParent, parent, columnId, value) } /** * Checks if a given metadata entry contains a numeric value * @return {@code true} if value could be converted to number, {@code false} otherwise */ public boolean isNumeric() { value.isDouble() } /** * Converts the metadata entry value to double-precision number * @return a double precision value if sample is numeric, {@code Double.NaN} otherwise */ public double asNumeric() { numeric ? value.toDouble() : Double.NaN } @Override public boolean equals(o) { if (this.is(o)) return true if (getClass() != o.class) return false MetadataEntry that = (MetadataEntry) o if (columnId != that.columnId) return false if (value != that.value) return false return true } @Override public int hashCode() { int result result = columnId.hashCode() result = 31 * result + value.hashCode() return result } @Override public String toString() { value } } src/main/groovy/com/antigenomics/vdjtools/sample/metadata/MetadataColumnInfo.groovy000644 001750 001750 00000011473 13525023773 036241 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.sample.metadata /** * An object containing general information for a metadata column. */ public class MetadataColumnInfo { private final MetadataColumnType metadataColumnType private final int numericSamples, factorSamples private final Set uniqueValues = new HashSet<>() private final Map> sampleIdByValue = new HashMap<>() private final String columnId private final MetadataTable parent /** * Generates an info for a specified column of metadata table. * @param table metadata table. * @param columnId id of column to summarize. */ public MetadataColumnInfo(MetadataTable table, String columnId) { this.parent = table this.columnId = columnId int numericSamples = 0, factorSamples = 0 table.getColumn(columnId).each { if (it.isNumeric()) numericSamples++ else factorSamples++ this.uniqueValues.add(it.value) // getter/member mess in groovy def sampleIds = sampleIdByValue[it.value] if (sampleIds == null) { sampleIdByValue.put(it.value, sampleIds = new ArrayList()) } sampleIds.add(it.parent.sampleId) } if (factorSamples > 0) { if (numericSamples > 0) metadataColumnType = MetadataColumnType.SemiNumeric else metadataColumnType = MetadataColumnType.Factor } else metadataColumnType = MetadataColumnType.Numeric this.numericSamples = numericSamples this.factorSamples = factorSamples } /** * Gets the type of metadata column. * @return numeric , semi-numeric or factor, depending on column content. */ public MetadataColumnType getMetadataColumnType() { metadataColumnType } /** * Gets the number of numeric samples. * @return number of samples that have a numeric value in a given metadata column. */ public int getNumericSamples() { numericSamples } /** * Gets the number of factor samples. * @return number of samples that have a non-numeric value in a given metadata column. */ public int getFactorSamples() { factorSamples } /** * Gets the set of entry values. * @return and unmodifiable set containing unique column values. */ public Set getValues() { Collections.unmodifiableSet(uniqueValues) } /** * Gets the list of sample IDs corresponding to a given entry value in this column. * @param value entry value to match. * @return list of sample identifiers. */ public List getSampleIds(String value) { Collections.unmodifiableList(sampleIdByValue[value]) } /** * Gets the column id. * @return id of metadata column. */ public String getColumnId() { columnId } /** * Gets parent table. * @return parent metadata table. */ public MetadataTable getParent() { parent } @Override public String toString() { "Info($columnId):\n" + "columnType=$metadataColumnType;\n" + "numericSamples=$numericSamples,factorSamples=$factorSamples;\n" + "uniqueEntries=${_uniqueEntries.join(",")}" } } src/main/groovy/com/antigenomics/vdjtools/sample/metadata/BlankMetadataEntryFilter.groovy000644 001750 001750 00000003445 13525023773 037407 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.sample.metadata class BlankMetadataEntryFilter implements MetadataEntryFilter { static final BlankMetadataEntryFilter INSTANCE = new BlankMetadataEntryFilter() private BlankMetadataEntryFilter() { } @Override boolean passes(Map metadataEntries) { true } } src/main/groovy/com/antigenomics/vdjtools/sample/metadata/MetadataEntryFilter.groovy000644 001750 001750 00000004010 13525023773 036424 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.sample.metadata interface MetadataEntryFilter { /** * Checks whether the set of metadata entries represented as a column ID : value map passes the filter. * Values can be either String (factor and semi-numeric metadata columns) or Double (numeric metadata columns). * @param entryValueMap metadata entries. Keys correspond to column IDs, values can be either String or Double. * @return true if entries pass filter, false if they are rejected. */ boolean passes(Map metadataEntries) }src/main/groovy/com/antigenomics/vdjtools/sample/metadata/SampleMetadata.groovy000644 001750 001750 00000011746 13525023773 035414 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.sample.metadata import groovy.transform.PackageScope /** * A class holding metadata column values for a given sample, i.e. a metadata table row */ public class SampleMetadata { private final String sampleId private final ArrayList entries private final MetadataTable parent /** * Creates a blank sample metadata * @param sampleId unique sample id * @param parent parent metadata table */ private SampleMetadata(String sampleId, MetadataTable parent) { this.sampleId = sampleId this.entries = new ArrayList<>() this.parent = parent } /** * Creates sample metadata and fills it with metadata entries * @param sampleId unique sample id * @param entries entries that should be assigned to a given sample * @param parent parent metadata table */ private SampleMetadata(String sampleId, ArrayList entries, MetadataTable parent) { this.sampleId = sampleId this.entries = entries this.parent = parent } /** * Gets the metadata entry associated with current sample and a given column * @param columnId metadata column id * @return metadata entry for a given column id */ public MetadataEntry getAt(String columnId) { if (columnId == MetadataTable.SAMPLE_ID_COLUMN) return new MetadataEntry(parent, this, MetadataTable.SAMPLE_ID_COLUMN, sampleId) parent[sampleId, columnId] } /** * INTERNAL re-assigns parent metadata table * @param parent * @return */ @PackageScope SampleMetadata changeParent(MetadataTable parent) { def sampleMetadata = new SampleMetadata(sampleId, parent) this.entries.each { sampleMetadata.addEntry(it.changeParent(parent, sampleMetadata)) } sampleMetadata } /** * INTERNAL * @param sampleId * @param entries * @param parent * @return */ @PackageScope static SampleMetadata predefined(String sampleId, ArrayList entries, MetadataTable parent) { new SampleMetadata(sampleId, entries, parent) } @PackageScope void addEntry(String columnId, String value) { entries.add(new MetadataEntry(parent, this, columnId, value)) } @PackageScope void addEntry(MetadataEntry metadataEntry) { addEntry(metadataEntry.columnId, metadataEntry.value) } /** * Gets the unique id of current sample * @return sample id string */ public String getSampleId() { sampleId } /** * Gets the metadata row associated with current sample * @return a list of metadata entries for current sample that correspond to different metadata table columns */ public List getEntries() { Collections.unmodifiableList(entries) } /** * Gets parent metadata table * @return metadata table this sample metadata is assigned to */ public MetadataTable getParent() { parent } @Override public boolean equals(o) { if (this.is(o)) return true if (getClass() != o.class) return false SampleMetadata that = (SampleMetadata) o if (sampleId != that.sampleId) return false return true } @Override public int hashCode() { return sampleId.hashCode() } /** * Plain text row for tabular output */ @Override public String toString() { entries.size() > 0 ? entries.join("\t") : "." } } src/main/groovy/com/antigenomics/vdjtools/sample/metadata/MetadataColumnType.groovy000644 001750 001750 00000003567 13525023773 036274 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.sample.metadata /** * Metadata column type that is assigned according to its content */ public enum MetadataColumnType { /** * Column contains only non-numeric values */ /* */ Factor, /** * Column contains only numeric values */ Numeric, /** * Column contains both numeric and non-numeric values */ SemiNumeric }src/main/groovy/com/antigenomics/vdjtools/sample/metadata/SampleMetadataFilter.groovy000644 001750 001750 00000004037 13525023773 036555 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.sample.metadata class SampleMetadataFilter { private final MetadataEntryFilter filter SampleMetadataFilter(MetadataEntryFilter filter) { this.filter = filter } boolean passes(SampleMetadata sampleMetadata) { filter.passes(sampleMetadata.entries.collectEntries { [(it.columnId): getValue(it)] }) } private static Object getValue(MetadataEntry entry) { entry.grandParent.getInfo(entry.columnId).metadataColumnType == MetadataColumnType.Numeric ? entry.value.toDouble() : entry.value } } src/main/groovy/com/antigenomics/vdjtools/sample/metadata/MetadataTable.groovy000644 001750 001750 00000043063 13525023773 035217 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.sample.metadata import com.antigenomics.vdjtools.io.FileInputStreamFactory import com.antigenomics.vdjtools.io.SampleFileConnection import com.antigenomics.vdjtools.sample.SampleCollection import groovy.transform.PackageScope import static com.antigenomics.vdjtools.misc.ExecUtil.* /** * Base class that handles metadata for a sample collection */ class MetadataTable implements Iterable { /** * Generic metadata table. All statically created SampleMetadata objects are internally dependent on it */ @PackageScope static final MetadataTable GENERIC_METADATA_TABLE = new MetadataTable() private final HashMap columnId2Index = new HashMap<>() private final List columnIds private List sampleOrder = new ArrayList<>() private final Map metadataBySample = new HashMap<>() /** * Creates an empty metadata table */ MetadataTable() { this.columnIds = new ArrayList<>() } /** * Creates a metadata table with pre-defined list of columns * @param columnIds column names */ MetadataTable(List columnIds) { this.columnIds = columnIds columnIds.eachWithIndex { it, ind -> if (columnId2Index.containsKey(it)) throw new IllegalArgumentException("Duplicate metadata columns not allowed") columnId2Index.put(it, ind) } } /** * Creates a deep copy of this metadata * @return */ public MetadataTable copy() { def metadataTable = new MetadataTable(columnIds.collect()) this.each { metadataTable.addSample(it) } metadataTable } /** * Selects a subset of samples from this metadata table based on a specified rule. * This method creates a deep copy of metadata table. * @param entryFilter metadata entry filtering rule. * @param sampleIds sample (row) IDs to keep. * @return a copy of metadata table containing selected samples (rows) only. */ public MetadataTable select(MetadataEntryFilter entryFilter = BlankMetadataEntryFilter.INSTANCE, Set sampleIds = sampleIds) { def metadataTable = new MetadataTable(columnIds.collect()) def sampleFilter = new SampleMetadataFilter(entryFilter) this.findAll { if (!this.sampleIds.contains(it.sampleId)) { throw new RuntimeException("Sample $it.sampleId is missing in sample collection." + "Current sample list: ${this.sampleIds.join(",")}.") } sampleIds.contains(it.sampleId) && sampleFilter.passes(it) }.each { metadataTable.addSample(it) } metadataTable } /** * Reorders sample list according to provided order * @param sampleOrder list of sample ids in new order */ void sort(List sampleOrder) { if (sampleOrder.size() != sampleCount) throw new IllegalArgumentException("Bad sample order, " + "number of sample ids and sample collection size don't match") sampleOrder.each { if (!columnId2Index.containsKey(it)) throw new IllegalArgumentException("Bad sample order, unknown sample id $it") } this.sampleOrder = sampleOrder } /** * Sorts samples in metadata according to sample id. */ void sort() { sampleOrder.sort() } /** * Sorts samples in metadata according to a given column in ascending order. * Sorting is performed according to column type (Factor/Numeric/Semi-Numeric). * NaNs for numeric columns are always put last * @param columnId column identifier */ void sort(String columnId) { sort(columnId, true) } /** * Sorts samples in metadata according to a given column. * Sorting is performed according to column type (Factor/Numeric/Semi-Numeric). * NaNs for numeric columns are always put last * @param columnId column identifier * @param ascending true for ascending, false for descending sort */ void sort(String columnId, boolean ascending) { checkColumnId(columnId) def columnInfo = getInfo(columnId) switch (columnInfo.metadataColumnType) { case MetadataColumnType.Numeric: case MetadataColumnType.SemiNumeric: sampleOrder.sort { def value = this[it, columnId].asNumeric() Double.isNaN(value) ? (ascending ? Double.MIN_VALUE : Double.MAX_VALUE) : (ascending ? value : -value) } break case MetadataColumnType.Factor: sampleOrder.sort(true, new Comparator() { @Override int compare(String o1, String o2) { ascending ? o1.compareTo(o2) : -o1.compareTo(o2) } }) break } } /** * Add metadata column * @param columnId name of column * @param values column values for all samples in collection, in corresponding order */ void addColumn(String columnId, List values) { if (values.size() != sampleCount) throw new Exception("Number of values should be equal to number of samples") addColumnId(columnId) sampleOrder.eachWithIndex { it, ind -> metadataBySample[it].addEntry(columnId, values[ind]) } } /** * Add metadata column * @param columnId name of column * @param value value used to fill the column */ void addColumn(String columnId, String value) { addColumnId(columnId) sampleOrder.eachWithIndex { it, ind -> metadataBySample[it].addEntry(columnId, value) } } /** * Add metadata column * @param columnId name of column * @param sample2value map containing column values for * @param strict if true all samples should be matched. Otherwise non-existing samples will be ignored, * while missing samples will take "NA" value */ void addColumn(String columnId, Map sample2value, boolean strict) { if (strict && sampleCount != sample2value.size()) throw new Exception("Number of values should be equal to number of samples") addColumnId(columnId) sample2value.each { if (metadataBySample.containsKey(it.key)) { metadataBySample[it.key].addEntry(columnId, it.value) } else if (strict) { throw new Exception("Unknown sample $it.key") } } // fill missing values if (!strict) { metadataBySample.keySet().each { if (!sample2value.containsKey(it)) { metadataBySample[it].addEntry(columnId, "NA") } } } } private void addColumnId(String columnId) { columnId2Index.put(columnId, columnIds.size()) columnIds.add(columnId) } private void checkColumnId(String columnId) { if (!containsColumn(columnId)) throw new IllegalArgumentException("Column $columnId doesn't exist") } public int getColumnIndex(String columnId) { columnId = columnId.toUpperCase() columnIds.findIndexOf { it.toUpperCase() == columnId } } /** * Check if metadata table contains given column * @param columnId specific column * @return true if metadata table contains given column, otherwise false */ boolean containsColumn(String columnId) { columnIds.contains(columnId) } /** * Creates a sample row, appends the metadata to table and binds sample to a given table * @param sampleId sample name * @param rowValues values of corresponding metadata fields * @return sample metadata instance */ SampleMetadata createRow(String sampleId, List rowValues) { // Create metadata entries, assign current metadata as parent def entries = new ArrayList() def sampleMetadata = SampleMetadata.predefined(sampleId, entries, this) rowValues.eachWithIndex { String value, int i -> entries.add(new MetadataEntry(this, sampleMetadata, columnIds[i], value)) } // Record sample to metadata if all is fine addSample(sampleMetadata) sampleMetadata } /** * Creates an empty sample row, appends the metadata to table and binds sample to a given table * @param sampleId sample name * @return sample metadata instance */ SampleMetadata createRow(String sampleId) { createRow(sampleId, new ArrayList()) } /** * Adds a single sample metadata to given metadata table * @param row sample metadata */ void addSample(SampleMetadata row) { // Extensive checks checkSample(row) // Copy & change ownership row.changeParent(this) // Record this sample sampleOrder.add(row.sampleId) metadataBySample.put(row.sampleId, row) } private void checkSample(SampleMetadata row) { if (metadataBySample.containsKey(row.sampleId)) throw new IllegalArgumentException("Duplicate samples not allowed") if (row.entries.size() != columnIds.size()) throw new Exception("Bad metadata row\n$row\n- number of entries in row " + "and in parent metadata should agree") for (int i = 0; i < columnIds.size(); i++) { def rowValue = row.entries[i].columnId, metadataValue = columnIds[i] if (rowValue != metadataValue) throw new Exception("Bad metadata row\n$row\n- column#${i} don't match between row " + "($rowValue) and parent metadata ($metadataValue)") } } /** * Write metadata table copy to file assuming that one-to-one sample output will also be * placed to the same directory. Used by routines like Decontaminate, ApplySampleAsFilter or Downsample. * @param outputPrefix output prefix * @param compress indicates whether samples will be stored as compressed * @param filters list of filter names applied to data this time */ public void storeWithOutput(String outputPrefix, boolean compress, String... filters) { def metadataPath = formMetadataPath(outputPrefix) def metadataTableCopy = this.copy() filters.each { filter -> if (metadataTableCopy.containsColumn("..filter..")) { metadataTableCopy.getColumn("..filter..").each { it.value += ",$filter" } } else { metadataTableCopy.addColumn("..filter..", filter) } } new File(metadataPath).withPrintWriter { pw -> pw.println("$FILE_NAME_COLUMN\t$SAMPLE_ID_COLUMN\t" + metadataTableCopy.columnHeader) metadataTableCopy.each { def sampleOutputPath = formOutputPath(outputPrefix, it.sampleId) pw.println([relativeSamplePath(metadataPath, sampleOutputPath) + (compress ? ".gz" : ""), it.sampleId, it.toString()].join("\t")) } } } /** * Write the metadata table to file, inheriting sample paths from provided sample collection. * Sample connections should be provided by {@link FileInputStreamFactory} for this method to * work without throwing exception * @param outputPrefix output prefix * @param sampleCollection parent sample collection */ public void storeWithOutput(String outputPrefix, SampleCollection sampleCollection, String splitterValue = null) { def metadataPath = formMetadataPath(outputPrefix, splitterValue) new File(metadataPath).createNewFile() new File(metadataPath).withPrintWriter { pw -> pw.println("$FILE_NAME_COLUMN\t$SAMPLE_ID_COLUMN\t" + this.columnHeader) this.eachWithIndex { it, ind -> def connection = sampleCollection.sampleMap[it.sampleId] as SampleFileConnection def fileInputStream = connection.inputStreamFactory as FileInputStreamFactory pw.println([relativeSamplePath(metadataPath, fileInputStream.fileName), it.sampleId, it.toString()].join("\t")) } } } /** * Gets info on values contained in a given metadata column * @param columnId column name * @return column info */ MetadataColumnInfo getInfo(String columnId) { new MetadataColumnInfo(this, columnId) } /** * Gets all metadata entries in a given column * @param columnId column name * @return metadata entries */ List getColumn(String columnId) { if (columnId == SAMPLE_ID_COLUMN) { return sampleOrder.collect { new MetadataEntry(this, getRow(it), SAMPLE_ID_COLUMN, it) } } checkColumnId(columnId) int index = columnId2Index[columnId] getColumn(index) } /** * Gets all metadata entries in a given column * @param columnIndex column index * @return metadata entries */ List getColumn(int columnIndex) { if (columnIndex < 0 || columnIndex >= columnIds.size()) throw new IndexOutOfBoundsException() sampleOrder.collect { metadataBySample[it].entries[columnIndex] } } /** * Gets row from metadata table * @param sampleId sample name * @return metadata entries for a given sample */ SampleMetadata getRow(String sampleId) { metadataBySample[sampleId] } /** * Gets row from metadata table * @param sampleIndex sample index * @return metadata entries for a given sample */ SampleMetadata getRow(int sampleIndex) { getRow(sampleOrder[sampleIndex]) } /** * Iterate through sample names (row names) * @return */ Iterator getSampleIterator() { sampleOrder.iterator() } /** * Iterate through metadata entry ids (column names) * @return */ Iterator getColumnIterator() { columnIds.iterator() } /** * Gets a specific metadata entry * @param sampleId sample name * @param columnId metadata id * @return metadata entry */ MetadataEntry getAt(String sampleId, String columnId) { if (!columnId2Index.containsKey(columnId)) return null metadataBySample[sampleId].entries[columnId2Index[columnId]] } /** * Gets the number of different metadata entry types (columns) in this table * @return number of columns in the table */ int getNumberOfColumns() { columnIds.size() } /** * Gets the number of different samples (rows) in this table * @return number of rows in the table */ int getSampleCount() { metadataBySample.size() } Set getSampleIds() { Collections.unmodifiableSet(metadataBySample.keySet()) } public static final String SAMPLE_ID_COLUMN = "sample_id", FILE_NAME_COLUMN = "file_name" String getColumnHeader() { columnIds.size() > 0 ? columnIds.collect().join("\t") : "metadata_blank" } @PackageScope String getColumnHeader1() { columnIds.size() > 0 ? columnIds.collect { "1_$it" }.join("\t") : "1_metadata_blank" } @PackageScope String getColumnHeader2() { columnIds.size() > 0 ? columnIds.collect { "2_$it" }.join("\t") : "2_metadata_blank" } @Override String toString() { "\t" + columnIds.collect().join("\t") + "\n" + metadataBySample.collect { it.key + "\t" + it.value.entries.collect() }.join("\n") } @Override Iterator iterator() { def orderIter = sampleOrder.iterator() [hasNext: { orderIter.hasNext() }, next: { metadataBySample[orderIter.next()] }] as Iterator } } vdjtools-1.2.1+git20190311/src/test/000755 001750 001750 00000000000 13525023773 017674 5ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/src/test/java/000755 001750 001750 00000000000 13525023773 020615 5ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/src/test/java/com/000755 001750 001750 00000000000 13525023773 021373 5ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/src/test/java/com/antigenomics/000755 001750 001750 00000000000 13525023773 024053 5ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/src/test/java/com/antigenomics/vdjtools/000755 001750 001750 00000000000 13525023773 025717 5ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/src/test/java/com/antigenomics/vdjtools/Dummy.java000644 001750 001750 00000003116 13525023773 027656 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools; import org.junit.Test; public class Dummy { @Test public void test() { } } vdjtools-1.2.1+git20190311/src/test/resources/000755 001750 001750 00000000000 13525023773 021706 5ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/src/test/resources/samples/000755 001750 001750 00000000000 13525023773 023352 5ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/src/test/resources/samples/mixcr.txt.gz000644 001750 001750 00000037343 13525023773 025666 0ustar00moellermoeller000000 000000 w\U\YoƖ~~ƠdA&dLLsTU${mXVZM:wbo߾y?/}?_л_w?o7|W0}>qvO_>MY<'{b=Q|Oߓ{a]#Q~$d7޹;vϭ\K孰J;~7!m04^ f`hh` m|oW.c쟊{G~?(L޻8r qTQ<8a [.К)͕ O6/8퀗h[8' xI8y$8GħK"2'#6qHw/`H ~TRF@hΝ%@|G[n]kys8=u/=cwhtnI/y8xx]."Or  " b6J&I~?h^J"1#Nx=Ƌ^o_wr!}}á˿1Bh03=8$TE7}#<bVe1-?.5GYEW.` X`DP 4NvQp`!i"SȓLܻp(ܑD5\^%WUh-aRpmA@  Zt5{|(>ɱ=W~}mKmA~,9&E{ԥ+=AhY wLrgGK ki y6d\d*`jս.l"@9 B#DG vҊ8^765 %n}řY3Ioq1ZzCh9h0l )4]CLJPV6As³>4|v}5<25?Ѓʇ6d!-N(܂j $!{ZCæ suYFfEbN$:,j2BEVv|$x3pJUmkŁBՄibh67*-F5` K?=ӈI :HQ{"AP-yXCSuOnVoZhfx«`8^g!DkZ!Kv#^TQZ9v5s";kBA3 !tZ֌|5uȂȥq" uhLRk|L0xnEHkTd5g50,c =b07jA fO\$Q器*x:R5fxxuR{ i6wGM RsR$49A!UUpte@i9;տ5v_&J,.,U]r];YCh~` kҼV,b´i{G!怕pU:( Fy43R5U-l09!vVJ0r>4"Ws |`m7ۏ$}ד:|X댞&É<@td*TI"A6"sě!TG9'AʼPLpiv!IGoLlB16'#zrF*;<'UUd闼i$x3T=݈焗+9`?@\9+[~Ɣ(YbS sA\HԄC_-?oL Żݰ%lQR pLHZQP\ cI!A/YHTv-BHr-p#+,`ΌYSBB`R(Lݭ-*Y;_MgKc'Ip rm 5+ˉLJ=F͜V>5! 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GwRRU̽r):9Wi= -1 && val <= 1 break case Frequency: case Frequency2: case Diversity: case MorisitaHorn: case Jaccard: //case OverlapMetric.ChaoJaccard: //case OverlapMetric.ChaoSorensen: assert val >= 0 && val <= 1 break case sJSD: case vJSD: case vj2JSD: case vjJSD: assert val >= 0 break } } @Test public void test() { def software = Software.VDJtools def resStream = getResource("samples/${software.toString().toLowerCase()}.txt.gz") def sample = load(resStream, software) // downsample def downSampler = new DownSampler(sample) def nResamples = 200 int smallCount = sample.count * 0.1, largeCount = sample.count * 0.5 ExecUtil.quiet() def largeSampleOverlapWorse = new HashMap(), selfOverlapWorse = new HashMap() values().each { largeSampleOverlapWorse.put(it, 0) selfOverlapWorse.put(it, 0) } nResamples.times { def s1 = downSampler.reSample(smallCount), s2 = downSampler.reSample(smallCount) def smallIntersection = new Overlap(s1, s2, OverlapType.AminoAcid) s1 = downSampler.reSample(largeCount) s2 = downSampler.reSample(largeCount) def largeIntersection = new Overlap(s1, s2, OverlapType.AminoAcid), selfIntersection = new Overlap(s1, s1, OverlapType.AminoAcid) values().each { def val1 = smallIntersection.getMetricValue(it), val2 = largeIntersection.getMetricValue(it), val3 = selfIntersection.getMetricValue(it) // check values checkMetricValue(it, val1) checkMetricValue(it, val2) checkMetricValue(it, val3) // Assure that distance has decreased if (it.normalization.normalize(val1) < it.normalization.normalize(val2)) { largeSampleOverlapWorse.put(it, largeSampleOverlapWorse[it] + 1.0) } // self overlap is always the closest one if (it.normalization.normalize(val2) < it.normalization.normalize(val3)) { selfOverlapWorse.put(it, selfOverlapWorse[it] + 1.0) } } } double failureFreq println "Larger sample has worse overlap" largeSampleOverlapWorse.each { failureFreq = (it.value / nResamples) println(it.key.toString() + "\t" + failureFreq) // Note that due to the scaling used in diversity measure (overlap size / (sample1 size * sample2 size)) // when two equally-well intersecting sub-sample pairs are drawn, // the pair with the smallest samples is considered the closest one // For RepSeq data, the other possible normalization (overlap size / sqrt(sample1 size * sample2 size)) // will actually bias towards larger samples, due to higher probability of grabbing similar variants // It was empirically estimated that pow(sample1 size * sample2 size, 0.8) is the optimal choice if (it.key != Diversity & it.key != CorrelationS) assert failureFreq <= 0.01 } println "Self overlap is worse than resampled" selfOverlapWorse.each { failureFreq = (it.value / nResamples) println(it.key.toString() + "\t" + failureFreq) assert failureFreq <= 0.01 } } } vdjtools-1.2.1+git20190311/src/test/groovy/com/antigenomics/vdjtools/io/000755 001750 001750 00000000000 13525023773 026732 5ustar00moellermoeller000000 000000 src/test/groovy/com/antigenomics/vdjtools/io/SampleAnnotationExportTest.groovy000644 001750 001750 00000004307 13525023773 035444 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.io import org.junit.Test import static com.antigenomics.vdjtools.TestUtil.getResource import static com.antigenomics.vdjtools.io.SampleStreamConnection.load class SampleAnnotationExportTest { @Test void vdjdbTest() { def resStream = getResource("samples/vdjdb.txt.gz") def sample = load(resStream) sample.each { assert it.annotation != null && it.annotation.size() > 0 } new SampleWriter().write(sample, "vdjdb.test.txt") def lines1 = getResource("samples/vdjdb.txt.gz").create().readLines(), lines2 = new File("vdjdb.test.txt").readLines() lines1.eachWithIndex { it, ind -> assert it == lines2[ind] } } } vdjtools-1.2.1+git20190311/src/test/groovy/com/antigenomics/vdjtools/io/SampleLoadTest.groovy000644 001750 001750 00000007665 13525023773 033100 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.io import com.antigenomics.vdjtools.misc.Software import org.junit.Test import static Software.* import static com.antigenomics.vdjtools.TestUtil.getResource import static com.antigenomics.vdjtools.io.SampleStreamConnection.load class SampleLoadTest { private static void loadTest(Software software, int count, int diversity, String suffix = '') { def resStream = getResource("samples/${software.toString().toLowerCase()}${suffix}.txt.gz") def sample = load(resStream, software) assert sample.count == count assert sample.diversity == diversity if (software.perReadOutput) { // check if frequency is recalculated assert Math.abs(sample.freqAsInInput - 1.0f) < 1e-5f assert Math.abs(sample.freq - 1.0f) < 1e-5f } assert sample.any { it.freq <= 1.0f } } @Test public void mitcrTest() { loadTest(MiTcr, 10000, 6493) } @Test public void migecTest() { loadTest(MiGec, 6147, 2420) } @Test public void migmapTest() { loadTest(MigMap, 720, 703) } @Test public void simpleTest() { loadTest(VDJtools, 11878, 2257) } @Test public void immunoseqTest() { loadTest(ImmunoSeq, 1108335, 42876) } @Test public void immunoseqTemplateTest() { loadTest(ImmunoSeq, 654, 1, "_1") } @Test public void immunoseqV2Test() { loadTest(ImmunoSeqV2, 1108335, 42876) } @Test public void imgtTest() { loadTest(ImgtHighVQuest, 9681, 7199) } @Test public void mixcrTest() { loadTest(MiXcr, 96132, 262) } @Test public void mixcrFullLengthTest() { loadTest(MiXcr, 14156, 20, ".fl") } @Test public void mixcr17LengthTest() { loadTest(MiXcr, 900, 873, ".171") } @Test public void mixcr21Test() { loadTest(MiXcr, 900, 873, ".21") } @Test public void mixcr3Test() { loadTest(MiXcr, 4509, 96, ".3") } @Test public void imseqTest() { loadTest(ImSeq, 647, 86) } @Test public void vidjilTest() { loadTest(Vidjil, 1667310, 165) } @Test public void rtcrTest() { loadTest(RTCR, 875, 693) } @Test public void emptyTest() { def resStream = getResource("samples/empty.txt") def sample = load(resStream) assert sample.count == 0 assert sample.diversity == 0 } } vdjtools-1.2.1+git20190311/src/test/groovy/com/antigenomics/vdjtools/basic/000755 001750 001750 00000000000 13525023773 027404 5ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/src/test/groovy/com/antigenomics/vdjtools/basic/SegmentUsageTest.groovy000644 001750 001750 00000004070 13525023773 034103 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.basic import com.antigenomics.vdjtools.TestUtil import org.junit.Test class SegmentUsageTest { @Test void test0() { [TestUtil.DEFAULT_SAMPLE_COLLECTION, TestUtil.SINGLE_EMPTY_SAMPLE].each { samples -> def segmentUsage = new SegmentUsage(samples, false) samples.each { String id = it.sampleMetadata.sampleId assert segmentUsage.jUsageVector(id) != null assert segmentUsage.vUsageVector(id) != null assert segmentUsage.vjUsageMatrix(id) != null } } } } vdjtools-1.2.1+git20190311/src/test/groovy/com/antigenomics/vdjtools/basic/SpectratypeVTest.groovy000644 001750 001750 00000003671 13525023773 034153 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.basic import com.antigenomics.vdjtools.TestUtil import org.junit.Test /** * Created by mikesh on 6/8/15. */ class SpectratypeVTest { @Test void test0() { [TestUtil.DEFAULT_SAMPLE_COLLECTION, TestUtil.SINGLE_EMPTY_SAMPLE].each { samples -> samples.each { def spectraV = new SpectratypeV(false, false) spectraV.addAll(it) spectraV.collapse(100) } } } } vdjtools-1.2.1+git20190311/src/test/groovy/com/antigenomics/vdjtools/basic/BasicStatsTest.groovy000644 001750 001750 00000003467 13525023773 033565 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ import com.antigenomics.vdjtools.TestUtil import com.antigenomics.vdjtools.basic.BasicStats import org.junit.Test class BasicStatsTest { @Test void test0() { [TestUtil.DEFAULT_SAMPLE_COLLECTION, TestUtil.SINGLE_EMPTY_SAMPLE].each { samples -> samples.each { new BasicStats(it, true) } } } }src/test/groovy/com/antigenomics/vdjtools/basic/FancySpectratypeTest.groovy000644 001750 001750 00000001626 13525023773 034725 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311package com.antigenomics.vdjtools.basic import com.antigenomics.vdjtools.TestUtil import org.junit.Test class FancySpectratypeTest { @Test void test0() { [TestUtil.DEFAULT_SAMPLE_COLLECTION, TestUtil.SINGLE_EMPTY_SAMPLE].each { samples -> samples.each { if (it.diversity > 0) { def fancySpectratype = new FancySpectratype(it, 10) def values = fancySpectratype.spectraMatrix.collect { it.toList() }.flatten() assert values.every { it >= 0 } assert Math.abs(values.sum() - 1.0) < 1e-8 } else { // Test no error for empty assert new FancySpectratype(TestUtil.SINGLE_EMPTY_SAMPLE.first(), 10). spectraMatrix.collect { it.toList() }.flatten().every { it == 0 } } } } } } vdjtools-1.2.1+git20190311/src/test/groovy/com/antigenomics/vdjtools/basic/SpectratypeTest.groovy000644 001750 001750 00000003471 13525023773 034023 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.basic import com.antigenomics.vdjtools.TestUtil import org.junit.Test class SpectratypeTest { @Test void test0() { [TestUtil.DEFAULT_SAMPLE_COLLECTION, TestUtil.SINGLE_EMPTY_SAMPLE].each { samples -> samples.each { new Spectratype(it, false, false) } } } } vdjtools-1.2.1+git20190311/src/test/groovy/com/antigenomics/vdjtools/diversity/000755 001750 001750 00000000000 13525023773 030345 5ustar00moellermoeller000000 000000 src/test/groovy/com/antigenomics/vdjtools/diversity/ExactEstimatorTest.groovy000644 001750 001750 00000010741 13525023773 035334 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.diversity import org.junit.Test class ExactEstimatorTest { private static boolean check(String estimateName, DiversityEstimate estimate, FrequencyTableGenerator tableGenerator) { def lower = estimate.mean - estimate.std, upper = estimate.mean + estimate.std if (estimate instanceof DiversityIndex) { switch (estimateName) { case "d50Index": assert lower < 1.001 return upper > 0.9 case "normalizedShannonWienerIndex": assert lower >= 0 assert upper <= 1 return lower > 0.9 case "shannonWienerIndex": assert lower < 1.001 * tableGenerator.observedSpecies return upper > 0.7 * tableGenerator.observedSpecies case "inverseSimpsonIndex": assert lower < 1.001 * tableGenerator.observedSpecies return upper > 0.4 * tableGenerator.observedSpecies } } else if (estimate instanceof SpeciesRichness) { switch (estimateName) { case "observedDiversity": assert upper > 0.999 * tableGenerator.observedSpecies && lower < 1.001 * tableGenerator.observedSpecies return true case "chaoE": return upper > 0.5 * tableGenerator.numberOfSpecies && lower < 1.001 * tableGenerator.numberOfSpecies case "efronThisted": return upper > 0.5 * tableGenerator.numberOfSpecies && lower < 1.001 * tableGenerator.numberOfSpecies case "chao1": return upper > 0.5 * tableGenerator.numberOfSpecies && lower < 1.001 * tableGenerator.numberOfSpecies } } } @Test public void randomTest() { def tableGenerator = new FrequencyTableGenerator() def goodCounter = new HashMap() DiversityEstimator.ESTIMATE_NAMES.each { goodCounter.put(it, 0) } def trials = 300 //println DiversityEstimator.HEADER for (int i = 0; i < trials; i++) { def table = tableGenerator.create() def diversityEstimates = new ExactEstimator(table, table.count * 10) diversityEstimates.computeAll().each { def name = it.key, estimate = it.value, good = check(name, estimate, tableGenerator) //println it.toString() + "\t" + good if (good) goodCounter.put(name, (goodCounter[name] ?: 0) + 1) } //println diversityEstimates } goodCounter.each { def rate = it.value / (double) trials println "Good estimate rate for $it.key is $rate" assert rate >= 0.7 } } } src/test/groovy/com/antigenomics/vdjtools/diversity/FrequencyTableGenerator.groovy000644 001750 001750 00000004430 13525023773 036316 0ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.diversity import org.apache.commons.math3.distribution.ZipfDistribution import org.apache.commons.math3.random.Well19937c class FrequencyTableGenerator { int numberOfSpecies = 500, observedSpecies = 100 double exponent = 3.0 FrequencyTableGenerator() { } FrequencyTableGenerator(int numberOfSpecies, double exponent) { this.numberOfSpecies = numberOfSpecies this.exponent = exponent } public FrequencyTable create() { def distr = new ZipfDistribution(new Well19937c(21051102L), numberOfSpecies, exponent) def cache = new HashMap() observedSpecies.times { def count = distr.sample() cache.put(count, (cache[count] ?: 0) + 1) } new FrequencyTable(cache) } } vdjtools-1.2.1+git20190311/src/test/groovy/com/antigenomics/vdjtools/TestUtil.groovy000644 001750 001750 00000005337 13525023773 031357 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools import com.antigenomics.vdjtools.io.InputStreamFactory import com.antigenomics.vdjtools.misc.Software import com.antigenomics.vdjtools.sample.SampleCollection import java.util.zip.GZIPInputStream import static com.antigenomics.vdjtools.io.SampleStreamConnection.load class TestUtil { static final SampleCollection DEFAULT_SAMPLE_COLLECTION = loadSamples(), SINGLE_EMPTY_SAMPLE = SampleCollection.fromSampleList([load(getResource("samples/empty.txt"), Software.VDJtools)]) private static SampleCollection loadSamples() { def samples = Software.values().collect { load(getResource("samples/${it.toString().toLowerCase()}.txt.gz"), it) } samples.add(load(getResource("samples/empty.txt"), Software.VDJtools)) SampleCollection.fromSampleList(samples) } public static InputStreamFactory getResource(String resourceName) { [ create: { def is = TestUtil.class.classLoader.getResourceAsStream(resourceName) //print(resourceName) resourceName.endsWith(".gz") ? new GZIPInputStream(is) : is }, getId : { resourceName.split("/")[-1] } ] as InputStreamFactory } } vdjtools-1.2.1+git20190311/src/test/groovy/com/antigenomics/vdjtools/annotate/000755 001750 001750 00000000000 13525023773 030134 5ustar00moellermoeller000000 000000 vdjtools-1.2.1+git20190311/src/test/groovy/com/antigenomics/vdjtools/annotate/CdrAaStatsTest.groovy000644 001750 001750 00000010113 13525023773 034230 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.annotate import com.antigenomics.vdjtools.TestUtil import com.antigenomics.vdjtools.annotate.partitioning.Cdr3Center import com.antigenomics.vdjtools.annotate.partitioning.FullCdr3 import com.antigenomics.vdjtools.sample.Clonotype import com.antigenomics.vdjtools.misc.CommonUtil import org.junit.Test class CdrAaStatsTest { @Test void summaryTest() { // Test statistics def propertySummary = new AaPropertySummaryEvaluator( KnownAminoAcidProperties.INSTANCE.getByName("count"), new FullCdr3(), false, true ) [TestUtil.DEFAULT_SAMPLE_COLLECTION, TestUtil.SINGLE_EMPTY_SAMPLE].each { samples -> samples.each { sample -> def summary = propertySummary.compute(sample) ["mean", "q25", "median", "q75"].each { println "$it=${summary."$it"}" } } } } def clonotypes = [ new Clonotype(null, 1, 1.0d, [2, -1, -1, -10] as int[], "TRAV5", CommonUtil.PLACEHOLDER, "TRAJ48", "TGTCATGAGAAATTAACCTTT", "CHEKLTF", true, true, true), new Clonotype(null, 1, 1.0d, [14, -1, -1, 19] as int[], "TRAV5", CommonUtil.PLACEHOLDER, "TRAJ48", "TGCCTCGTGGGTGACTCGTACACGGGCAGGAGAGCACTTACTTTT", "CLVGDSYTGRRALTF", true, true, true), new Clonotype(null, 1, 1.0d, [-1, -1, -1, -1] as int[], "TRAV5", CommonUtil.PLACEHOLDER, "TRAJ48", "A" * 45, "A" * 6 + "F" * 3 + "A" * 6, true, true, true), new Clonotype(null, 1, 1.0d, [-1, -1, -1, -1] as int[], "TRAV5", CommonUtil.PLACEHOLDER, "TRAJ48", "A" * 45, "F" * 6 + "A" * 3 + "F" * 6, true, true, true)] @Test void regionTest() { clonotypes.each { clonotype -> KnownCdr3Regions.INSTANCE.getAll().each { region -> println region.name + "\t" + region.extractAminoAcid(clonotype) println region.name + "\t" + region.extractNucleotide(clonotype) } } } @Test void propertyTest() { def propertySummary = new AaPropertySummaryEvaluator( KnownAminoAcidProperties.INSTANCE.getByName("strength"), Cdr3Center.CDR3_CENTER_5, false, false ) assert propertySummary.compute(clonotypes[2]) == 3 assert propertySummary.compute(clonotypes[3]) == 2 } } vdjtools-1.2.1+git20190311/src/test/groovy/com/antigenomics/vdjtools/annotate/AnnotateTest.groovy000644 001750 001750 00000005433 13525023773 034021 0ustar00moellermoeller000000 000000 /* * Copyright (c) 2015, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail * (here and after addressed as Inventors) * All Rights Reserved * * Permission to use, copy, modify and distribute any part of this program for * educational, research and non-profit purposes, by non-profit institutions * only, without fee, and without a written agreement is hereby granted, * provided that the above copyright notice, this paragraph and the following * three paragraphs appear in all copies. * * Those desiring to incorporate this work into commercial products or use for * commercial purposes should contact the Inventors using one of the following * email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com * * IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, * SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, * ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS * NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR * MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO * WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A * PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY * PATENT, TRADEMARK OR OTHER RIGHTS. */ package com.antigenomics.vdjtools.annotate import com.antigenomics.vdjtools.TestUtil import com.antigenomics.vdjtools.misc.CommonUtil import com.antigenomics.vdjtools.sample.Sample import com.milaboratory.core.sequence.AminoAcidSequence import org.junit.Test class AnnotateTest { @Test void aaPropertyTest() { // Simple consistency test sum of values <> result of annotation of AA sequence that contains them all def seq1 = new AminoAcidSequence(CommonUtil.AAS.collect().join("")) def n = CommonUtil.AAS.size() KnownAminoAcidProperties.INSTANCE.getAll(). findAll { it instanceof SimpleAaProperty }.each { SimpleAaProperty prop -> assert prop.values.collect().sum() == (0.. samples.each { sample1 -> def sample = new Sample(sample1) // clone annotator.annotate(sample) assert sample.annotationHeader sample.each { assert it.annotation } } } } } vdjtools-1.2.1+git20190311/build.gradle000644 001750 001750 00000002375 13525023773 020414 0ustar00moellermoeller000000 000000 apply plugin: 'groovy' apply plugin: 'application' sourceCompatibility = 8 targetCompatibility = 8 group = 'com.antigenomics' version = '1.2.1' mainClassName = 'com.antigenomics.vdjtools.VdjTools' repositories { mavenCentral() maven { url 'https://jitpack.io' } flatDir { dirs '/usr/share/java' } } jar { baseName = 'vdjtools' version = "$version" manifest { attributes("Main-Class": "$mainClassName", "Implementation-Version": version) } from { configurations.compile.collect { it.isDirectory() ? it : zipTree(it) } } } sourceSets { main { java { srcDirs = [] } // no source dirs for the java compiler groovy { srcDirs = ["src/main/java", "src/main/groovy"] } // compile everything in src/ with groovy } test { java { srcDirs = [] } // no source dirs for the java compiler groovy { srcDirs = ["src/test/java", "src/test/groovy"] } // compile everything in src/ with groovy } } dependencies { compile 'org.codehaus.groovy:groovy-all:2.5.2' compile 'org.codehaus.gpars:gpars:1.2.1' compile 'junit:junit:4.12' compile 'com.milaboratory:milib:1.8.3' compile 'commons-io:commons-io:1.2' compile 'org.apache.commons:commons-lang3:3.4' } vdjtools-1.2.1+git20190311/LICENSE000644 001750 001750 00000003034 13525023773 017133 0ustar00moellermoeller000000 000000 VDJTOOLS: A software for post-analysis of immune repertoire sequencing data ---------------------------------------------------------------------------- Copyright (c) 2015-2018, Bolotin Dmitry, Chudakov Dmitry, Shugay Mikhail (here and after addressed as Inventors) All Rights Reserved Permission to use, copy, modify and distribute any part of this program for educational, research and non-profit purposes, by non-profit institutions only, without fee, and without a written agreement is hereby granted, provided that the above copyright notice, this paragraph and the following three paragraphs appear in all copies. Those desiring to incorporate this work into commercial products or use for commercial purposes should contact the Inventors using one of the following email addresses: chudakovdm@mail.ru, chudakovdm@gmail.com IN NO EVENT SHALL THE INVENTORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE INVENTORS HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE INVENTORS HAS NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR MODIFICATIONS. THE INVENTORS MAKES NO REPRESENTATIONS AND EXTENDS NO WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY PATENT, TRADEMARK OR OTHER RIGHTS.vdjtools-1.2.1+git20190311/vdjdb.test.txt000644 001750 001750 00000257312 13525023773 020750 0ustar00moellermoeller000000 000000 count freq cdr3nt cdr3aa v d j VEnd DStart DEnd JStart id.in.sample score complex.id gene cdr3 v.segm d.segm j.segm species mhc.a mhc.b mhc.class antigen.epitope antigen.gene antigen.species reference.id vdjdb.score 2686 0.05372 TGTGCCAGCAGCCGGACAGGGTACCAAGAGACCCAGTACTTC CASSRTGYQETQYF TRBV6-5 TRBD1 TRBJ2-5 10 13 20 22 4 2764.834 0 TRB CASFRTGTSETQYF TRBV5-5 TRBD1*01 TRBJ2-5*01 HomoSapiens HLA-B*07:02 B2M MHCI GPGHKARVL p24 CMV PMID:21555537 2 108 0.00216 TGCAGTGCAGACAGGGGCGCCTTCTCTGGGGCCAACGTCCTGACTTTC CSADRGAFSGANVLTF TRBV20-1 TRBD1 TRBJ2-6 7 9 16 23 22 2815.2668 0 TRB CSARGAGFSGANVLTF TRBV20-1 TRBJ2-6 HomoSapiens HLA-A*02:01 B2M MHCI YVLDHLIVV BRLF1 EBV PMID:23267020,PMID:24512815 4 44 8.8E-4 TGTGCCAGCAGCTCCGCCTACTATGGCTACACCTTC CASSSAYYGYTF TRBV12-4 TRBD2 TRBJ1-2 10 11 14 19 43 3220.1843 0 TRB CASSSAYYGYTF TRBV12-4 TRBJ1-2 HomoSapiens HLA-A*02:01 B2M MHCI NLVPMVATV p65 CMV PMID:23267020,PMID:19017975,PMID:24512815 5 18 3.6E-4 TGTGCCAGCAGCCCAGGGGGCGGCGAGCAGTACTTC CASSPGGGEQYF TRBV6-5 TRBD1 TRBJ2-7 10 13 20 23 95 2760.2173 0 TRB CASSPGGGKETQYF TRBV7-6 TRBJ2-5 HomoSapiens HLA-B*18 B2M MHCI DEEDAIAAY IE1 CMV PMID:10756006 4 8 1.6E-4 TGTGCCAGCAGGACCGGGACAGGGCAAGAGACCCAGTACTTC CASRTGTGQETQYF TRBV9 TRBD1 TRBJ2-5 10 15 23 24 194 3104.6904 0 TRB CASRTGTHTDTQYF TRBV28 TRBJ2-3 HomoSapiens HLA-DRA*01 HLA-DRB1*01 MHCII PKYVKQNTLKLAT HA InfluenzaA PMID:12466894 4 7 1.4E-4 TGTGCCAGCAGCTCCCCGGGACTTCCAAACTATGGCTACACCTTC CASSSPGLPNYGYTF TRBV9 TRBD2 TRBJ1-2 11 17 22 27 226 3093.7766 0 TRB CAISDPGTLPNYGYTF TRBV10-3 TRBJ1-2 HomoSapiens HLA-B*35:08 B2M MHCI HPVGEADYFEY EBNA1 EBV PMID:17082594 2 7 1.4E-4 TGTGCCAGCAGTTAAGGGGTGAACACTGAAGCTTTCTTT CASS*GVNTEAFF TRBV6-6 TRBD1 TRBJ1-1 13 14 18 19 205 2759.4963 282 TRB CASSLRVNTEAFF TRBV7-3*01 TRBD1*01 TRBJ1-1*01 HomoSapiens HLA-B*08 B2M MHCI QIKVRVDMV IE1 CMV PMID:23637823 2 7 1.4E-4 TGTGCCAGCAGCCCGTCTGGGGCCAACGTCCTGACTTTC CASSPSGANVLTF TRBV11-2 TRBD2 TRBJ2-6 11 12 14 15 225 3423.2134 0 TRB CASSPSGANVLTF TRBV27 TRBJ2-6*01 HomoSapiens HLA-B*08:01 B2M MHCI RAKFKQLL BZLF1 EBV PMID:21555537 2 7 1.4E-4 TGCAGCGTTGAAATGGGAGTCGGAGAGACCCAGTACTTC CSVEMGVGETQYF TRBV29-1 TRBD2 TRBJ2-5 11 14 18 23 236 2939.6243 0 TRB CSVEVGAGETQYF TRBV29-1 TRBJ2-5 HomoSapiens HLA-A*02 B2M MHCI ILKEPVHGV Pol HIV-1 PMID:17287271 2 6 1.2E-4 TGTGCCAGCAGCCGGACCCAGGGAGGGTACAATGAGCAGTTCTTC CASSRTQGGYNEQFF TRBV6-5 TRBD2 TRBJ2-1 10 20 26 27 270 3140.7007 0 TRB CASSRTSGGFYNEQFF TRBV2 TRBJ2-1 HomoSapiens HLA-A*11:01 B2M MHCI IVTDFSVIK EBNA3b EBV PMID:24512815 4 6 1.2E-4 TGTGCCAGCAGAAGGACAGGGGGCACAGATACGCAGTATTTT CASRRTGGTDTQYF TRBV12-4 TRBD1 TRBJ2-3 10 13 21 22 302 2929.6228 0 TRB CASSRTGSTDTQYF TRBV28 TRBJ2-3 HomoSapiens HLA-DRA*01 HLA-DRB1*01 MHCII PKYVKQNTLKLAT HA InfluenzaA PMID:22314361 3 6 1.2E-4 TGTGCCAGCAGCTCCGTAGCGGGTGGAACTTACAATGAGCAGTTCTTC CASSSVAGGTYNEQFF TRBV7-2 TRBD2 TRBJ2-1 12 16 22 30 245 2770.6233 170 TRB CASSPVAGGAYNEQFF TRBV13 TRBJ2 HomoSapiens HLA-A*02:01 B2M MHCI NLVPMVATV p65 CMV PMID:16237109 4 5 1.0E-4 TGCAGCGTTGGGACAGGGGGCACAGATACGCAGTATTTT CSVGTGGTDTQYF TRBV29-1 TRBD1 TRBJ2-3 9 10 18 19 384 3275.4126 0 TRB CSVGTGGTNEKLFF TRBV29-1 TRBD1*01 TRBJ1-4*01,TRBJ1-4 HomoSapiens HLA-A*02:01,HLA-A*02 B2M MHCI GLCTLVAML BMLF1 EBV PMID:12504586,PMID:23267020,PMID:19017975,PMID:21555537,PMID:24512815,PMID:10925283 5 5 1.0E-4 TGTGCCAGCAGCTTAGATCGGGGGCGCACAGATACGCAGTATTTT CASSLDRGRTDTQYF TRBV7-2 TRBD1 TRBJ2-3 15 19 24 25 342 3061.0076 0 TRB CASSLQRGRTDTQYF TRBV11-2 TRBJ2-3 HomoSapiens HLA-A*02:01 B2M MHCI VLEETSVML IE1 CMV PMID:23267020,PMID:24512815 5 5 1.0E-4 TGCGCCAGCAGCCCCGGTCGATTCGGGGCCAACGTCCTGACTTTC CASSPGRFGANVLTF TRBV4-3 TRBD1 TRBJ2-6 12 16 18 24 324 2816.5396 0 TRB CASSPGDTGANVLTF TRBV27 TRBJ2-6 HomoSapiens HLA-A*01:01 B2M MHCI ATDALMTGY NS3 HCV PMID:21160049 2 5 1.0E-4 TGTGCCAGCAGGTTCACAGATACGCAGTATTTT CASRFTDTQYF TRBV6-6 TRBD1 TRBJ2-3 10 11 12 14 314 2869.3323 0 TRB CATRSTDTQYF TRBV15 TRBJ2-3*01 HomoSapiens HLA-B*07:02 B2M MHCI GPGHKARVL p24 CMV PMID:21555537 2 4 8.0E-5 TGTGCCAGCAGGTCGGGACAGGGGAACGAGCAGTACTTC CASRSGQGNEQYF TRBV12-4 TRBD1 TRBJ2-7 10 14 23 25 456 2872.4995 0 TRB CASRVGTGNLYEQYF TRBV27 TRBJ2-7 HomoSapiens HLA-B*07:02 B2M MHCI TPRVTGGGAM p65 CMV PMID:23267020,PMID:24512815 5 4 8.0E-5 TGCGCCAGCACGAGGACTAGCGGGGGGTACAATGAGCAGTTCTTC CASTRTSGGYNEQFF TRBV5-1 TRBD2 TRBJ2-1 9 13 26 27 460 3052.5134 0 TRB CASSRTSGGFYNEQFF TRBV2 TRBJ2-1 HomoSapiens HLA-A*11:01 B2M MHCI IVTDFSVIK EBNA3b EBV PMID:24512815 4 4 8.0E-5 TGTGCCAGCACCCGATACGGACCCACAGATACGCAGTATTTT CASTRYGPTDTQYF TRBV7-2 TRBD1 TRBJ2-3 9 18 21 23 536 2744.5847 0 TRB CATTQYGTDTQYF TRBV15 TRBJ2-3 HomoSapiens HLA-B*08:01 B2M MHCI RAKFKQLL BZLF1 EBV PMID:23267020,PMID:24512815 4 4 8.0E-5 TGTGCCAGCAGTTACAGGGGAGAGACCCAGTACTTC CASSYRGETQYF TRBV6-6 TRBD1 TRBJ2-5 14 15 19 20 513 2889.8796 0 TRB CASSLRGETQYF TRBV5-1 TRBD1*01 TRBJ2-5*01 HomoSapiens HLA-B*07:02 B2M MHCI GPGHKARVL p24 CMV PMID:21555537 2 4 8.0E-5 TGCAGCGTCGGCGTAACTAACTATGGCTACACCTTC CSVGVTNYGYTF TRBV29-1 TRBD1 TRBJ1-2 7 9 11 16 470 2809.1443 0 TRB CSVGGTFYGYTF TRBV29-1 TRBD1*01 TRBJ1-2*01,TRBJ1-2 HomoSapiens HLA-A*02:01 B2M MHCI GLCTLVAML BMLF1 EBV PMID:21555537,PMID:24512815 4 4 8.0E-5 TGTGCCAGCCGGACCACGGATACGCAGTATTTT CASRTTDTQYF TRBV18 TRBD1 TRBJ2-3 8 10 13 14 425 3014.5415 0 TRB CATRSTDTQYF TRBV15 TRBJ2-3*01 HomoSapiens HLA-B*07:02 B2M MHCI GPGHKARVL p24 CMV PMID:21555537 2 4 8.0E-5 TGTGCCAGCAGTTACACCCAGGGGGCGGGAGAGACCCAGTACTTC CASSYTQGAGETQYF TRBV6-5 TRBD1 TRBJ2-5 14 18 25 29 507 2830.6797 0 TRB CASSYSRGAGNTIYF TRBV6-6 TRBJ1-3 HomoSapiens HLA-A*03 B2M MHCI QVPLRPMTYK Nef HIV-1 PMID:17287271 2 3 6.0E-5 TGTGCCAGCAGTACTAGCGGGGGCACAGATACGCAGTATTTT CASSTSGGTDTQYF TRBV7-9 TRBD2 TRBJ2-3 10 12 21 22 742 2740.926 0 TRB CASSTTGSTDTQYF TRBV28 TRBJ2-3 HomoSapiens HLA-DRA*01 HLA-DRB1*01 MHCII PKYVKQNTLKLAT HA InfluenzaA PMID:22314361 3 3 6.0E-5 TGTGCCACCAGCAGGACCGGGACAACCTACGAGCAGTACTTC CATSRTGTTYEQYF TRBV15 TRBD1 TRBJ2-7 11 18 23 25 863 3625.6467 122,81 TRB CASSRTGSTYEQYF TRBV5-6*01,TRBV5-6 TRBJ2-3*01,TRBJ2-7 HomoSapiens HLA-B*35:08,HLA-B*35:08:01 B2M MHCI LPEPLPQGQLTAY BZLF1 EBV PMID:15849183,PMID:23569211 7 3 6.0E-5 TGCAGTGCTAGGGTTATAGCGGGACCTAACAATGAGCAGTTCTTC CSARVIAGPNNEQFF TRBV20-1 TRBD2 TRBJ2-1 10 16 23 28 687 2779.0815 0 TRB CASRVGAGNTEAFF TRBV27 TRBJ1-1 HomoSapiens HLA-B*07:02 B2M MHCI TPRVTGGGAM p65 CMV PMID:23267020,PMID:24512815 4 3 6.0E-5 TGCAGCGCCACGGGGGGGGGGACCTACGAGCAGTACTTC CSATGGGTYEQYF TRBV29-1 TRBD2 TRBJ2-7 7 10 17 22 712 3435.9197 0 TRB CSVTGGGRTYEQYF TRBV29-1 TRBD2*01 TRBJ2-1*01 HomoSapiens HLA-B*07:02 B2M MHCI GPGHKARVL p24 CMV PMID:21555537 2 3 6.0E-5 TGCGCCAGCAGCAAACAGGGGGATCGTACAGATACGCAGTATTTT CASSKQGDRTDTQYF TRBV5-1 TRBD1 TRBJ2-3 11 14 21 27 641 2862.0068 0 TRB CASSKQGRGTDTQYF TRBV7-9 TRBJ2-3 HomoSapiens HLA-B*08:01 B2M MHCI RAKFKQLL BZLF1 EBV PMID:23267020,PMID:24512815 4 2 4.0E-5 TGTGCCAGCAGCGAGGGTACGGGAACCTACGAGCAGTACTTC CASSEGTGTYEQYF TRBV7-2 TRBD2 TRBJ2-7 11 19 23 25 1172 2838.104 0 TRB CASSPGTGSYEQYF TRBV5-1 TRBJ2-7 HomoSapiens HLA-B*08:01 B2M MHCI RAKFKQLL BZLF1 EBV PMID:24512815 4 2 4.0E-5 TGTGCCAGCAGGGAGGGTAACTATGGCTACACCTTC CASREGNYGYTF TRBV12-4 TRBD2 TRBJ1-2 10 11 16 17 902 2787.1885 0 TRB CASREGEYYGYTF TRBV6-1,TRBV6-5 TRBD1*01 TRBJ1-2*01 HomoSapiens HLA-A*02:01 B2M MHCI NLVPMVATV p65 CMV PMID:21555537 2 2 4.0E-5 TGTGCCAGCAGTCCCACCGGGACAGGGTTATACGAGCAGTACTTC CASSPTGTGLYEQYF TRBV7-2 TRBD1 TRBJ2-7 10 18 26 30 1121 2844.2427 0 TRB CASSPFGTGPYEQYF TRBV7-3 TRBJ2-7 HomoSapiens HLA-A*01:01 B2M MHCI ATDALMTGY NS3 HCV PMID:21160049 2 2 4.0E-5 TGTGCCAGCAGGCCCGGGACTAGCGGGAGCTACGAGCAGTACTTC CASRPGTSGSYEQYF TRBV12-4 TRBD2 TRBJ2-7 10 15 28 29 1306 3245.5361 0 TRB CASRPGTSSYEQYF TRBV28*01 TRBD1*01,TRBD2*01 TRBJ2-7*01 HomoSapiens HLA-B*35:08 B2M MHCI CPSQEPMSIYVY p65 CMV PMID:18270323 2 2 4.0E-5 TGTGCCAGCAGGCCCGGGACTAGCGGGAGCTACGAGCAGTACTTC CASRPGTSGSYEQYF TRBV12-4 TRBD2 TRBJ2-7 10 15 28 29 1306 3089.2998 193 TRB CASRPGTASYEQYF TRBV28*01 TRBD1*01 TRBJ2-7*01 HomoSapiens HLA-B*35:08 B2M MHCI CPSQEPMSIYVY p65 CMV PMID:18270323 2 2 4.0E-5 TGTGCCAGCAGCCGGACCGGGACTAGGACAGATACGCAGTATTTT CASSRTGTRTDTQYF TRBV28 TRBD2 TRBJ2-3 10 18 25 27 1259 4014.816 0 TRB CASRTGTHTDTQYF TRBV28 TRBJ2-3 HomoSapiens HLA-DRA*01 HLA-DRB1*01 MHCII PKYVKQNTLKLAT HA InfluenzaA PMID:12466894 4 2 4.0E-5 TGTGCCAGCAGCCGGACCGGGACTAGGACAGATACGCAGTATTTT CASSRTGTRTDTQYF TRBV28 TRBD2 TRBJ2-3 10 18 25 27 1259 3112.8794 0 TRB CASSRTGSTDTQYF TRBV28 TRBJ2-3 HomoSapiens HLA-DRA*01 HLA-DRB1*01 MHCII PKYVKQNTLKLAT HA InfluenzaA PMID:22314361 3 2 4.0E-5 TGTGCCAGCACCCCCGGGACAGGGACCTACGAGCAGTACTTC CASTPGTGTYEQYF TRBV12-4 TRBD1 TRBJ2-7 9 15 23 25 1797 3294.0645 0 TRB CASSPGTGSYEQYF TRBV5-1 TRBJ2-7 HomoSapiens HLA-B*08:01 B2M MHCI RAKFKQLL BZLF1 EBV PMID:24512815 4 2 4.0E-5 TGTGCCAGCAGCCCCCGTACCGGGACAGGGCACCACGAGCAGTACTTC CASSPRTGTGHHEQYF TRBV7-9 TRBD1 TRBJ2-7 11 21 29 34 1368 3206.825 0 TRB CASSPLTGTGHYGYTF TRBV6-1,TRBV6-5 TRBD1*01 TRBJ1-2*01 HomoSapiens HLA-A*02:01 B2M MHCI NLVPMVATV p65 CMV PMID:21555537 2 2 4.0E-5 TGTGCCAGCAGCCCCCGTACCGGGACAGGGCACCACGAGCAGTACTTC CASSPRTGTGHHEQYF TRBV7-9 TRBD1 TRBJ2-7 11 21 29 34 1368 3172.6755 0 TRB CASSPTTGTGHYGYTF TRBV6-5 TRBJ1-2 HomoSapiens HLA-A*02:01 B2M MHCI NLVPMVATV p65 CMV PMID:24512815 4 2 4.0E-5 TGTGCCAGCAGCCAAGACGGGCTAGCGGCTTACAATGAGCAGTTCTTC CASSQDGLAAYNEQFF TRBV4-2 TRBD2 TRBJ2-1 16 21 27 30 914 2876.2412 0 TRB CASSQAGLAAYNEQFF TRBV4-2 TRBJ2-1 HomoSapiens HLA-A*02:01 B2M MHCI GLCTLVAML BMLF1 EBV PMID:12504586 3 2 4.0E-5 TGTGCCAGCAGCCCCTCCGGGGCCAACGTCCTGACTTTC CASSPSGANVLTF TRBV11-2 TRBD1 TRBJ2-6 11 12 13 14 1514 3423.2134 0 TRB CASSPSGANVLTF TRBV27 TRBJ2-6*01 HomoSapiens HLA-B*08:01 B2M MHCI RAKFKQLL BZLF1 EBV PMID:21555537 2 2 4.0E-5 TGTGCCAGCAGCCAACGGGCAGGGGGCACAGATACGCAGTATTTT CASSQRAGGTDTQYF TRBV7-9 TRBD1 TRBJ2-3 11 19 24 25 1305 2845.8435 280 TRB CASSRLAGGTDTQYF TRBV7-3*01 TRBD2*02 TRBJ2-3*01 HomoSapiens HLA-B*08 B2M MHCI QIKVRVDMV IE1 CMV PMID:23637823 4 2 4.0E-5 TGTGCCAGCACAGGAACCGGGACGGCAAATTCACCCCTCCACTTT CASTGTGTANSPLHF TRBV6-5 TRBD1 TRBJ1-6 9 18 22 27 1666 3308.5898 132,28 TRB CATGTGDSNQPQHF TRBV10-3*01,TRBV10-3 TRBJ1-5 HomoSapiens HLA-B*35:01,HLA-B*35:42:01 B2M MHCI EPLPQGQLTAY BZLF1 EBV PMID:23028307,PMID:16148129,PMID:17259989 7 2 4.0E-5 TGTGCCATCAGGACGGACAGGACCTATGGCTACACCTTC CAIRTDRTYGYTF TRBV10-3 TRBD1 TRBJ1-2 10 14 20 23 1511 2775.5676 0 TRB CAIRTRTGESYTF TRBV10-3 TRBJ1-2 HomoSapiens HLA-B*08:01 B2M MHCI HSKKKCDEL NS3 HCV PMID:21160049 2 2 4.0E-5 TGTGCCAGCAGCAGCCGGGACAGGGGAGCAGATACGCAGTATTTT CASSSRDRGADTQYF TRBV7-9 TRBD1 TRBJ2-3 11 16 25 28 1223 2997.6848 0 TRB CASSSRDRGAYEQYF TRBV7-9 TRBD1*01 TRBJ2-7*01 HomoSapiens HLA-B*07:02 B2M MHCI TPRVTGGGAM p65 CMV PMID:21555537 2 2 4.0E-5 TGTGCCAGCAGACCCGGGACTAGCGGCGGGCGGGATACGCAGTATTTT CASRPGTSGGRDTQYF TRBV5-4 TRBD2 TRBJ2-3 10 15 25 33 1025 3067.9792 0 TRB CASSPGTSGGGDEETQYF TRBV12-3 TRBJ2-5 HomoSapiens HLA-B*08:01 B2M MHCI RAKFKQLL BZLF1 EBV PMID:23267020,PMID:24512815 4 2 4.0E-5 TGTGCCAGCAGACCCGGGACTAGCGGCGGGCGGGATACGCAGTATTTT CASRPGTSGGRDTQYF TRBV5-4 TRBD2 TRBJ2-3 10 15 25 33 1025 2848.2224 40,41 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:01:48 B2M MHCI LLFGPVYV TAX HTLV-1 PMID:19698083 7 2 4.0E-5 TGTGCCAGCAGACCCGGGACTAGCGGCGGGCGGGATACGCAGTATTTT CASRPGTSGGRDTQYF TRBV5-4 TRBD2 TRBJ2-3 10 15 25 33 1025 2848.2224 25 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:01:48 B2M MHCI LLFGKPVYV TAX HTLV-1 PMID:16962135 7 2 4.0E-5 TGTGCCAGCAGACCCGGGACTAGCGGCGGGCGGGATACGCAGTATTTT CASRPGTSGGRDTQYF TRBV5-4 TRBD2 TRBJ2-3 10 15 25 33 1025 2848.2224 1 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:01:59 B2M MHCI LLFGYPVYV TAX HTLV-1 PMID:8906788 7 2 4.0E-5 TGTGCCAGCAGACCCGGGACTAGCGGCGGGCGGGATACGCAGTATTTT CASRPGTSGGRDTQYF TRBV5-4 TRBD2 TRBJ2-3 10 15 25 33 1025 2848.2224 56 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:01:48 B2M MHCI LGYGFVNYI ELAVL4 HomoSapiens PMID:21282516 7 2 4.0E-5 TGTGCCAGCAGACCCGGGACTAGCGGCGGGCGGGATACGCAGTATTTT CASRPGTSGGRDTQYF TRBV5-4 TRBD2 TRBJ2-3 10 15 25 33 1025 2848.2224 45 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:01:48 B2M MHCI MLWGYLQYV Tel1 SaccharomycesCerevisiae PMID:20064447 7 2 4.0E-5 TGTGCCAGCAGACCCGGGACTAGCGGCGGGCGGGATACGCAGTATTTT CASRPGTSGGRDTQYF TRBV5-4 TRBD2 TRBJ2-3 10 15 25 33 1025 2848.2224 14 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:01:59 B2M MHCI LLFGYPRYV TAX HTLV-1 PMID:10435578 7 2 4.0E-5 TGTGCCAGCAGACCCGGGACTAGCGGCGGGCGGGATACGCAGTATTTT CASRPGTSGGRDTQYF TRBV5-4 TRBD2 TRBJ2-3 10 15 25 33 1025 2848.2224 13 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:01:59 B2M MHCI LLFGYAVYV TAX HTLV-1 PMID:10435578 7 2 4.0E-5 TGTGCCAGCAGACCCGGGACTAGCGGCGGGCGGGATACGCAGTATTTT CASRPGTSGGRDTQYF TRBV5-4 TRBD2 TRBJ2-3 10 15 25 33 1025 2848.2224 61 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:01:48 B2M MHCI LLFGFPVYV TAX HTLV-1 PMID:22019736 7 2 4.0E-5 TGTGCCAGCAGACCCGGGACTAGCGGCGGGCGGGATACGCAGTATTTT CASRPGTSGGRDTQYF TRBV5-4 TRBD2 TRBJ2-3 10 15 25 33 1025 2848.2224 15 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:256 B2M MHCI LLFGYPVAV TAX HTLV-1 PMID:10435578 7 2 4.0E-5 TGTGCCAGCAGCCGAACAGGGGATACGCAGTATTTT CASSRTGDTQYF TRBV6-6 TRBD1 TRBJ2-3 14 15 20 21 1709 2898.1992 122,81 TRB CASSRTGSTYEQYF TRBV5-6*01,TRBV5-6 TRBJ2-3*01,TRBJ2-7 HomoSapiens HLA-B*35:08,HLA-B*35:08:01 B2M MHCI LPEPLPQGQLTAY BZLF1 EBV PMID:15849183,PMID:23569211 7 2 4.0E-5 TGCAGTGCTAGATCATTGAGGGTTGGCGAGACCCAGTACTTC CSARSLRVGETQYF TRBV20-1 TRBD2 TRBJ2-5 11 17 21 27 942 2771.8035 0 TRB CSARSRVGNTIYF TRBV20-1 TRBJ1-3 HomoSapiens HLA-A*02:01 B2M MHCI GLCTLVAML BMLF1 EBV PMID:24512815 4 2 4.0E-5 TGCGCCAGCAGTCCCGGGACAGGGTCTTATGGCTACACCTTC CASSPGTGSYGYTF TRBV4-3 TRBD1 TRBJ1-2 10 15 23 27 1173 3162.8967 0 TRB CASSPGTGSYEQYF TRBV5-1 TRBJ2-7 HomoSapiens HLA-B*08:01 B2M MHCI RAKFKQLL BZLF1 EBV PMID:24512815 4 2 4.0E-5 TGTGCCAGCAGCCCCCTAGCGGGAGGTGGAGATACGCAGTATTTT CASSPLAGGGDTQYF TRBV6-4 TRBD2 TRBJ2-3 10 15 25 29 1098 3037.054 0 TRB CASSPLAGVGETQYF TRBV12-3,TRBV12-4 TRBD2*01 TRBJ2-5*01 HomoSapiens HLA-B*08:01 B2M MHCI RAKFKQLL BZLF1 EBV PMID:21555537 2 2 4.0E-5 TGTGCCAGCAGTTCCGCTAACTATGGCTACACCTTC CASSSANYGYTF TRBV12-4 TRBD2 TRBJ1-2 12 13 15 16 1082 3375.7773 145,146,148,194 TRB CASSSANYGYTF TRBV12-4*01,TRBV8, TRBV12-3,TRBV12-4 TRBD2,TRBD1,TRBD2 TRBJ1-2*01,TRBJ1-2,TRBJ1 HomoSapiens HLA-A*02:01 B2M MHCI NLVPMVATV p65 CMV PMID:16237109,PMID:19017975,PMID:24711416,PMID:19864595 4 2 4.0E-5 TGTGCCAGCAGTTCCGCTAACTATGGCTACACCTTC CASSSANYGYTF TRBV12-4 TRBD2 TRBJ1-2 12 13 15 16 1082 2847.4858 0 TRB CASSSANYGYTFGS HomoSapiens HLA-A*02:01 B2M MHCI NLVPMVATV p65 CMV PMID:19014475 4 2 4.0E-5 TGTGCCAGCAGTTCCGCTAACTATGGCTACACCTTC CASSSANYGYTF TRBV12-4 TRBD2 TRBJ1-2 12 13 15 16 1082 2847.4858 0 TRB CASSSANYGYTFGQ HomoSapiens HLA-A*02:01 B2M MHCI NLVPMVATV p65 CMV PMID:19014475 3 2 4.0E-5 TGTGCCACCAGCAGAGACACAGATACGCAGTATTTT CATSRDTDTQYF TRBV15 TRBD2 TRBJ2-3 11 13 15 17 1287 2846.079 0 TRB CATRSTDTQYF TRBV15 TRBJ2-3*01 HomoSapiens HLA-B*07:02 B2M MHCI GPGHKARVL p24 CMV PMID:21555537 2 2 4.0E-5 TGCAGCGTGACCCTTGGGGGGAGGTACGAGCAGTACTTC CSVTLGGRYEQYF TRBV29-1 TRBD2 TRBJ2-7 7 18 23 24 1705 3323.866 0 TRB CSVTGGGRTYEQYF TRBV29-1 TRBD2*01 TRBJ2-1*01 HomoSapiens HLA-B*07:02 B2M MHCI GPGHKARVL p24 CMV PMID:21555537 2 2 4.0E-5 TGTGCCAGCAGACCTAGCGGGGCTCAAGAGGAGCAGTTCTTC CASRPSGAQEEQFF TRBV6-3 TRBD2 TRBJ2-1 10 13 21 30 1506 2885.6934 259 TRB CASRPQGANEKLFF TRBV27 HomoSapiens HLA-B*07:02 B2M MHCI RPRGEVRFL VP22 HSV-2 PMID:20139278 4 2 4.0E-5 TGTGCCAGCAGCTCAGCTAACTATGGCTACACCTTC CASSSANYGYTF TRBV12-4 TRBD1 TRBJ1-2 10 13 15 16 927 3375.7773 145,146,148,194 TRB CASSSANYGYTF TRBV12-4*01,TRBV8, TRBV12-3,TRBV12-4 TRBD2,TRBD1,TRBD2 TRBJ1-2*01,TRBJ1-2,TRBJ1 HomoSapiens HLA-A*02:01 B2M MHCI NLVPMVATV p65 CMV PMID:16237109,PMID:19017975,PMID:24711416,PMID:19864595 4 2 4.0E-5 TGTGCCAGCAGCTCAGCTAACTATGGCTACACCTTC CASSSANYGYTF TRBV12-4 TRBD1 TRBJ1-2 10 13 15 16 927 2847.4858 0 TRB CASSSANYGYTFGS HomoSapiens HLA-A*02:01 B2M MHCI NLVPMVATV p65 CMV PMID:19014475 4 2 4.0E-5 TGTGCCAGCAGCTCAGCTAACTATGGCTACACCTTC CASSSANYGYTF TRBV12-4 TRBD1 TRBJ1-2 10 13 15 16 927 2847.4858 0 TRB CASSSANYGYTFGQ HomoSapiens HLA-A*02:01 B2M MHCI NLVPMVATV p65 CMV PMID:19014475 3 2 4.0E-5 TGTGCCAGCAGTTACGGGACAGCCTACGAGCAGTACTTC CASSYGTAYEQYF TRBV6-3 TRBD1 TRBJ2-7 14 15 21 22 1421 2877.4917 0 TRB CASSYATAYEQYF TRBV6-2/TRBV6-3 TRBJ2-7 HomoSapiens HLA-B*35:01 B2M MHCI IPSINVHHY p65 CMV PMID:24512815 4 2 4.0E-5 TGTGCCAGCAGCCCTACAGGGGGATACTACGAGCAGTACTTC CASSPTGGYYEQYF TRBV12-4 TRBD1 TRBJ2-7 10 15 22 26 1687 2806.3662 67 TRB CASSPTSGIYEQYF TRBV4-1*01 TRBJ2-3*01 HomoSapiens HLA-A*24:02:84 B2M MHCI RFPLTFGWCF Nef HIV-1 PMID:24192765 7 2 4.0E-5 TGTGCCAGCAGCCCCTGGACAGGGTCAAACTATGGCTACACCTTC CASSPWTGSNYGYTF TRBV7-2 TRBD1 TRBJ1-2 11 16 23 27 996 2890.5303 0 TRB CASSPTTGTGNYGYTF TRBJ1-2*01 HomoSapiens HLA-A*02:01 B2M MHCI NLVPMVATV p65 CMV PMID:24069285 2 2 4.0E-5 TGCAGTGCTTCCCCCGGGCTAGCGGGAGGCCCGGAGCAGTACTTC CSASPGLAGGPEQYF TRBV20-1 TRBD2 TRBJ2-7 8 18 28 33 949 2795.1877 40,41 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:01:48 B2M MHCI LLFGPVYV TAX HTLV-1 PMID:19698083 7 2 4.0E-5 TGCAGTGCTTCCCCCGGGCTAGCGGGAGGCCCGGAGCAGTACTTC CSASPGLAGGPEQYF TRBV20-1 TRBD2 TRBJ2-7 8 18 28 33 949 2795.1877 25 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:01:48 B2M MHCI LLFGKPVYV TAX HTLV-1 PMID:16962135 7 2 4.0E-5 TGCAGTGCTTCCCCCGGGCTAGCGGGAGGCCCGGAGCAGTACTTC CSASPGLAGGPEQYF TRBV20-1 TRBD2 TRBJ2-7 8 18 28 33 949 2795.1877 1 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:01:59 B2M MHCI LLFGYPVYV TAX HTLV-1 PMID:8906788 7 2 4.0E-5 TGCAGTGCTTCCCCCGGGCTAGCGGGAGGCCCGGAGCAGTACTTC CSASPGLAGGPEQYF TRBV20-1 TRBD2 TRBJ2-7 8 18 28 33 949 2795.1877 56 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:01:48 B2M MHCI LGYGFVNYI ELAVL4 HomoSapiens PMID:21282516 7 2 4.0E-5 TGCAGTGCTTCCCCCGGGCTAGCGGGAGGCCCGGAGCAGTACTTC CSASPGLAGGPEQYF TRBV20-1 TRBD2 TRBJ2-7 8 18 28 33 949 2795.1877 45 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:01:48 B2M MHCI MLWGYLQYV Tel1 SaccharomycesCerevisiae PMID:20064447 7 2 4.0E-5 TGCAGTGCTTCCCCCGGGCTAGCGGGAGGCCCGGAGCAGTACTTC CSASPGLAGGPEQYF TRBV20-1 TRBD2 TRBJ2-7 8 18 28 33 949 2795.1877 14 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:01:59 B2M MHCI LLFGYPRYV TAX HTLV-1 PMID:10435578 7 2 4.0E-5 TGCAGTGCTTCCCCCGGGCTAGCGGGAGGCCCGGAGCAGTACTTC CSASPGLAGGPEQYF TRBV20-1 TRBD2 TRBJ2-7 8 18 28 33 949 2795.1877 13 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:01:59 B2M MHCI LLFGYAVYV TAX HTLV-1 PMID:10435578 7 2 4.0E-5 TGCAGTGCTTCCCCCGGGCTAGCGGGAGGCCCGGAGCAGTACTTC CSASPGLAGGPEQYF TRBV20-1 TRBD2 TRBJ2-7 8 18 28 33 949 2795.1877 61 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:01:48 B2M MHCI LLFGFPVYV TAX HTLV-1 PMID:22019736 7 2 4.0E-5 TGCAGTGCTTCCCCCGGGCTAGCGGGAGGCCCGGAGCAGTACTTC CSASPGLAGGPEQYF TRBV20-1 TRBD2 TRBJ2-7 8 18 28 33 949 2795.1877 15 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:256 B2M MHCI LLFGYPVAV TAX HTLV-1 PMID:10435578 7 2 4.0E-5 TGTGCCAGCACCCAGTATGGGTCCGATACGCAGTATTTT CASTQYGSDTQYF TRBV5-8 TRBD1 TRBJ2-3 9 20 23 24 1564 2802.4202 0 TRB CATTQYGTDTQYF TRBV15 TRBJ2-3 HomoSapiens HLA-B*08:01 B2M MHCI RAKFKQLL BZLF1 EBV PMID:23267020,PMID:24512815 4 2 4.0E-5 TGCAGTGCTAGAGGGGAGACAGGGGGCTACAATGAGCAGTTCTTC CSARGETGGYNEQFF TRBV20-1 TRBD1 TRBJ2-1 12 17 25 26 1225 2881.1946 0 TRB CSARGEGGSYNEQFF TRBV20-1 TRBJ2-1 HomoSapiens HLA-B*57:01 B2M MHCI VSFIEFVGW EBNA3B EBV PMID:23267020 2 2 4.0E-5 TGCAGCGTGGGACAGGGTGGTTACGAGCAGTACTTC CSVGQGGYEQYF TRBV29-1 TRBD1 TRBJ2-7 7 8 16 21 1476 2995.06 0 TRB CSVGAGEGYEQYF TRBV29-1 TRBD2*02 TRBJ2-7*01 HomoSapiens HLA-B*08:01 B2M MHCI RAKFKQLL BZLF1 EBV PMID:21555537 2 2 4.0E-5 TGCAGCGTGGGACAGGGTGGTTACGAGCAGTACTTC CSVGQGGYEQYF TRBV29-1 TRBD1 TRBJ2-7 7 8 16 21 1476 2794.5024 0 TRB CSVGAGDYEQYF TRBV29-1 TRBD2*01 TRBJ2-1*01,TRBJ2-7 HomoSapiens HLA-B*08:01 B2M MHCI RAKFKQLL BZLF1 EBV PMID:23267020,PMID:21555537,PMID:24512815 4 2 4.0E-5 TGCAGTGCTAGAGATCCCGGGACAGGGGAATATGGCTACACCTTC CSARDPGTGEYGYTF TRBV20-1 TRBD1 TRBJ1-2 13 18 27 30 967 2888.8096 54 TRB CSARDGTGNGYTF TRBV20-1,TRBV20-1*01 TRBD1*01 TRBJ1-2*01,TRBJ1-2 HomoSapiens HLA-A*02:01,HLA-A*02:01:48,HLA-A*02 B2M MHCI GLCTLVAML BMLF1 EBV PMID:12504586,PMID:23267020,PMID:19017975,PMID:21124993,PMID:21555537,PMID:10925283 7 2 4.0E-5 TGTGCCAGCAGCCCCGGCGCAGCGGGAGGGCGGACAGATACGCAGTATTTT CASSPGAAGGRTDTQYF TRBV7-9 TRBD2 TRBJ2-3 11 20 29 33 1778 2935.5505 40,41 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:01:48 B2M MHCI LLFGPVYV TAX HTLV-1 PMID:19698083 7 2 4.0E-5 TGTGCCAGCAGCCCCGGCGCAGCGGGAGGGCGGACAGATACGCAGTATTTT CASSPGAAGGRTDTQYF TRBV7-9 TRBD2 TRBJ2-3 11 20 29 33 1778 2935.5505 25 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:01:48 B2M MHCI LLFGKPVYV TAX HTLV-1 PMID:16962135 7 2 4.0E-5 TGTGCCAGCAGCCCCGGCGCAGCGGGAGGGCGGACAGATACGCAGTATTTT CASSPGAAGGRTDTQYF TRBV7-9 TRBD2 TRBJ2-3 11 20 29 33 1778 2935.5505 1 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:01:59 B2M MHCI LLFGYPVYV TAX HTLV-1 PMID:8906788 7 2 4.0E-5 TGTGCCAGCAGCCCCGGCGCAGCGGGAGGGCGGACAGATACGCAGTATTTT CASSPGAAGGRTDTQYF TRBV7-9 TRBD2 TRBJ2-3 11 20 29 33 1778 2935.5505 56 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:01:48 B2M MHCI LGYGFVNYI ELAVL4 HomoSapiens PMID:21282516 7 2 4.0E-5 TGTGCCAGCAGCCCCGGCGCAGCGGGAGGGCGGACAGATACGCAGTATTTT CASSPGAAGGRTDTQYF TRBV7-9 TRBD2 TRBJ2-3 11 20 29 33 1778 2935.5505 45 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:01:48 B2M MHCI MLWGYLQYV Tel1 SaccharomycesCerevisiae PMID:20064447 7 2 4.0E-5 TGTGCCAGCAGCCCCGGCGCAGCGGGAGGGCGGACAGATACGCAGTATTTT CASSPGAAGGRTDTQYF TRBV7-9 TRBD2 TRBJ2-3 11 20 29 33 1778 2935.5505 14 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:01:59 B2M MHCI LLFGYPRYV TAX HTLV-1 PMID:10435578 7 2 4.0E-5 TGTGCCAGCAGCCCCGGCGCAGCGGGAGGGCGGACAGATACGCAGTATTTT CASSPGAAGGRTDTQYF TRBV7-9 TRBD2 TRBJ2-3 11 20 29 33 1778 2935.5505 13 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:01:59 B2M MHCI LLFGYAVYV TAX HTLV-1 PMID:10435578 7 2 4.0E-5 TGTGCCAGCAGCCCCGGCGCAGCGGGAGGGCGGACAGATACGCAGTATTTT CASSPGAAGGRTDTQYF TRBV7-9 TRBD2 TRBJ2-3 11 20 29 33 1778 2935.5505 61 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:01:48 B2M MHCI LLFGFPVYV TAX HTLV-1 PMID:22019736 7 2 4.0E-5 TGTGCCAGCAGCCCCGGCGCAGCGGGAGGGCGGACAGATACGCAGTATTTT CASSPGAAGGRTDTQYF TRBV7-9 TRBD2 TRBJ2-3 11 20 29 33 1778 2935.5505 15 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:256 B2M MHCI LLFGYPVAV TAX HTLV-1 PMID:10435578 7 1 2.0E-5 TGCAGTGCTAGAGATAGGGTCTCCTACGAGCAGTACTTC CSARDRVSYEQYF TRBV20-1 TRBD1 TRBJ2-7 13 15 18 20 5666 2738.557 0 TRB CSARDRVGNTIYF TRBV20-1 TRBD1*01 TRBJ2-3*01,TRBJ1-3 HomoSapiens HLA-A*02:01,HLA-A*02 B2M MHCI GLCTLVAML BMLF1 EBV PMID:12504586,PMID:23267020,PMID:19017975,PMID:21555537,PMID:10925283 5 1 2.0E-5 TGCAGCGTTGGGGGGACGTACGAGCAGTACTTC CSVGGTYEQYF TRBV29-1 TRBD1 TRBJ2-7 9 12 16 18 5888 3218.2703 0 TRB CSVGGAYEQYF TRBV29-1 TRBJ2-7 HomoSapiens HLA-B*07:02 B2M MHCI RPPIFIRRL EBNA3A EBV PMID:23267020 4 1 2.0E-5 TGCAGCGTTGGGGGGACGTACGAGCAGTACTTC CSVGGTYEQYF TRBV29-1 TRBD1 TRBJ2-7 9 12 16 18 5888 3218.2703 0 TRB CSVGGAYEQYF TRBV29-1 TRBJ2-7 HomoSapiens HLA-B*07:02 B2M MHCI RPPIFIRRL EBNA3a EBV PMID:24512815 4 1 2.0E-5 TGCAGCGTTGGGGGGACGTACGAGCAGTACTTC CSVGGTYEQYF TRBV29-1 TRBD1 TRBJ2-7 9 12 16 18 5888 2977.498 0 TRB CSVGGTLDTQYF TRBV29-1 TRBJ2-3 HomoSapiens HLA-A*02:01 B2M MHCI NLVPMVATV p65 CMV PMID:19017975 2 1 2.0E-5 TGTGCCAGCAGCGACGGGGGGGGCGCAAACTATGGCTACACCTTC CASSDGGGANYGYTF TRBV6-6 TRBD2 TRBJ1-2 10 14 21 27 5100 2985.512 0 TRB CASSWGGGSNYGYTF TRBV11-2 TRBJ1-2 HomoSapiens HLA-A*11:01 B2M MHCI IVTDFSVIK EBNA3B EBV PMID:23267020 2 1 2.0E-5 TGTGCCAGCAGCGTTGGGACAGGGGGGAACTATGGCTACACCTTC CASSVGTGGNYGYTF TRBV5-5 TRBD1 TRBJ1-2 11 15 25 27 7244 3329.6028 0 TRB CSVGQGGNYGYTF TRBV29-1 TRBD1*01 TRBJ1-2*01 HomoSapiens HLA-B*08:01 B2M MHCI RAKFKQLL BZLF1 EBV PMID:21555537 2 1 2.0E-5 TGTGCCAGCAGCGTTGGGACAGGGGGGAACTATGGCTACACCTTC CASSVGTGGNYGYTF TRBV5-5 TRBD1 TRBJ1-2 11 15 25 27 7244 3328.9106 0 TRB CASSQGTGGGYGYTF TRBV4-2 TRBJ1-2 HomoSapiens HLA-B*08:01 B2M MHCI RAKFKQLL BZLF1 EBV PMID:24512815 4 1 2.0E-5 TGTGCCAGCAGCCAACGGGACAGGGGATCGGCCTACGAGCAGTACTTC CASSQRDRGSAYEQYF TRBV7-2 TRBD1 TRBJ2-7 11 16 25 31 6564 2759.2295 0 TRB CASSSRDRGAYEQYF TRBV7-9 TRBD1*01 TRBJ2-7*01 HomoSapiens HLA-B*07:02 B2M MHCI TPRVTGGGAM p65 CMV PMID:21555537 2 1 2.0E-5 TGTGCCATCAGTGAGGTCCACGAGCAGTACTTC CAISEVHEQYF TRBV10-3 TRBD1 TRBJ2-7 14 15 18 19 5838 2751.5706 0 TRB CAISEVQETQYF TRBV10-3 TRBJ2-5 HomoSapiens HLA-B*08:01 B2M MHCI HSKKKCDEL NS3 HCV PMID:21160049 2 1 2.0E-5 TGTGCCAGCAGCTTGGGCACTAACTATGGCTACACCTTC CASSLGTNYGYTF TRBV5-6 TRBD1 TRBJ1-2 15 17 18 19 8583 2754.9226 0 TRB CASSPGQTNYGYTF TRBV7-9 TRBJ1-2 HomoSapiens HLA-B*57 B2M MHCI KAFSPEVIPMF Gag HIV-1 PMID:21562156 2 1 2.0E-5 TGTGCCAGCACAGGAACCGGGACGGCAAATTCACCCCCCCACTTT CASTGTGTANSPPHF TRBV6-5 TRBD1 TRBJ1-6 9 18 22 27 6887 3148.3655 132,28 TRB CATGTGDSNQPQHF TRBV10-3*01,TRBV10-3 TRBJ1-5 HomoSapiens HLA-B*35:01,HLA-B*35:42:01 B2M MHCI EPLPQGQLTAY BZLF1 EBV PMID:23028307,PMID:16148129,PMID:17259989 7 1 2.0E-5 TGCGCCAGCAGGGTCCCCGGGACAGGGGGCAACGAGCAGTACTTC CASRVPGTGGNEQYF TRBV5-1 TRBD1 TRBJ2-7 10 18 29 31 7441 2859.7769 0 TRB CASRVGTGNLYEQYF TRBV27 TRBJ2-7 HomoSapiens HLA-B*07:02 B2M MHCI TPRVTGGGAM p65 CMV PMID:23267020,PMID:24512815 5 1 2.0E-5 TGCGCCAGCAGGGTCCCCGGGACAGGGGGCAACGAGCAGTACTTC CASRVPGTGGNEQYF TRBV5-1 TRBD1 TRBJ2-7 10 18 29 31 7441 2837.4756 0 TRB CAWVPGTGGTEAFF TRBV30 TRBD1 TRBJ1-1 HomoSapiens HLA-A*02:01 B2M MHCI NLVPMVATV p65 CMV PMID:24711416 2 1 2.0E-5 TGTGCCAGCAGCCGGGGGACTAGCGGGAGAGGAGTTAGGGAGACCCAGTACTTC CASSRGTSGRGVRETQYF TRBV12-4 TRBD2 TRBJ2-5 10 15 28 39 6020 2793.8105 0 TRB CASSPGTSGGGDEETQYF TRBV12-3 TRBJ2-5 HomoSapiens HLA-B*08:01 B2M MHCI RAKFKQLL BZLF1 EBV PMID:23267020,PMID:24512815 4 1 2.0E-5 TGTGCCAGCAGTGGGGTTGGGTATGGCTACACCTTC CASSGVGYGYTF TRBV2 TRBD1 TRBJ1-2 12 18 20 21 2230 3056.974 0 TRB CASSGQGYGYTF TRBV19 TRBJ1-2 HomoSapiens HLA-B*57 B2M MHCI KAFSPEVIPMF Gag HIV-1 PMID:17287271 2 1 2.0E-5 TGTGCCAGCAGTTATTCCGGGACAGGGCCCTACGAGCAGTACTTC CASSYSGTGPYEQYF TRBV2 TRBD1 TRBJ2-7 11 18 26 28 3720 2888.2905 0 TRB CASSPFGTGPYEQYF TRBV7-3 TRBJ2-7 HomoSapiens HLA-A*01:01 B2M MHCI ATDALMTGY NS3 HCV PMID:21160049 2 1 2.0E-5 TGTGCCAGCAGCCAAGAAAGGGGCTCTGGGGCCAACGTCCTGACTTTC CASSQERGSGANVLTF TRBV4-2 TRBD1 TRBJ2-6 16 18 22 23 3370 2848.1362 0 TRB CASSLGRGSGANVLTF TRBV6-3,TRBV6-1,TRBV6-2,TRBV6-5,TRBV6-6 TRBD1*01 TRBJ2-6*01 HomoSapiens HLA-A*02:01 B2M MHCI SLYNTVATL p17 CMV PMID:21555537 2 1 2.0E-5 TGTGCCAGCAGTTTAGTAACAGGGACAGGCTTCTATGGCTACACCTTC CASSLVTGTGFYGYTF TRBV6-5 TRBD1 TRBJ1-2 12 21 28 32 2876 4290.2295 0 TRB CASSLVTGTGKYGYTF TRBV6-5 TRBJ1-2 HomoSapiens HLA-A*02:01 B2M MHCI NLVPMVATV p65 CMV PMID:23267020,PMID:24512815 4 1 2.0E-5 TGTGCCAGCAGTTTAGTAACAGGGACAGGCTTCTATGGCTACACCTTC CASSLVTGTGFYGYTF TRBV6-5 TRBD1 TRBJ1-2 12 21 28 32 2876 4043.7332 140 TRB CASSYVTGTGSYGYTGF TRBV13 TRBJ1 HomoSapiens HLA-A*02:01 B2M MHCI NLVPMVATV p65 CMV PMID:16237109 4 1 2.0E-5 TGTGCCAGCAGTTTAGTAACAGGGACAGGCTTCTATGGCTACACCTTC CASSLVTGTGFYGYTF TRBV6-5 TRBD1 TRBJ1-2 12 21 28 32 2876 3612.2249 0 TRB CASSLTTGTGSYGYTF TRBV6-5 TRBJ1-2 HomoSapiens HLA-A*02:01 B2M MHCI NLVPMVATV p65 CMV PMID:19017975 2 1 2.0E-5 TGTGCCAGCAGTTTAGTAACAGGGACAGGCTTCTATGGCTACACCTTC CASSLVTGTGFYGYTF TRBV6-5 TRBD1 TRBJ1-2 12 21 28 32 2876 3096.1648 0 TRB CASSPTTGTGHYGYTF TRBV6-5 TRBJ1-2 HomoSapiens HLA-A*02:01 B2M MHCI NLVPMVATV p65 CMV PMID:24512815 4 1 2.0E-5 TGTGCCAGCAGTTTAGTAACAGGGACAGGCTTCTATGGCTACACCTTC CASSLVTGTGFYGYTF TRBV6-5 TRBD1 TRBJ1-2 12 21 28 32 2876 3057.2727 0 TRB CASSPTTGTGNYGYTF TRBJ1-2*01 HomoSapiens HLA-A*02:01 B2M MHCI NLVPMVATV p65 CMV PMID:24069285 2 1 2.0E-5 TGTGCCAGCAGTTTAGTAACAGGGACAGGCTTCTATGGCTACACCTTC CASSLVTGTGFYGYTF TRBV6-5 TRBD1 TRBJ1-2 12 21 28 32 2876 2975.416 0 TRB CASTPQTGTGTYGYTF TRBV6-1,TRBV6-5 TRBD1*01 TRBJ1-2*01 HomoSapiens HLA-A*02:01 B2M MHCI NLVPMVATV p65 CMV PMID:21555537 2 1 2.0E-5 TGTGCCAGCAGTTTAGTAACAGGGACAGGCTTCTATGGCTACACCTTC CASSLVTGTGFYGYTF TRBV6-5 TRBD1 TRBJ1-2 12 21 28 32 2876 2913.1594 0 TRB CASSPLTGTGHYGYTF TRBV6-1,TRBV6-5 TRBD1*01 TRBJ1-2*01 HomoSapiens HLA-A*02:01 B2M MHCI NLVPMVATV p65 CMV PMID:21555537 2 1 2.0E-5 TGTGCCAGCAGTTTAGTAACAGGGACAGGCTTCTATGGCTACACCTTC CASSLVTGTGFYGYTF TRBV6-5 TRBD1 TRBJ1-2 12 21 28 32 2876 2835.3752 0 TRB CASSPLTGTGVYGYTF TRBJ1-2*01 HomoSapiens HLA-A*02:01 B2M MHCI NLVPMVATV p65 CMV PMID:24069285 5 1 2.0E-5 TGTGCCAGCAGTGACGGGACAGCCTACGAGCAGTACTTC CASSDGTAYEQYF TRBV6-3 TRBD1 TRBJ2-7 11 15 21 22 8563 3421.907 0 TRB CASSDGTAYEQYF TRBV2 TRBJ2-7 HomoSapiens HLA-B*18 B2M MHCI ELKRKMIYM IE1 CMV PMID:10756006 4 1 2.0E-5 TGTGCCAGCTCACCAGGGACGGGTAAAAAAGAGACCCAGTACTTC CASSPGTGKKETQYF TRBV18 TRBD1 TRBJ2-5 14 15 19 28 3084 2879.4187 0 TRB CASSPGTLKETQYF TRBV12-3,TRBV12-4 TRBD2*01 TRBJ2-5*01 HomoSapiens HLA-A*02:01 B2M MHCI NLVPMVATV p65 CMV PMID:21555537 2 1 2.0E-5 TGCAGCGCCCGAGTCCAGACGGGGAACTATGGCTACACCTTC CSARVQTGNYGYTF TRBV29-1 TRBD2 TRBJ1-2 7 11 15 24 8341 3582.5647 0 TRB CSARDQTGNGYTF TRBV20-1 TRBJ1-2 HomoSapiens HLA-A*02:01,HLA-A*02 B2M MHCI GLCTLVAML BMLF1 EBV PMID:23267020,PMID:19017975,PMID:10925283 2 1 2.0E-5 TGCAGCGCCCGAGTCCAGACGGGGAACTATGGCTACACCTTC CSARVQTGNYGYTF TRBV29-1 TRBD2 TRBJ1-2 7 11 15 24 8341 3449.3933 0 TRB CSARDSTGNGYTF TRBV20-1 TRBD1*01 TRBJ1-2*01,TRBJ1-2 HomoSapiens HLA-A*02:01,HLA-A*02 B2M MHCI GLCTLVAML BMLF1 EBV PMID:12504586,PMID:21555537,PMID:10925283 3 1 2.0E-5 TGCAGCGCCCGAGTCCAGACGGGGAACTATGGCTACACCTTC CSARVQTGNYGYTF TRBV29-1 TRBD2 TRBJ1-2 7 11 15 24 8341 3397.7893 0 TRB CSARDRTGNGYTF TRBV20-1 TRBD1*01 TRBJ1-2*01,TRBJ1-2 HomoSapiens HLA-A*02:01,HLA-A*02 B2M MHCI GLCTLVAML BMLF1 EBV PMID:12504586,PMID:23267020,PMID:19017975,PMID:21555537,PMID:24512815,PMID:10925283 4 1 2.0E-5 TGCAGCGCCCGAGTCCAGACGGGGAACTATGGCTACACCTTC CSARVQTGNYGYTF TRBV29-1 TRBD2 TRBJ1-2 7 11 15 24 8341 3116.3923 0 TRB CSARDRTGNTIYF TRBV20-1 TRBD1*01 TRBJ1-3*01,TRBJ1-3 HomoSapiens HLA-A*02:01 B2M MHCI GLCTLVAML BMLF1 EBV PMID:12504586,PMID:21555537 3 1 2.0E-5 TGCAGCGCCCGAGTCCAGACGGGGAACTATGGCTACACCTTC CSARVQTGNYGYTF TRBV29-1 TRBD2 TRBJ1-2 7 11 15 24 8341 2997.002 0 TRB CSARVEPGNGYTF TRBV20-1 TRBD1*01 TRBJ1-2*01 HomoSapiens HLA-A*02:01 B2M MHCI GLCTLVAML BMLF1 EBV PMID:21555537 2 1 2.0E-5 TGCAGCGCCCGAGTCCAGACGGGGAACTATGGCTACACCTTC CSARVQTGNYGYTF TRBV29-1 TRBD2 TRBJ1-2 7 11 15 24 8341 2843.102 0 TRB CSARSETGNTIYF TRBV20-1 TRBJ1-3 HomoSapiens HLA-A*02:01 B2M MHCI GLCTLVAML BMLF1 EBV PMID:23267020 2 1 2.0E-5 TGCAGCGCCCGAGTCCAGACGGGGAACTATGGCTACACCTTC CSARVQTGNYGYTF TRBV29-1 TRBD2 TRBJ1-2 7 11 15 24 8341 2825.1523 54 TRB CSARDGTGNGYTF TRBV20-1,TRBV20-1*01 TRBD1*01 TRBJ1-2*01,TRBJ1-2 HomoSapiens HLA-A*02:01,HLA-A*02:01:48,HLA-A*02 B2M MHCI GLCTLVAML BMLF1 EBV PMID:12504586,PMID:23267020,PMID:19017975,PMID:21124993,PMID:21555537,PMID:10925283 7 1 2.0E-5 TGCAGTGCTAGAGATGTTGGGACAGGCTATGGCTACACCTTC CSARDVGTGYGYTF TRBV20-1 TRBD1 TRBJ1-2 13 18 25 26 8244 3071.4058 54 TRB CSARDGTGNGYTF TRBV20-1,TRBV20-1*01 TRBD1*01 TRBJ1-2*01,TRBJ1-2 HomoSapiens HLA-A*02:01,HLA-A*02:01:48,HLA-A*02 B2M MHCI GLCTLVAML BMLF1 EBV PMID:12504586,PMID:23267020,PMID:19017975,PMID:21124993,PMID:21555537,PMID:10925283 7 1 2.0E-5 TGTGCCAGCAGTCCGGGACTAGCGGGGGGTAGCAACGAGCAGTACTTC CASSPGLAGGSNEQYF TRBV12-4 TRBD2 TRBJ2-7 11 14 28 34 4816 2928.3772 40,41 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:01:48 B2M MHCI LLFGPVYV TAX HTLV-1 PMID:19698083 7 1 2.0E-5 TGTGCCAGCAGTCCGGGACTAGCGGGGGGTAGCAACGAGCAGTACTTC CASSPGLAGGSNEQYF TRBV12-4 TRBD2 TRBJ2-7 11 14 28 34 4816 2928.3772 25 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:01:48 B2M MHCI LLFGKPVYV TAX HTLV-1 PMID:16962135 7 1 2.0E-5 TGTGCCAGCAGTCCGGGACTAGCGGGGGGTAGCAACGAGCAGTACTTC CASSPGLAGGSNEQYF TRBV12-4 TRBD2 TRBJ2-7 11 14 28 34 4816 2928.3772 1 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:01:59 B2M MHCI LLFGYPVYV TAX HTLV-1 PMID:8906788 7 1 2.0E-5 TGTGCCAGCAGTCCGGGACTAGCGGGGGGTAGCAACGAGCAGTACTTC CASSPGLAGGSNEQYF TRBV12-4 TRBD2 TRBJ2-7 11 14 28 34 4816 2928.3772 56 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:01:48 B2M MHCI LGYGFVNYI ELAVL4 HomoSapiens PMID:21282516 7 1 2.0E-5 TGTGCCAGCAGTCCGGGACTAGCGGGGGGTAGCAACGAGCAGTACTTC CASSPGLAGGSNEQYF TRBV12-4 TRBD2 TRBJ2-7 11 14 28 34 4816 2928.3772 45 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:01:48 B2M MHCI MLWGYLQYV Tel1 SaccharomycesCerevisiae PMID:20064447 7 1 2.0E-5 TGTGCCAGCAGTCCGGGACTAGCGGGGGGTAGCAACGAGCAGTACTTC CASSPGLAGGSNEQYF TRBV12-4 TRBD2 TRBJ2-7 11 14 28 34 4816 2928.3772 14 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:01:59 B2M MHCI LLFGYPRYV TAX HTLV-1 PMID:10435578 7 1 2.0E-5 TGTGCCAGCAGTCCGGGACTAGCGGGGGGTAGCAACGAGCAGTACTTC CASSPGLAGGSNEQYF TRBV12-4 TRBD2 TRBJ2-7 11 14 28 34 4816 2928.3772 13 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:01:59 B2M MHCI LLFGYAVYV TAX HTLV-1 PMID:10435578 7 1 2.0E-5 TGTGCCAGCAGTCCGGGACTAGCGGGGGGTAGCAACGAGCAGTACTTC CASSPGLAGGSNEQYF TRBV12-4 TRBD2 TRBJ2-7 11 14 28 34 4816 2928.3772 61 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:01:48 B2M MHCI LLFGFPVYV TAX HTLV-1 PMID:22019736 7 1 2.0E-5 TGTGCCAGCAGTCCGGGACTAGCGGGGGGTAGCAACGAGCAGTACTTC CASSPGLAGGSNEQYF TRBV12-4 TRBD2 TRBJ2-7 11 14 28 34 4816 2928.3772 15 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:256 B2M MHCI LLFGYPVAV TAX HTLV-1 PMID:10435578 7 1 2.0E-5 TGTGCCAGCAGCGTAGGGACAGGGGGCGACTATGGCTACACCTTC CASSVGTGGDYGYTF TRBV9 TRBD1 TRBJ1-2 15 16 26 28 7254 3032.612 0 TRB CASSQGTGGGYGYTF TRBV4-2 TRBJ1-2 HomoSapiens HLA-B*08:01 B2M MHCI RAKFKQLL BZLF1 EBV PMID:24512815 4 1 2.0E-5 TGTGCCAGCAGCGTAGGGACAGGGGGCGACTATGGCTACACCTTC CASSVGTGGDYGYTF TRBV9 TRBD1 TRBJ1-2 15 16 26 28 7254 2938.9683 0 TRB CASSVSTGEAYGYTF TRBV9 TRBD1*01 TRBJ1-2*01 HomoSapiens HLA-B*07:02 B2M MHCI GPGHKARVL p24 CMV PMID:21555537 2 1 2.0E-5 TGTGCCAGCCGAACCGGCACCTACGAGCAGTACTTC CASRTGTYEQYF TRBV28 TRBD1 TRBJ2-7 8 15 17 19 8991 2785.3926 122,81 TRB CASSRTGSTYEQYF TRBV5-6*01,TRBV5-6 TRBJ2-3*01,TRBJ2-7 HomoSapiens HLA-B*35:08,HLA-B*35:08:01 B2M MHCI LPEPLPQGQLTAY BZLF1 EBV PMID:15849183,PMID:23569211 7 1 2.0E-5 TGTGCCAGCTCACTCGGGACTACAGATACGCAGTATTTT CASSLGTTDTQYF TRBV18 TRBD2 TRBJ2-3 12 15 20 21 8451 2775.2368 0 TRB CASSQGTTDTQYF TRBV6-6 TRBJ2-3 HomoSapiens HLA-B*27 B2M MHCI KRWIILGLNK Gag HIV-1 PMID:21562156 2 1 2.0E-5 TGCAGCTCTAGGACAGGGACCACAGATACGCAGTATTTT CSSRTGTTDTQYF TRBV29-1 TRBD1 TRBJ2-3 5 10 17 20 8879 3585.616 0 TRB CASRTGTHTDTQYF TRBV28 TRBJ2-3 HomoSapiens HLA-DRA*01 HLA-DRB1*01 MHCII PKYVKQNTLKLAT HA InfluenzaA PMID:12466894 4 1 2.0E-5 TGCGCCAGCAGCCTAACGGGACAGACCTACGAGCAGTACTTC CASSLTGQTYEQYF TRBV5-1 TRBD1 TRBJ2-7 11 17 23 25 4425 2811.828 122,81 TRB CASSRTGSTYEQYF TRBV5-6*01,TRBV5-6 TRBJ2-3*01,TRBJ2-7 HomoSapiens HLA-B*35:08,HLA-B*35:08:01 B2M MHCI LPEPLPQGQLTAY BZLF1 EBV PMID:15849183,PMID:23569211 7 1 2.0E-5 TGTGCCAGCGCTCCGGGGACAGGGAGTTACAATGAGCAGTTCTTC CASAPGTGSYNEQFF TRBV6-4 TRBD1 TRBJ2-1 8 15 23 27 4947 3497.781 0 TRB CASSPGTGSYEQYF TRBV5-1 TRBJ2-7 HomoSapiens HLA-B*08:01 B2M MHCI RAKFKQLL BZLF1 EBV PMID:24512815 4 1 2.0E-5 TGTGCCATCAGACCCGGGACAGGGGGCGGCGAGCAGTACTTC CAIRPGTGGGEQYF TRBV10-3 TRBD1 TRBJ2-7 10 15 26 29 3800 3151.0056 0 TRB CASRPGQGGYEQYF TRBV27 TRBJ2-7 HomoSapiens HLA-B*57 B2M MHCI ISPRTLNAW Pol HIV-1 PMID:21562156 2 1 2.0E-5 TGTGCCAGCAGCCCCGGTGGGGGGGGGCCAAATACGCAGTATTTT CASSPGGGGPNTQYF TRBV4-2 TRBD2 TRBJ2-3 12 20 26 31 5064 2767.6987 0 TRB CASSPGGGKETQYF TRBV7-6 TRBJ2-5 HomoSapiens HLA-B*18 B2M MHCI DEEDAIAAY IE1 CMV PMID:10756006 4 1 2.0E-5 TGTGCCAGCAGCCCCGGGAGGACTGGGGCCAACGTCCTGACTTTC CASSPGRTGANVLTF TRBV11-3 TRBD2 TRBJ2-6 11 14 20 22 7168 3756.1277 0 TRB CASSPGDTGANVLTF TRBV27 TRBJ2-6 HomoSapiens HLA-A*01:01 B2M MHCI ATDALMTGY NS3 HCV PMID:21160049 2 1 2.0E-5 TGTGCCAGCAGCTCCCGGGGGGTGAGCTCCTACAATGAGCAGTTCTTC CASSSRGVSSYNEQFF TRBV7-9 TRBD2 TRBJ2-7 13 15 21 26 4844 2955.0334 0 TRB CASSLRGVSSYNEQFF TRBV7-9 TRBD2*01 TRBJ2-1*01 HomoSapiens HLA-B*07:02 B2M MHCI TPRVTGGGAM p65 CMV PMID:21555537 2 1 2.0E-5 TGTGCCAGCAGCCCCTCCGGGACAGAGTACGAGCAGTACTTC CASSPSGTEYEQYF TRBV12-4 TRBD1 TRBJ2-7 10 18 24 27 5352 3172.8281 0 TRB CASSPSGTPYEQYF TRBV2 TRBD1*01 TRBJ2-7*01 HomoSapiens HLA-B*07:02 B2M MHCI GPGHKARVL p24 CMV PMID:21555537 2 1 2.0E-5 TGTGCCAGCAGCCCCTCCGGGACAGAGTACGAGCAGTACTTC CASSPSGTEYEQYF TRBV12-4 TRBD1 TRBJ2-7 10 18 24 27 5352 3103.9797 0 TRB CASSPSGTPYERYF TRBV2 TRBD1*01 TRBJ2-7*01 HomoSapiens HLA-B*07:02 B2M MHCI GPGHKARVL p24 CMV PMID:21555537 2 1 2.0E-5 TGCAGTGCTAGAGGCGGGACAGGGAACAATGAGCAGTTCTTC CSARGGTGNNEQFF TRBV20-1 TRBD1 TRBJ2-1 12 15 23 25 8242 2745.6787 54 TRB CSARDGTGNGYTF TRBV20-1,TRBV20-1*01 TRBD1*01 TRBJ1-2*01,TRBJ1-2 HomoSapiens HLA-A*02:01,HLA-A*02:01:48,HLA-A*02 B2M MHCI GLCTLVAML BMLF1 EBV PMID:12504586,PMID:23267020,PMID:19017975,PMID:21124993,PMID:21555537,PMID:10925283 7 1 2.0E-5 TGTGCCAGCAATCCGACTAGCGGGACGTACGAGCAGTACTTC CASNPTSGTYEQYF TRBV7-2 TRBD2 TRBJ2-7 9 14 24 27 8104 2759.2075 67 TRB CASSPTSGIYEQYF TRBV4-1*01 TRBJ2-3*01 HomoSapiens HLA-A*24:02:84 B2M MHCI RFPLTFGWCF Nef HIV-1 PMID:24192765 7 1 2.0E-5 TGTGCCAGCAGCCCTCTGACAGGGGGCGTGAGCTATGGCTACACCTTC CASSPLTGGVSYGYTF TRBV7-8 TRBD1 TRBJ1-2 12 17 26 32 6502 2994.298 44 TRB CASSPVTGGIYGYTF TRBV6-5*01 HomoSapiens HLA-A*02:01:98 B2M MHCI NLVPMVATV UL83 CMV PMID:19542454 7 1 2.0E-5 TGTGCCAGCAGCCGACTAGCGGGGGGGACCTACGAGCAGTACTTC CASSRLAGGTYEQYF TRBV5-6 TRBD2 TRBJ2-7 11 13 26 28 2921 3406.5154 280 TRB CASSRLAGGTDTQYF TRBV7-3*01 TRBD2*02 TRBJ2-3*01 HomoSapiens HLA-B*08 B2M MHCI QIKVRVDMV IE1 CMV PMID:23637823 4 1 2.0E-5 TGTGCCAGCAGCCGACTAGCGGGGGGGACCTACGAGCAGTACTTC CASSRLAGGTYEQYF TRBV5-6 TRBD2 TRBJ2-7 11 13 26 28 2921 2817.1497 279 TRB CASSRLAGNTDTQYF TRBV7-3*01 TRBD2*01 TRBJ2-3*01 HomoSapiens HLA-B*08 B2M MHCI QIKVRVDMV IE1 CMV PMID:23637823 2 1 2.0E-5 TGTGCCAGCAGCCCATTAGGGGCCGGGAACACTGAAGCTTTCTTT CASSPLGAGNTEAFF TRBV14 TRBD1 TRBJ1-1 12 17 21 26 7182 2832.533 0 TRB CASSPTGAGNQPQHF TRBV7-9 TRBJ1-5 HomoSapiens HLA-B*08:01 B2M MHCI RAKFKQLL BZLF1 EBV PMID:24512815 4 1 2.0E-5 TGCGCCAGCAGCCCCGGACAGGGGGGATACGAGACCCAGTACTTC CASSPGQGGYETQYF TRBV5-1 TRBD1 TRBJ2-5 11 15 24 30 2769 2754.815 0 TRB CASRPGQGGYEQYF TRBV27 TRBJ2-7 HomoSapiens HLA-B*57 B2M MHCI ISPRTLNAW Pol HIV-1 PMID:21562156 2 1 2.0E-5 TGCGCCAGCAGCTTGACAGGGCCCACCTACGAGCAGTACTTC CASSLTGPTYEQYF TRBV5-1 TRBD1 TRBJ2-7 14 15 20 25 3496 2956.5554 0 TRB CASSLTGGTYEQYF TRBV7-2 TRBJ2-7 HomoSapiens HLA-B*07:02 B2M MHCI RPPIFIRRL EBNA3A EBV PMID:23267020 4 1 2.0E-5 TGCGCCAGCAGCTTGACAGGGCCCACCTACGAGCAGTACTTC CASSLTGPTYEQYF TRBV5-1 TRBD1 TRBJ2-7 14 15 20 25 3496 2956.5554 0 TRB CASSLTGGTYEQYF TRBV7-2 TRBJ2-7 HomoSapiens HLA-B*07:02 B2M MHCI RPPIFIRRL EBNA3a EBV PMID:24512815 4 1 2.0E-5 TGCAGCGTAGGCGGTAACTACGAGCAGTACTTC CSVGGNYEQYF TRBV29-1 TRBD2 TRBJ2-7 7 10 13 17 4025 2794.4072 0 TRB CSVGGAYEQYF TRBV29-1 TRBJ2-7 HomoSapiens HLA-B*07:02 B2M MHCI RPPIFIRRL EBNA3A EBV PMID:23267020 4 1 2.0E-5 TGCAGCGTAGGCGGTAACTACGAGCAGTACTTC CSVGGNYEQYF TRBV29-1 TRBD2 TRBJ2-7 7 10 13 17 4025 2794.4072 0 TRB CSVGGAYEQYF TRBV29-1 TRBJ2-7 HomoSapiens HLA-B*07:02 B2M MHCI RPPIFIRRL EBNA3a EBV PMID:24512815 4 1 2.0E-5 TGCAGCGTCCGGACAGGGGGCGATGGCACAGATACGCAGTATTTT CSVRTGGDGTDTQYF TRBV29-1 TRBD1 TRBJ2-3 7 10 20 25 7536 2752.4668 0 TRB CASNTGGANTDTQYF TRBV27 TRBD1*01 TRBJ2-3*01 HomoSapiens HLA-B*07:02 B2M MHCI TPRVTGGGAM p65 CMV PMID:21555537 2 1 2.0E-5 TGTGCCTGAGCTACCAGCGGGGATAAACAGATACGCAGTATTTT CA*ATSG_*TDTQYF TRBV6-5 TRBD2 TRBJ2-3 5 15 21 26 7542 2918.0742 0 TRB CAYTTSGAVTDTQYF TRBV30 TRBJ2-3 HomoSapiens HLA-DRA*01 HLA-DRB1*01 MHCII PKYVKQNTLKLAT HA InfluenzaA PMID:22314361 3 1 2.0E-5 TGTGCCATCAGTCCAGGTTCCTCTGGGGCCAACGTCCTGACTTTC CAISPGSSGANVLTF TRBV10-3 TRBD1 TRBJ2-6 11 13 16 20 6801 3176.3079 0 TRB CASSPGDTGANVLTF TRBV27 TRBJ2-6 HomoSapiens HLA-A*01:01 B2M MHCI ATDALMTGY NS3 HCV PMID:21160049 2 1 2.0E-5 TGTGCCAGCAGCTTAATAGGGGCTGGGGCCAACGTCCTGACTTTC CASSLIGAGANVLTF TRBV7-9 TRBD1 TRBJ2-6 14 17 21 22 7101 2748.0586 0 TRB CASSLAGDGANVLTF TRBV5-1 TRBD1*01 TRBJ2-6*01 HomoSapiens HLA-B*07:02 B2M MHCI GPGHKARVL p24 CMV PMID:21555537 2 1 2.0E-5 TGCAGTGCTAGAGATGGACCGACAGGGAACTATGGCTACACCTTC CSARDGPTGNYGYTF TRBV20-1 TRBD1 TRBJ1-2 13 20 26 27 7496 3733.7078 54 TRB CSARDGTGNGYTF TRBV20-1,TRBV20-1*01 TRBD1*01 TRBJ1-2*01,TRBJ1-2 HomoSapiens HLA-A*02:01,HLA-A*02:01:48,HLA-A*02 B2M MHCI GLCTLVAML BMLF1 EBV PMID:12504586,PMID:23267020,PMID:19017975,PMID:21124993,PMID:21555537,PMID:10925283 7 1 2.0E-5 TGCAGTGCTAGAGATGGACCGACAGGGAACTATGGCTACACCTTC CSARDGPTGNYGYTF TRBV20-1 TRBD1 TRBJ1-2 13 20 26 27 7496 3008.3357 0 TRB CSARDRTGNGYTF TRBV20-1 TRBD1*01 TRBJ1-2*01,TRBJ1-2 HomoSapiens HLA-A*02:01,HLA-A*02 B2M MHCI GLCTLVAML BMLF1 EBV PMID:12504586,PMID:23267020,PMID:19017975,PMID:21555537,PMID:24512815,PMID:10925283 4 1 2.0E-5 TGCAGTGCTAGAGATGGACCGACAGGGAACTATGGCTACACCTTC CSARDGPTGNYGYTF TRBV20-1 TRBD1 TRBJ1-2 13 20 26 27 7496 2905.4055 0 TRB CSARDSTGNGYTF TRBV20-1 TRBD1*01 TRBJ1-2*01,TRBJ1-2 HomoSapiens HLA-A*02:01,HLA-A*02 B2M MHCI GLCTLVAML BMLF1 EBV PMID:12504586,PMID:21555537,PMID:10925283 3 1 2.0E-5 TGCAGTGCTAGAGATGGACCGACAGGGAACTATGGCTACACCTTC CSARDGPTGNYGYTF TRBV20-1 TRBD1 TRBJ1-2 13 20 26 27 7496 2839.965 0 TRB CSARVEPGNGYTF TRBV20-1 TRBD1*01 TRBJ1-2*01 HomoSapiens HLA-A*02:01 B2M MHCI GLCTLVAML BMLF1 EBV PMID:21555537 2 1 2.0E-5 TGTGCCAGCAGCCGCGCCCGGACAGGGGGGTTTGGCTACACCTTC CASSRARTGGFGYTF TRBV7-2 TRBD1 TRBJ1-2 11 19 28 32 5074 2910.752 0 TRB CSARDRTGNGYTF TRBV20-1 TRBD1*01 TRBJ1-2*01,TRBJ1-2 HomoSapiens HLA-A*02:01,HLA-A*02 B2M MHCI GLCTLVAML BMLF1 EBV PMID:12504586,PMID:23267020,PMID:19017975,PMID:21555537,PMID:24512815,PMID:10925283 4 1 2.0E-5 TGTGCCAGCAGGACCGGGACTAGCGGCCACAATGAGCAGTTCTTC CASRTGTSGHNEQFF TRBV27 TRBD2 TRBJ2-1 10 15 25 28 7312 2789.999 0 TRB CASRTGTINTGELFF TRBV2 TRBJ2-2 HomoSapiens HLA-A*01:01 B2M MHCI ATDALMTGY NS3 HCV PMID:21160049 2 1 2.0E-5 TGCAGCGTTAGAGCGGGGATCTACGAGCAGTACTTC CSVRAGIYEQYF TRBV29-1 TRBD2 TRBJ2-7 8 11 17 20 2709 2749.2947 0 TRB CSVGAGDYEQYF TRBV29-1 TRBD2*01 TRBJ2-1*01,TRBJ2-7 HomoSapiens HLA-B*08:01 B2M MHCI RAKFKQLL BZLF1 EBV PMID:23267020,PMID:21555537,PMID:24512815 4 1 2.0E-5 TGTGCCAGCAGGGGATTAGGCTACGAGCAGTACTTC CASRGLGYEQYF TRBV6-1 TRBD1 TRBJ2-7 10 11 14 20 9134 2827.8723 0 TRB CASRLGLGYEQYF TRBV12-3,TRBV12-4 TRBD2*01 TRBJ2-7*01 HomoSapiens HLA-A*02:01 B2M MHCI NLVPMVATV p65 CMV PMID:21555537 2 1 2.0E-5 TGTGCCAGCAGCTTAGGACTAGCCCCCGGGGGGGAGACCCAGTACTTC CASSLGLAPGGETQYF TRBV7-2 TRBD2 TRBJ2-5 15 16 22 33 1863 2761.771 0 TRB CASSLGLAGGGDTQYF TRBV5-4 TRBJ2-3 HomoSapiens HLA-DRA*01 HLA-DRB1*01 MHCII PKYVKQNTLKLAT HA InfluenzaA PMID:22314361 3 1 2.0E-5 TGTGCCAGCAGAGCCGGGACAGGGTGGAATTCACCCCTCCACTTT CASRAGTGWNSPLHF TRBV12-4 TRBD1 TRBJ1-6 10 15 23 27 2143 2971.657 0 TRB CASRSGTYDNSPLHF TRBV5-1 TRBD1*01 TRBJ1-6 HomoSapiens HLA-A*02:01 B2M MHCI NLVPMVATV p65 CMV PMID:21555537 2 1 2.0E-5 TGTGCCAGCAGCGTAGATGGGACAGGGTTAAAAGAGACCCAGTACTTC CASSVDGTGLKETQYF TRBV9 TRBD1 TRBJ2-5 15 18 26 31 2320 2901.9946 0 TRB CASSVEGTILTDTQYF TRBV9 TRBJ2-3 HomoSapiens HLA-B*15 B2M MHCI GLNKIVRMY Gag HIV-1 PMID:21562156 2 1 2.0E-5 TGCAGCGTTGAAAAAGGGGAAGGCTACGAGCAGTACTTC CSVEKGEGYEQYF TRBV29-1 TRBD1 TRBJ2-7 11 14 18 23 4546 2789.397 0 TRB CSVGAGEGYEQYF TRBV29-1 TRBD2*02 TRBJ2-7*01 HomoSapiens HLA-B*08:01 B2M MHCI RAKFKQLL BZLF1 EBV PMID:21555537 2 1 2.0E-5 TGTGCCAGCAGTGCCGGGACAGGGATCTACGAGCAGTACTTC CASSAGTGIYEQYF TRBV6-1 TRBD1 TRBJ2-7 12 15 23 26 7790 2993.67 0 TRB CASSAGTGIYDEAFF TRBV7-9 TRBD1*01 TRBJ1-1*01 HomoSapiens HLA-B*07:02 B2M MHCI TPRVTGGGAM p65 CMV PMID:21555537 2 1 2.0E-5 TGTGCCAGCAGCCCACCTGGGTCGGGTAGGGCCGAGCAGTACTTC CASSPPGSGRAEQYF TRBV7-2 TRBD1 TRBJ2-7 11 27 30 32 7184 2776.4243 0 TRB CASSPPGAGEGETQYF TRBV28 TRBJ2-5 HomoSapiens HLA-DRA*01 HLA-DRB1*01 MHCII PKYVKQNTLKLAT HA InfluenzaA PMID:22314361 3 1 2.0E-5 TGCAGTGCTACCCTCGGACTAGCGGGAGGGGCAGATACGCAGTATTTT CSATLGLAGGADTQYF TRBV20-1 TRBD2 TRBJ2-3 9 15 29 31 4901 2775.576 0 TRB CASSLGLAGGGDTQYF TRBV5-4 TRBJ2-3 HomoSapiens HLA-DRA*01 HLA-DRB1*01 MHCII PKYVKQNTLKLAT HA InfluenzaA PMID:22314361 3 1 2.0E-5 TGTGCCAGTAGTCCAACGGGAGGGATTGGGTACGAGCAGTACTTC CASSPTGGIGYEQYF TRBV19 TRBD2 TRBJ2-7 11 16 23 30 6841 3172.2695 0 TRB CASSPTGGPGELFF TRBV4-1,TRBV4-2,TRBV4-3 TRBD1*01 TRBJ2-2*01 HomoSapiens HLA-B*07:02 B2M MHCI GPGHKARVL p24 CMV PMID:21555537 2 1 2.0E-5 TGTGCCAGCAGTGTCCGAACTGGTGGTTACGAGCAGTACTTC CASSVRTGGYEQYF TRBV14 TRBD1 TRBJ2-7 10 11 15 27 7786 2767.8877 0 TRB CASSVLTGGRETQYF TRBV9 TRBJ2-5 HomoSapiens HLA-B*08 B2M MHCI EIYKRWII Gag HIV-1 PMID:17287271 2 1 2.0E-5 TGTGCCAGCACCAGGACAGGGACGGACTACGAGCAGTACTTC CASTRTGTDYEQYF TRBV28 TRBD1 TRBJ2-7 9 13 20 26 5252 3068.7585 0 TRB CATKRTGTDTQYF TRBV15 TRBJ2-3 HomoSapiens HLA-B*08:01 B2M MHCI RAKFKQLL BZLF1 EBV PMID:24512815 4 1 2.0E-5 TGTGCCAGCAGCTCAACCCGCGCGGGGGGAGGAGATACGCAGTATTTT CASSSTRAGGGDTQYF TRBV7-6 TRBD2 TRBJ2-3 12 21 28 32 6491 3130.086 0 TRB CASSQTLAGGGETQYF TRBV3-1 TRBJ2-5 HomoSapiens HLA-A*02:01 B2M MHCI YVLDHLIVV BRLF1 EBV PMID:23267020,PMID:24512815 4 1 2.0E-5 TGCAGTGCCCGACAGGGGGTTGGAAATTCACCCCTCCACTTT CSARQGVGNSPLHF TRBV20-1 TRBD1 TRBJ1-6 7 10 18 24 8271 3378.1267 0 TRB CSARSGVGNTIYF TRBV20-1 TRBD1*01 TRBJ2-3*01,TRBJ1-3 HomoSapiens HLA-A*02:01,HLA-A*02 B2M MHCI GLCTLVAML BMLF1 EBV PMID:19017975,PMID:21555537,PMID:10925283 2 1 2.0E-5 TGCAGTGCTAGAGATTCCGGGACAGGGGGAGGGGGCTACACCTTC CSARDSGTGGGGYTF TRBV20-1 TRBD1 TRBJ1-2 13 18 28 33 7489 2921.7317 54 TRB CSARDGTGNGYTF TRBV20-1,TRBV20-1*01 TRBD1*01 TRBJ1-2*01,TRBJ1-2 HomoSapiens HLA-A*02:01,HLA-A*02:01:48,HLA-A*02 B2M MHCI GLCTLVAML BMLF1 EBV PMID:12504586,PMID:23267020,PMID:19017975,PMID:21124993,PMID:21555537,PMID:10925283 7 1 2.0E-5 TGTGCCAGCAGCTTAGCGGGAGTAGCCAAAAACATTCAGTACTTC CASSLAGVAKNIQYF TRBV28 TRBD2 TRBJ2-4 14 15 21 23 1975 3238.6243 0 TRB CASSLALGVAKNIQYF TRBV7-9 TRBJ2-4 HomoSapiens HLA-B*07:02 B2M MHCI TPRVTGGGAM p65 CMV PMID:23267020,PMID:24512815 5 1 2.0E-5 TGTGCCACCAGCAAACCCGGGACTAGCGGGAGGAAACAACACAGATACGCAGTATTTT CATSKPGTSG_GNNTDTQYF TRBV15 TRBD2 TRBJ2-3 11 18 32 39 4671 2739.5376 0 TRB CASSPGTSGGGDEETQYF TRBV12-3 TRBJ2-5 HomoSapiens HLA-B*08:01 B2M MHCI RAKFKQLL BZLF1 EBV PMID:23267020,PMID:24512815 4 1 2.0E-5 TGTGCCAGCAGCTTAGGTTATGGCTACACCTTC CASSLGYGYTF TRBV7-9 TRBD1 TRBJ1-2 15 16 17 18 9334 3039.3298 0 TRB CASSLGYGYTF TRBV28 TRBJ1-2 HomoSapiens HLA-B*57 B2M MHCI QASQEVKNW Gag HIV-1 PMID:21562156 2 1 2.0E-5 TGCAGCGTTGCTCCCTCTGGGGCCAACGTCCTGACTTTC CSVAPSGANVLTF TRBV29-1 TRBD2 TRBJ2-6 9 10 13 14 5689 2763.3657 0 TRB CASSPSGANVLTF TRBV27 TRBJ2-6*01 HomoSapiens HLA-B*08:01 B2M MHCI RAKFKQLL BZLF1 EBV PMID:21555537 2 1 2.0E-5 TGCAGTGCTAGAGCCGGGACAGGGGGCACCGGGGAGCTGTTTTTT CSARAGTGGTGELFF TRBV20-1 TRBD1 TRBJ2-2 12 15 25 26 4299 2844.5593 0 TRB CAIRSGTINTGELFF TRBV10-3 TRBJ2-2 HomoSapiens HLA-A*01:01 B2M MHCI ATDALMTGY NS3 HCV PMID:21160049 2 1 2.0E-5 TGCAGTGCTAGAGAGAGGACAGGCTATGGCTACACCTTC CSARERTGYGYTF TRBV20-1 TRBD1 TRBJ1-2 13 16 22 23 2557 3666.6626 0 TRB CSARDRTGNGYTF TRBV20-1 TRBD1*01 TRBJ1-2*01,TRBJ1-2 HomoSapiens HLA-A*02:01,HLA-A*02 B2M MHCI GLCTLVAML BMLF1 EBV PMID:12504586,PMID:23267020,PMID:19017975,PMID:21555537,PMID:24512815,PMID:10925283 4 1 2.0E-5 TGCAGTGCTAGAGAGAGGACAGGCTATGGCTACACCTTC CSARERTGYGYTF TRBV20-1 TRBD1 TRBJ1-2 13 16 22 23 2557 2995.8157 0 TRB CSARDRTGNTIYF TRBV20-1 TRBD1*01 TRBJ1-3*01,TRBJ1-3 HomoSapiens HLA-A*02:01 B2M MHCI GLCTLVAML BMLF1 EBV PMID:12504586,PMID:21555537 3 1 2.0E-5 TGCAGTGCTAGAGAGAGGACAGGCTATGGCTACACCTTC CSARERTGYGYTF TRBV20-1 TRBD1 TRBJ1-2 13 16 22 23 2557 2945.5164 0 TRB CSARDRVGNGYTF TRBV20-1 TRBJ1-2 HomoSapiens HLA-A*02:01 B2M MHCI GLCTLVAML BMLF1 EBV PMID:23267020,PMID:24512815 4 1 2.0E-5 TGCAGTGCTAGAGAGAGGACAGGCTATGGCTACACCTTC CSARERTGYGYTF TRBV20-1 TRBD1 TRBJ1-2 13 16 22 23 2557 2823.5962 0 TRB CSARDQTGNGYTF TRBV20-1 TRBJ1-2 HomoSapiens HLA-A*02:01,HLA-A*02 B2M MHCI GLCTLVAML BMLF1 EBV PMID:23267020,PMID:19017975,PMID:10925283 2 1 2.0E-5 TGCAGTGCTAGAGAGAGGACAGGCTATGGCTACACCTTC CSARERTGYGYTF TRBV20-1 TRBD1 TRBJ1-2 13 16 22 23 2557 2741.5957 54 TRB CSARDGTGNGYTF TRBV20-1,TRBV20-1*01 TRBD1*01 TRBJ1-2*01,TRBJ1-2 HomoSapiens HLA-A*02:01,HLA-A*02:01:48,HLA-A*02 B2M MHCI GLCTLVAML BMLF1 EBV PMID:12504586,PMID:23267020,PMID:19017975,PMID:21124993,PMID:21555537,PMID:10925283 7 1 2.0E-5 TGTGCCAGCAGCGTTTACACCGGGGAGCTGTTTTTT CASSVYTGELFF TRBV2 TRBD1 TRBJ2-2 10 12 13 16 9109 2921.4055 0 TRB CASSVRTGELFF TRBV9 TRBJ2-2 HomoSapiens HLA-B*35:01 B2M MHCI HPVGEADYFEY EBNA1 EBV PMID:17082594 2 1 2.0E-5 TGTGCCAGCAGCGTTTACACCGGGGAGCTGTTTTTT CASSVYTGELFF TRBV2 TRBD1 TRBJ2-2 10 12 13 16 9109 2921.4055 0 TRB CASSVRTGELFF TRBV27 TRBJ2-2 HomoSapiens HLA-B*27 B2M MHCI KRWIILGLNK Gag HIV-1 PMID:17287271 2 1 2.0E-5 TGCGCCAGCAGCCGGGACAGGGTTGGTGGCTACACCTTC CASSRDRVGGYTF TRBV5-1 TRBD1 TRBJ1-2 11 13 21 26 3941 3159.1592 0 TRB CSARDRVGNGYTF TRBV20-1 TRBJ1-2 HomoSapiens HLA-A*02:01 B2M MHCI GLCTLVAML BMLF1 EBV PMID:23267020,PMID:24512815 4 1 2.0E-5 TGTGCCAGCAGGAGGACTAGCGGGGGGGCCGATGAGCAGTACTTC CASRRTSGGADEQYF TRBV6-5 TRBD2 TRBJ2-7 10 13 27 33 7316 3168.1846 0 TRB CASRTTSGGASEQFF TRBV28 TRBJ2-1 HomoSapiens HLA-A*02:01 B2M MHCI YVLDHLIVV BRLF1 EBV PMID:24512815 4 1 2.0E-5 TGTGCCACCAGCAGACCTGGACTAGCGGGGGCCCAAGAGACCCAGTACTTC CATSRPGLAGAQETQYF TRBV15 TRBD2 TRBJ2-5 11 18 30 32 6088 2882.422 40,41 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:01:48 B2M MHCI LLFGPVYV TAX HTLV-1 PMID:19698083 7 1 2.0E-5 TGTGCCACCAGCAGACCTGGACTAGCGGGGGCCCAAGAGACCCAGTACTTC CATSRPGLAGAQETQYF TRBV15 TRBD2 TRBJ2-5 11 18 30 32 6088 2882.422 25 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:01:48 B2M MHCI LLFGKPVYV TAX HTLV-1 PMID:16962135 7 1 2.0E-5 TGTGCCACCAGCAGACCTGGACTAGCGGGGGCCCAAGAGACCCAGTACTTC CATSRPGLAGAQETQYF TRBV15 TRBD2 TRBJ2-5 11 18 30 32 6088 2882.422 1 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:01:59 B2M MHCI LLFGYPVYV TAX HTLV-1 PMID:8906788 7 1 2.0E-5 TGTGCCACCAGCAGACCTGGACTAGCGGGGGCCCAAGAGACCCAGTACTTC CATSRPGLAGAQETQYF TRBV15 TRBD2 TRBJ2-5 11 18 30 32 6088 2882.422 56 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:01:48 B2M MHCI LGYGFVNYI ELAVL4 HomoSapiens PMID:21282516 7 1 2.0E-5 TGTGCCACCAGCAGACCTGGACTAGCGGGGGCCCAAGAGACCCAGTACTTC CATSRPGLAGAQETQYF TRBV15 TRBD2 TRBJ2-5 11 18 30 32 6088 2882.422 45 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:01:48 B2M MHCI MLWGYLQYV Tel1 SaccharomycesCerevisiae PMID:20064447 7 1 2.0E-5 TGTGCCACCAGCAGACCTGGACTAGCGGGGGCCCAAGAGACCCAGTACTTC CATSRPGLAGAQETQYF TRBV15 TRBD2 TRBJ2-5 11 18 30 32 6088 2882.422 14 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:01:59 B2M MHCI LLFGYPRYV TAX HTLV-1 PMID:10435578 7 1 2.0E-5 TGTGCCACCAGCAGACCTGGACTAGCGGGGGCCCAAGAGACCCAGTACTTC CATSRPGLAGAQETQYF TRBV15 TRBD2 TRBJ2-5 11 18 30 32 6088 2882.422 13 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:01:59 B2M MHCI LLFGYAVYV TAX HTLV-1 PMID:10435578 7 1 2.0E-5 TGTGCCACCAGCAGACCTGGACTAGCGGGGGCCCAAGAGACCCAGTACTTC CATSRPGLAGAQETQYF TRBV15 TRBD2 TRBJ2-5 11 18 30 32 6088 2882.422 61 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:01:48 B2M MHCI LLFGFPVYV TAX HTLV-1 PMID:22019736 7 1 2.0E-5 TGTGCCACCAGCAGACCTGGACTAGCGGGGGCCCAAGAGACCCAGTACTTC CATSRPGLAGAQETQYF TRBV15 TRBD2 TRBJ2-5 11 18 30 32 6088 2882.422 15 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:256 B2M MHCI LLFGYPVAV TAX HTLV-1 PMID:10435578 7 1 2.0E-5 TGTGCCAGCAGTGAAGCTAGCGGGGGGTCCTACAATGAGCAGTTCTTC CASSEASGGSYNEQFF TRBV6-1 TRBD2 TRBJ2-1 16 17 26 27 2316 3058.2725 0 TRB CASSEASGGFYNEQFF TRBV2,TRBV7-2 TRBJ2-1 HomoSapiens HLA-A*11:01 B2M MHCI IVTDFSVIK EBNA3b EBV PMID:24512815 4 1 2.0E-5 TGTGCCAGCAGTGAAGCTAGCGGGGGGTCCTACAATGAGCAGTTCTTC CASSEASGGSYNEQFF TRBV6-1 TRBD2 TRBJ2-1 16 17 26 27 2316 2878.491 0 TRB CASSEAAGGFYNEQFF TRBV2 TRBJ2-1 HomoSapiens HLA-A*11:01 B2M MHCI IVTDFSVIK EBNA3B EBV PMID:23267020 2 1 2.0E-5 TGTGCCAGCAGCCCCCGCCTAGCGGGAGCCAGCACAGATACGCAGTATTTT CASSPRLAGASTDTQYF TRBV28 TRBD2 TRBJ2-3 10 18 27 30 3043 2755.5835 277 TRB CASSRLAGASTDTQYF TRBV7-3*01 TRBD2*01 TRBJ2-3*01 HomoSapiens HLA-B*08 B2M MHCI QIKVRVDMV IE1 CMV PMID:23637823 2 1 2.0E-5 TGCAGCGCGGAGACCGGGACAGCCACAGATACGCAGTATTTT CSAETGTATDTQYF TRBV29-1 TRBD1 TRBJ2-3 9 15 21 23 8347 2883.7827 0 TRB CASRTGTHTDTQYF TRBV28 TRBJ2-3 HomoSapiens HLA-DRA*01 HLA-DRB1*01 MHCII PKYVKQNTLKLAT HA InfluenzaA PMID:12466894 4 1 2.0E-5 TGTGCCAGTAGTACGGGACAGGACTACGAGCAGTACTTC CASSTGQDYEQYF TRBV19 TRBD1 TRBJ2-7 12 14 21 23 3523 2834.1294 0 TRB CASSTGQAYEQYF TRBV7-8 TRBD1*01 TRBJ2-7*01 HomoSapiens HLA-B*08:01 B2M MHCI FLRGRAYGL EBNA3A EBV PMID:21555537 2 1 2.0E-5 TGTGCCAGCAGCCGGACAATTACCTACGAGCAGTACTTC CASSRTITYEQYF TRBV6-5 TRBD1 TRBJ2-7 10 13 17 22 8655 2775.315 122,81 TRB CASSRTGSTYEQYF TRBV5-6*01,TRBV5-6 TRBJ2-3*01,TRBJ2-7 HomoSapiens HLA-B*35:08,HLA-B*35:08:01 B2M MHCI LPEPLPQGQLTAY BZLF1 EBV PMID:15849183,PMID:23569211 7 1 2.0E-5 TGTGCCAGCAGCCCCGGGACAGGGGCCTACGAGCAGTACTTC CASSPGTGAYEQYF TRBV11-2 TRBD1 TRBJ2-7 11 15 24 25 7958 3596.5664 0 TRB CASSPGTGSYEQYF TRBV5-1 TRBJ2-7 HomoSapiens HLA-B*08:01 B2M MHCI RAKFKQLL BZLF1 EBV PMID:24512815 4 1 2.0E-5 TGTGCCAGCAGCCCCGGGACAGGGGCCTACGAGCAGTACTTC CASSPGTGAYEQYF TRBV11-2 TRBD1 TRBJ2-7 11 15 24 25 7958 2907.3762 0 TRB CASSMGTGAHEQYF TRBV19 TRBJ2-7 HomoSapiens HLA-A*01:01 B2M MHCI ATDALMTGY NS3 HCV PMID:21160049 2 1 2.0E-5 TGCAGTGCTAACACCGGGACAGGGAGAGGCTACACCTTC CSANTGTGRGYTF TRBV20-1 TRBD1 TRBJ1-2 9 15 23 27 8852 2819.6587 298 TRB CSANSRTGLGYTF TRBV20-1*01 HomoSapiens HLA-A*02 B2M MHCI KLVALGINAV ns3 HCV PMID:27252176 7 1 2.0E-5 TGTGCCAGCAGGACAGGGATTAGCACAGATACGCAGTATTTT CASRTGISTDTQYF TRBV28 TRBD1 TRBJ2-3 10 11 17 21 8085 3276.33 0 TRB CASRTGTHTDTQYF TRBV28 TRBJ2-3 HomoSapiens HLA-DRA*01 HLA-DRB1*01 MHCII PKYVKQNTLKLAT HA InfluenzaA PMID:12466894 4 1 2.0E-5 TGTGCCAGCAGCCCCCGGGGAGCGGGGGGAAACAATGAGCAGTTCTTC CASSPRGAGGNNEQFF TRBV7-2 TRBD2 TRBJ2-1 11 20 28 31 3669 3298.5107 0 TRB CAGRPRLAGGNNEQFF TRBV28 TRBJ2-1 HomoSapiens HLA-B*08:01 B2M MHCI RAKFKQLL BZLF1 EBV PMID:23267020,PMID:24512815 4 1 2.0E-5 TGTGCCACCGGTCGCAAGAGACCCAGTACTTC CATGR_ETQYF TRBV21-1 TRBD1 TRBJ2-5 6 10 12 14 9416 2799.5718 0 TRB CATGRLAGETQYF TRBV15 TRBD2*01 TRBJ2-5*01 HomoSapiens HLA-B*07:02 B2M MHCI GPGHKARVL p24 CMV PMID:21555537 2 1 2.0E-5 TGTGCCAGCAGCCCCGGACAGGGACTAGCTAACTATGGCTACACCTTC CASSPGQGLANYGYTF TRBV28 TRBD1 TRBJ1-2 10 15 22 28 6521 3216.5046 0 TRB CASSLGQGLANYGYTF TRBV27 TRBJ1-2,TRBJ2-1 HomoSapiens HLA-B*08 B2M MHCI FLKEKGGL Nef HIV-1 PMID:17287271 2 1 2.0E-5 TGCAGTGCTAGGAACAGGGTCGGCGGGCTTCAGTACTTC CSARNRVGGLQYF TRBV20-1 TRBD1 TRBJ2-4 10 13 18 28 8838 3024.6997 0 TRB CSARSRVGNTIYF TRBV20-1 TRBJ1-3 HomoSapiens HLA-A*02:01 B2M MHCI GLCTLVAML BMLF1 EBV PMID:24512815 4 1 2.0E-5 TGCAGTGCTAGGAACAGGGTCGGCGGGCTTCAGTACTTC CSARNRVGGLQYF TRBV20-1 TRBD1 TRBJ2-4 10 13 18 28 8838 3015.7844 0 TRB CSARDRVGNTIYF TRBV20-1 TRBD1*01 TRBJ2-3*01,TRBJ1-3 HomoSapiens HLA-A*02:01,HLA-A*02 B2M MHCI GLCTLVAML BMLF1 EBV PMID:12504586,PMID:23267020,PMID:19017975,PMID:21555537,PMID:10925283 5 1 2.0E-5 TGCAGCGTTCGAGGGCACGGAGAGACCCAGTACTTC CSVRGHGETQYF TRBV29-1 TRBD2 TRBJ2-5 8 10 14 20 3593 2916.878 0 TRB CSVRGEGDTQYF TRBV29-1 TRBJ2-3 HomoSapiens HLA-A*02:01 B2M MHCI GLCTLVAML BMLF1 EBV PMID:12504586 2 1 2.0E-5 TGTGCCAGCAGCCCAACCACAGATACGCAGTATTTT CASSPTTDTQYF TRBV28 TRBD1 TRBJ2-3 10 11 13 17 3283 2807.2556 0 TRB CASSPTTAYEQYF TRBV6-2 TRBJ2-7 HomoSapiens HLA-B*35:01 B2M MHCI IPSINVHHY p65 CMV PMID:23028307 2 1 2.0E-5 TGCAGTGCAGCCGGGACAGGGGGCACAGATACGCAGTATTTT CSAAGTGGTDTQYF TRBV20-1 TRBD1 TRBJ2-3 7 12 21 22 2543 2754.6711 0 TRB CASSGVGGTDTQYF TRBV9 TRBD2*02 TRBJ2-3*01 HomoSapiens HLA-A*02:01 B2M MHCI NLVPMVATV p65 CMV PMID:21555537 2 1 2.0E-5 TGTGCCAGCTCACCACGGACAGGAGCGGGCTACACCTTC CASSPRTGAGYTF TRBV18 TRBD1 TRBJ1-2 15 16 22 27 8458 3065.8584 0 TRB CASSPQTGAIYGYTF TRBV6-5 TRBJ1-2 HomoSapiens HLA-A*02:01 B2M MHCI NLVPMVATV p65 CMV PMID:19017975 2 1 2.0E-5 TGTGCCAGCAGTCCCCAGGGGAGTCCCTACGAGCAGTACTTC CASSPQGSPYEQYF TRBV12-4 TRBD1 TRBJ2-7 11 15 20 25 7758 2872.8887 0 TRB CASSPSGTPYEQYF TRBV2 TRBD1*01 TRBJ2-7*01 HomoSapiens HLA-B*07:02 B2M MHCI GPGHKARVL p24 CMV PMID:21555537 2 1 2.0E-5 TGTGCCAGCAGTCCCCAGGGGAGTCCCTACGAGCAGTACTTC CASSPQGSPYEQYF TRBV12-4 TRBD1 TRBJ2-7 11 15 20 25 7758 2804.0403 0 TRB CASSPSGTPYERYF TRBV2 TRBD1*01 TRBJ2-7*01 HomoSapiens HLA-B*07:02 B2M MHCI GPGHKARVL p24 CMV PMID:21555537 2 1 2.0E-5 TGTGCCAGCAGCTTAGGGTTTGCGGGGGGGACAGATACGCAGTATTTT CASSLGFAGGTDTQYF TRBV7-2 TRBD2 TRBJ2-3 15 21 29 30 4117 2942.207 0 TRB CASSLGLAGGGDTQYF TRBV5-4 TRBJ2-3 HomoSapiens HLA-DRA*01 HLA-DRB1*01 MHCII PKYVKQNTLKLAT HA InfluenzaA PMID:22314361 3 1 2.0E-5 TGTGCCAGCAGCCTACGGGGACGCACAGATACGCAGTATTTT CASSLRGRTDTQYF TRBV11-3 TRBD1 TRBJ2-3 11 17 21 22 7937 3034.361 0 TRB CASSLQRGRTDTQYF TRBV11-2 TRBJ2-3 HomoSapiens HLA-A*02:01 B2M MHCI VLEETSVML IE1 CMV PMID:23267020,PMID:24512815 5 1 2.0E-5 TGTGCCAGCACCCCTGGACTAGCGGGGGGTGAAGAGACCCAGTACTTC CASTPGLAGGEETQYF TRBV6-5 TRBD2 TRBJ2-5 9 15 28 31 6347 2887.508 40,41 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:01:48 B2M MHCI LLFGPVYV TAX HTLV-1 PMID:19698083 7 1 2.0E-5 TGTGCCAGCACCCCTGGACTAGCGGGGGGTGAAGAGACCCAGTACTTC CASTPGLAGGEETQYF TRBV6-5 TRBD2 TRBJ2-5 9 15 28 31 6347 2887.508 25 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:01:48 B2M MHCI LLFGKPVYV TAX HTLV-1 PMID:16962135 7 1 2.0E-5 TGTGCCAGCACCCCTGGACTAGCGGGGGGTGAAGAGACCCAGTACTTC CASTPGLAGGEETQYF TRBV6-5 TRBD2 TRBJ2-5 9 15 28 31 6347 2887.508 1 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:01:59 B2M MHCI LLFGYPVYV TAX HTLV-1 PMID:8906788 7 1 2.0E-5 TGTGCCAGCACCCCTGGACTAGCGGGGGGTGAAGAGACCCAGTACTTC CASTPGLAGGEETQYF TRBV6-5 TRBD2 TRBJ2-5 9 15 28 31 6347 2887.508 56 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:01:48 B2M MHCI LGYGFVNYI ELAVL4 HomoSapiens PMID:21282516 7 1 2.0E-5 TGTGCCAGCACCCCTGGACTAGCGGGGGGTGAAGAGACCCAGTACTTC CASTPGLAGGEETQYF TRBV6-5 TRBD2 TRBJ2-5 9 15 28 31 6347 2887.508 45 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:01:48 B2M MHCI MLWGYLQYV Tel1 SaccharomycesCerevisiae PMID:20064447 7 1 2.0E-5 TGTGCCAGCACCCCTGGACTAGCGGGGGGTGAAGAGACCCAGTACTTC CASTPGLAGGEETQYF TRBV6-5 TRBD2 TRBJ2-5 9 15 28 31 6347 2887.508 14 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:01:59 B2M MHCI LLFGYPRYV TAX HTLV-1 PMID:10435578 7 1 2.0E-5 TGTGCCAGCACCCCTGGACTAGCGGGGGGTGAAGAGACCCAGTACTTC CASTPGLAGGEETQYF TRBV6-5 TRBD2 TRBJ2-5 9 15 28 31 6347 2887.508 13 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:01:59 B2M MHCI LLFGYAVYV TAX HTLV-1 PMID:10435578 7 1 2.0E-5 TGTGCCAGCACCCCTGGACTAGCGGGGGGTGAAGAGACCCAGTACTTC CASTPGLAGGEETQYF TRBV6-5 TRBD2 TRBJ2-5 9 15 28 31 6347 2887.508 61 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:01:48 B2M MHCI LLFGFPVYV TAX HTLV-1 PMID:22019736 7 1 2.0E-5 TGTGCCAGCACCCCTGGACTAGCGGGGGGTGAAGAGACCCAGTACTTC CASTPGLAGGEETQYF TRBV6-5 TRBD2 TRBJ2-5 9 15 28 31 6347 2887.508 15 TRB CASRPGLAGGRPEQYF TRBV6-5*01 TRBJ2-3*01 HomoSapiens HLA-A*02:256 B2M MHCI LLFGYPVAV TAX HTLV-1 PMID:10435578 7 1 2.0E-5 TGTGCCAGCACTGAGGGCGGAACGACCTACGAGCAGTACTTC CASTEGGTTYEQYF TRBV28 TRBD2 TRBJ2-7 9 12 16 25 4330 2864.5789 0 TRB CSVTGGGRTYEQYF TRBV29-1 TRBD2*01 TRBJ2-1*01 HomoSapiens HLA-B*07:02 B2M MHCI GPGHKARVL p24 CMV PMID:21555537 2 1 2.0E-5 TGTGCCAGCAGCGTAACTGGGGGTTCCACAGATACGCAGTATTTT CASSVTGGSTDTQYF TRBV9 TRBD1 TRBJ2-3 14 18 22 26 5093 2783.512 0 TRB CASSSTGRDTDTQYF TRBV12-4 TRBJ2-3 HomoSapiens HLA-B*08:01 B2M MHCI RAKFKQLL BZLF1 EBV PMID:24512815 4 1 2.0E-5 TGTGCCAGCAGCGTAACTGGGGGTTCCACAGATACGCAGTATTTT CASSVTGGSTDTQYF TRBV9 TRBD1 TRBJ2-3 14 18 22 26 5093 2781.573 0 TRB CASVTGSTDTQYF TRBV2 TRBJ2-3 HomoSapiens HLA-B*18 B2M MHCI ELKRKMIYM IE1 CMV PMID:10756006 4 1 2.0E-5 TGTGCCAGCACCCAAGGGACAGGGGGCCGAGAGACCCAGTACTTC CASTQGTGGRETQYF TRBV12-4 TRBD1 TRBJ2-5 9 15 26 29 6882 2761.7273 0 TRB CASSVLTGGRETQYF TRBV9 TRBJ2-5 HomoSapiens HLA-B*08 B2M MHCI EIYKRWII Gag HIV-1 PMID:17287271 2 1 2.0E-5 TGTGCCAGTAGTCCGACAGGTACCTACGAGCAGTACTTC CASSPTGTYEQYF TRBV19 TRBD1 TRBJ2-7 11 14 19 22 8439 3062.8171 0 TRB CATSWTGTYEQYF TRBV6-1 TRBJ2-7 HomoSapiens HLA-A*02:01 B2M MHCI YVLDHLIVV BRLF1 EBV PMID:23267020,PMID:24512815 4 1 2.0E-5 TGTGCCAGCAGCCGGACCTCTAGCACAGATACGCAGTATTTT CASSRTSSTDTQYF TRBV7-2 TRBD1 TRBJ2-3 11 13 16 21 1927 3114.4846 0 TRB CASSRTGSTDTQYF TRBV28 TRBJ2-3 HomoSapiens HLA-DRA*01 HLA-DRB1*01 MHCII PKYVKQNTLKLAT HA InfluenzaA PMID:22314361 3 1 2.0E-5 TGTGCCAGCAGCCCCGGGCCTACGAACACCGGGGAGCTGTTTTTT CASSPGPTNTGELFF TRBV11-3 TRBD1 TRBJ2-2 11 15 18 22 3737 2774.2178 0 TRB CASRPGPVKNTGELFF TRBV6-2 TRBJ2-2 HomoSapiens HLA-A*03 B2M MHCI QVPLRPMTYK Nef HIV-1 PMID:17287271 2 1 2.0E-5 TGTGCCAGCAGTTTACTCAGAGAACGCACAGATACGCAGTATTTT CASSLLRERTDTQYF TRBV27 TRBD1 TRBJ2-3 14 17 19 25 4968 2835.9995 0 TRB CASSLQRGRTDTQYF TRBV11-2 TRBJ2-3 HomoSapiens HLA-A*02:01 B2M MHCI VLEETSVML IE1 CMV PMID:23267020,PMID:24512815 5 1 2.0E-5 TGTGCCAGCAGTCCCCTAGCGGGGGTAAGAGAGACCCAGTACTTC CASSPLAGVRETQYF TRBV27 TRBD2 TRBJ2-5 11 15 24 29 3397 3435.036 0 TRB CASSPLAGVGETQYF TRBV12-3,TRBV12-4 TRBD2*01 TRBJ2-5*01 HomoSapiens HLA-B*08:01 B2M MHCI RAKFKQLL BZLF1 EBV PMID:21555537 2 1 2.0E-5 TGCGCCAGCAGCTTACGGGACAGGGGCCACGAGCAGTACTTC CASSLRDRGHEQYF TRBV5-1 TRBD1 TRBJ2-7 13 16 25 28 3497 2948.3323 0 TRB CASSFRDRGHYEQYF TRBV7-9 TRBJ2-7 HomoSapiens HLA-B*07:02 B2M MHCI TPRVTGGGAM p65 CMV PMID:23267020 2 1 2.0E-5 TGCAGTGCTAGGACGGGGACCCACTACCAAGAGACCCAGTACTTC CSARTGTHYQETQYF TRBV20-1 TRBD1 TRBJ2-5 10 15 19 25 7475 3186.7769 0 TRB CASRTGTHTDTQYF TRBV28 TRBJ2-3 HomoSapiens HLA-DRA*01 HLA-DRB1*01 MHCII PKYVKQNTLKLAT HA InfluenzaA PMID:12466894 4 1 2.0E-5 TGCGCCAGCAGCTTGGCTCGGGGGACCACAGATACGCAGTATTTT CASSLARGTTDTQYF TRBV5-1 TRBD2 TRBJ2-3 15 18 23 26 7361 2850.7983 0 TRB CASSLQRGRTDTQYF TRBV11-2 TRBJ2-3 HomoSapiens HLA-A*02:01 B2M MHCI VLEETSVML IE1 CMV PMID:23267020,PMID:24512815 5 1 2.0E-5 TGTGCCAGCAGCCGGACAGGGTACCAAGACCCAGTACTTC CASSRTG_TKTQYF TRBV6-5 TRBD1 TRBJ2-5 10 13 20 26 5495 3278.644 0 TRB CASSRTGSTDTQYF TRBV28 TRBJ2-3 HomoSapiens HLA-DRA*01 HLA-DRB1*01 MHCII PKYVKQNTLKLAT HA InfluenzaA PMID:22314361 3 1 2.0E-5 TGTGCCAGCAGCCGGACAGGGTACCAAGACCCAGTACTTC CASSRTG_TKTQYF TRBV6-5 TRBD1 TRBJ2-5 10 13 20 26 5495 3146.7498 122,81 TRB CASSRTGSTYEQYF TRBV5-6*01,TRBV5-6 TRBJ2-3*01,TRBJ2-7 HomoSapiens HLA-B*35:08,HLA-B*35:08:01 B2M MHCI LPEPLPQGQLTAY BZLF1 EBV PMID:15849183,PMID:23569211 7 1 2.0E-5 TGCAGCGTTGCCCCGGGGACAGGAAGCTACGAGCAGTACTTC CSVAPGTGSYEQYF TRBV29-1 TRBD1 TRBJ2-7 9 15 22 26 4456 3173.3586 0 TRB CASSPGTGSYEQYF TRBV5-1 TRBJ2-7 HomoSapiens HLA-B*08:01 B2M MHCI RAKFKQLL BZLF1 EBV PMID:24512815 4 1 2.0E-5 TGTGCCAGCAGCTCCCGGGACAGGGGGTACTACGAGCAGTACTTC CASSSRDRGYYEQYF TRBV11-2 TRBD1 TRBJ2-7 11 16 26 29 4231 2783.4116 0 TRB CASSSRDRGAYEQYF TRBV7-9 TRBD1*01 TRBJ2-7*01 HomoSapiens HLA-B*07:02 B2M MHCI TPRVTGGGAM p65 CMV PMID:21555537 2 1 2.0E-5 TGCAGCGTTGGGGGAGGATACGAGCAGTACTTC CSVGGGYEQYF TRBV29-1 TRBD2 TRBJ2-7 9 11 16 18 9392 3164.0215 0 TRB CSVGGAYEQYF TRBV29-1 TRBJ2-7 HomoSapiens HLA-B*07:02 B2M MHCI RPPIFIRRL EBNA3A EBV PMID:23267020 4 1 2.0E-5 TGCAGCGTTGGGGGAGGATACGAGCAGTACTTC CSVGGGYEQYF TRBV29-1 TRBD2 TRBJ2-7 9 11 16 18 9392 3164.0215 0 TRB CSVGGAYEQYF TRBV29-1 TRBJ2-7 HomoSapiens HLA-B*07:02 B2M MHCI RPPIFIRRL EBNA3a EBV PMID:24512815 4 1 2.0E-5 TGTGCCAGCAGCCCCCCCACAGATACGCAGTATTTT CASSPPTDTQYF TRBV7-2 TRBD1 TRBJ2-3 11 12 16 17 2843 2750.2302 0 TRB CASSPLTDTQYF TRBV27 TRBJ2-3*01,TRBJ2-3 HomoSapiens HLA-B*08:01 B2M MHCI RAKFKQLL BZLF1 EBV PMID:23267020,PMID:21555537,PMID:24512815 4 1 2.0E-5 TGTGCCAGCTCACGGACAGGCTCCTACGAGCAGTACTTC CASSRTGSYEQYF TRBV25-1 TRBD1 TRBJ2-7 8 13 19 20 8460 2792.5674 122,81 TRB CASSRTGSTYEQYF TRBV5-6*01,TRBV5-6 TRBJ2-3*01,TRBJ2-7 HomoSapiens HLA-B*35:08,HLA-B*35:08:01 B2M MHCI LPEPLPQGQLTAY BZLF1 EBV PMID:15849183,PMID:23569211 7 1 2.0E-5 TGTGCCAGCAGTTGGGGGACAAACTATGGCTACACCTTC CASSWGTNYGYTF TRBV12-4 TRBD1 TRBJ1-2 12 15 20 21 3231 2967.2664 0 TRB CASSPGQTNYGYTF TRBV7-9 TRBJ1-2 HomoSapiens HLA-B*57 B2M MHCI KAFSPEVIPMF Gag HIV-1 PMID:21562156 2 1 2.0E-5 TGTGCCAGCAGCCCACTAGCGGGGGGCGGAGATACGCAGTATTTT CASSPLAGGGDTQYF TRBV11-2 TRBD2 TRBJ2-3 11 14 25 29 4245 3037.054 0 TRB CASSPLAGVGETQYF TRBV12-3,TRBV12-4 TRBD2*01 TRBJ2-5*01 HomoSapiens HLA-B*08:01 B2M MHCI RAKFKQLL BZLF1 EBV PMID:21555537 2 1 2.0E-5 TGTGCCAGCAGGCCTAGCGGGAGGGCCTACGAGCAGTACTTC CASRPSGRAYEQYF TRBV28 TRBD2 TRBJ2-7 10 13 24 25 8069 2893.358 271,272 TRB CASRPQGRDNEQFF TRBV12-4 HomoSapiens HLA-B*07:02 B2M MHCI RPRGEVRFL VP22 HSV-2 PMID:20139278 4 1 2.0E-5 TGTGCCAGCAGGCCCGGGACTAGCGCCGGAGATACGCAGTATTTT CASRPGTSAGDTQYF TRBV7-2 TRBD2 TRBJ2-3 10 15 24 29 3754 2948.5544 0 TRB CASRPGTSSYEQYF TRBV28*01 TRBD1*01,TRBD2*01 TRBJ2-7*01 HomoSapiens HLA-B*35:08 B2M MHCI CPSQEPMSIYVY p65 CMV PMID:18270323 2 1 2.0E-5 TGCAGTGCTAGAGATGCTGGACAGGGGAACTATGGCTACACCTTC CSARDAGQGNYGYTF TRBV20-1 TRBD1 TRBJ1-2 13 18 26 27 1962 2974.05 54 TRB CSARDGTGNGYTF TRBV20-1,TRBV20-1*01 TRBD1*01 TRBJ1-2*01,TRBJ1-2 HomoSapiens HLA-A*02:01,HLA-A*02:01:48,HLA-A*02 B2M MHCI GLCTLVAML BMLF1 EBV PMID:12504586,PMID:23267020,PMID:19017975,PMID:21124993,PMID:21555537,PMID:10925283 7 1 2.0E-5 TGCAGTGCTAGAGATGCTGGACAGGGGAACTATGGCTACACCTTC CSARDAGQGNYGYTF TRBV20-1 TRBD1 TRBJ1-2 13 18 26 27 1962 2800.787 0 TRB CSARDRGLGNTIYF TRBV20-1 TRBJ1-3 HomoSapiens HLA-A*02:01 B2M MHCI GLCTLVAML BMLF1 EBV PMID:12504586 3 1 2.0E-5 TGTGCCAGCTCCCCATCCGGGACAGGGTACAATGAGCAGTTCTTC CASSPSGTGYNEQFF TRBV18 TRBD1 TRBJ2-1 14 18 26 27 6849 2797.6455 0 TRB CASSPSGTPYEQYF TRBV2 TRBD1*01 TRBJ2-7*01 HomoSapiens HLA-B*07:02 B2M MHCI GPGHKARVL p24 CMV PMID:21555537 2 1 2.0E-5 TGCGCCAGCCGAATCCGGACAGGCACAGATACGCAGTATTTT CASRIRTGTDTQYF TRBV5-1 TRBD1 TRBJ2-3 8 16 21 22 2541 2772.6772 251,230,231,221,232,222,223,234,224,226,227,217,228 TRB CATRIGWGTDTQYF TRBV5-1,TRBV5-5,TRBV5-7 HomoSapiens HLA-B*07:02 B2M MHCI RPRGEVRFL VP22 HSV-2 PMID:20139278 4 1 2.0E-5 TGTGCCAGCTCACCTCTAGCGGGGGGCACCACAGATACGCAGTATTTT CASSPLAGGTTDTQYF TRBV18 TRBD2 TRBJ2-3 13 15 25 29 6332 2921.3022 0 TRB CASSPLTGGQTDTQYF TRBV9 TRBJ2-3 HomoSapiens HLA-DRA*01 HLA-DRB1*01 MHCII PKYVKQNTLKLAT HA InfluenzaA PMID:12466894 4 1 2.0E-5 TGTGCCAGCAGCTTAGGGGGTAACTATGGCTACACCTTC CASSLGGNYGYTF TRBV6-4 TRBD1 TRBJ1-2 10 14 19 20 3918 2985.0198 0 TRB CASSLGSGNYGYTF TRBV9 TRBJ1-2 HomoSapiens HLA-A*11:01 B2M MHCI IVTDFSVIK EBNA3b EBV PMID:24512815 4 1 2.0E-5 TGTGCCAGCAGCTTAGGGGGTAACTATGGCTACACCTTC CASSLGGNYGYTF TRBV6-4 TRBD1 TRBJ1-2 10 14 19 20 3918 2985.0198 0 TRB CASSLGAGNYGYTF TRBV27 TRBD1*01 TRBJ1-2*01 HomoSapiens HLA-B*07:02 B2M MHCI TPRVTGGGAM p65 CMV PMID:21555537 2 1 2.0E-5 TGTGCCAGCAGCCCAGGGACAGGGAGGACCTACGAGCAGTACTTC CASSPGTGRTYEQYF TRBV11-2 TRBD1 TRBJ2-7 11 15 23 28 7187 2929.5278 0 TRB CAWVPGTGGTEAFF TRBV30 TRBD1 TRBJ1-1 HomoSapiens HLA-A*02:01 B2M MHCI NLVPMVATV p65 CMV PMID:24711416 2 1 2.0E-5 TGCGCCAGCAGCCCCGGACTAGCGGGAGGGGCAGATACGCAGTATTTT CASSPGLAGGADTQYF TRBV5-1 TRBD2 TRBJ2-3 11 15 29 31 6657 2799.99 0 TRB CASSLGLAGGGDTQYF TRBV5-4 TRBJ2-3 HomoSapiens HLA-DRA*01 HLA-DRB1*01 MHCII PKYVKQNTLKLAT HA InfluenzaA PMID:22314361 3 1 2.0E-5 TGTGCCAGCAGCGCCGGGACAGGGGGCGGAAGCGAGCAGTACTTC CASSAGTGGGSEQYF TRBV6-6 TRBD1 TRBJ2-7 10 15 26 32 7267 2877.2698 0 TRB CASSQGTGGGYGYTF TRBV4-2 TRBJ1-2 HomoSapiens HLA-B*08:01 B2M MHCI RAKFKQLL BZLF1 EBV PMID:24512815 4 1 2.0E-5 TGTGCCAGCAGCGCCGGGACAGGGGGCGGAAGCGAGCAGTACTTC CASSAGTGGGSEQYF TRBV6-6 TRBD1 TRBJ2-7 10 15 26 32 7267 2761.229 0 TRB CASSRGTGEGYEQYF TRBV7-3 TRBJ2-7 HomoSapiens HLA-B*08:01 B2M MHCI RAKFKQLL BZLF1 EBV PMID:23267020,PMID:24512815 5 1 2.0E-5 TGCAGCGTTGTTCCGGGGGGCGGGAAGACCCAGTACTTC CSVVPGGGKTQYF TRBV29-1 TRBD2 TRBJ2-5 9 13 19 25 5682 3026.3774 0 TRB CASSPGGGKETQYF TRBV7-6 TRBJ2-5 HomoSapiens HLA-B*18 B2M MHCI DEEDAIAAY IE1 CMV PMID:10756006 4 1 2.0E-5 TGTGCCAGCAGCTCACTAGCGGGGGGCACAGATACGCAGTATTTT CASSSLAGGTDTQYF TRBV7-2 TRBD2 TRBJ2-3 12 14 24 25 5045 2842.0002 280 TRB CASSRLAGGTDTQYF TRBV7-3*01 TRBD2*02 TRBJ2-3*01 HomoSapiens HLA-B*08 B2M MHCI QIKVRVDMV IE1 CMV PMID:23637823 4 1 2.0E-5 TGCAGCGTGGGGTTTGCAACTAATGAAAAACTGTTTTTT CSVGFATNEKLFF TRBV29-1 TRBD1 TRBJ1-4 7 8 11 16 3574 3008.3105 0 TRB CSVGAAGTNEKLFF TRBV29-1 TRBJ1-4 HomoSapiens HLA-A*02:01 B2M MHCI GLCTLVAML BMLF1 EBV PMID:12504586 3 1 2.0E-5 TGTGCCAGCAGTGTACCCACGGGGCCCGTCTATGGCTACACCTTC CASSVPTGPVYGYTF TRBV28 TRBD1 TRBJ1-2 11 20 24 29 7001 2816.767 0 TRB CASSVSTGEAYGYTF TRBV9 TRBD1*01 TRBJ1-2*01 HomoSapiens HLA-B*07:02 B2M MHCI GPGHKARVL p24 CMV PMID:21555537 2 1 2.0E-5 TGTGCCAGCAGTGTACCCACGGGGCCCGTCTATGGCTACACCTTC CASSVPTGPVYGYTF TRBV28 TRBD1 TRBJ1-2 11 20 24 29 7001 2759.8843 0 TRB CASSAYTGTVYGYTF TRBJ1-2*01 HomoSapiens HLA-A*02:01 B2M MHCI NLVPMVATV p65 CMV PMID:24069285 2 1 2.0E-5 TGTGCCAGCTCACCAATCACCAGGGCCCAAGAGACCCAGTACTTC CASSPITRAQETQYF TRBV18 TRBD1 TRBJ2-5 14 20 24 26 6858 3060.5703 0 TRB CASSPITRIVGDTQYF TRBV11-2 TRBJ2-3 HomoSapiens HLA-B*08:01 B2M MHCI RAKFKQLL BZLF1 EBV PMID:23267020,PMID:24512815 4 1 2.0E-5 TGTGCCAGCAGGACCGGGACAGTTAACACTGAAGCTTTCTTT CASRTGTVNTEAFF TRBV6-3 TRBD1 TRBJ1-1 10 15 21 24 8083 3863.969 0 TRB CASRTGTINTGELFF TRBV2 TRBJ2-2 HomoSapiens HLA-A*01:01 B2M MHCI ATDALMTGY NS3 HCV PMID:21160049 2 1 2.0E-5 TGTGCCAGCAGCTCCCCGTTAGCGGGAGTGTCAGATACGCAGTATTTT CASSSPLAGVSDTQYF TRBV9 TRBD2 TRBJ2-3 11 19 27 31 2132 3022.5076 0 TRB CASSPLAGVGETQYF TRBV12-3,TRBV12-4 TRBD2*01 TRBJ2-5*01 HomoSapiens HLA-B*08:01 B2M MHCI RAKFKQLL BZLF1 EBV PMID:21555537 2 1 2.0E-5 TGTGCCAGCAGACCCAGACTAGCGGGAGATCTAAATGAGCAGTTCTTC CASRPRLAGDLNEQFF TRBV7-2 TRBD2 TRBJ2-1 10 16 27 33 3075 3199.9573 0 TRB CAGRPRLAGGNNEQFF TRBV28 TRBJ2-1 HomoSapiens HLA-B*08:01 B2M MHCI RAKFKQLL BZLF1 EBV PMID:23267020,PMID:24512815 4 1 2.0E-5 TGTGCCAGCAGTTACGGAGGGAACACTGAAGCTTTCTTT CASSYGGNTEAFF TRBV6-3 TRBD2 TRBJ1-1 14 15 19 20 8523 3087.122 0 TRB CASSYSGNTEAFF TRBV6-3,TRBV6-2 TRBJ1-1 HomoSapiens HLA-B*07:02 B2M MHCI TPRVTGGGAM p65 CMV PMID:23267020 2 1 2.0E-5 TGCGCCAGCACGAGACTAGCGGGGACGACAGATACGCAGTATTTT CASTRLAGTTDTQYF TRBV5-1 TRBD2 TRBJ2-3 9 13 23 27 7345 3081.2507 280 TRB CASSRLAGGTDTQYF TRBV7-3*01 TRBD2*02 TRBJ2-3*01 HomoSapiens HLA-B*08 B2M MHCI QIKVRVDMV IE1 CMV PMID:23637823 4 1 2.0E-5 TGCGCCAGCACGAGACTAGCGGGGACGACAGATACGCAGTATTTT CASTRLAGTTDTQYF TRBV5-1 TRBD2 TRBJ2-3 9 13 23 27 7345 2805.9316 279 TRB CASSRLAGNTDTQYF TRBV7-3*01 TRBD2*01 TRBJ2-3*01 HomoSapiens HLA-B*08 B2M MHCI QIKVRVDMV IE1 CMV PMID:23637823 2 1 2.0E-5 TGTGCCAGCAGCCGTAGCGGGACTAGCACAGATACGCAGTATTTT CASSRSGTSTDTQYF TRBV11-2 TRBD2 TRBJ2-3 11 14 21 24 5073 2780.5693 0 TRB CASRTGTHTDTQYF TRBV28 TRBJ2-3 HomoSapiens HLA-DRA*01 HLA-DRB1*01 MHCII PKYVKQNTLKLAT HA InfluenzaA PMID:12466894 4 1 2.0E-5 TGTGCCACCGGCGACGGAGATTCCTACGAGCAGTACTTC CATGDGDSYEQYF TRBV15 TRBD2 TRBJ2-7 8 15 18 21 3522 2743.9082 0 TRB CSTGSGEGYEQYF TRBV29-1 TRBD1*01 TRBJ1-5*01 HomoSapiens HLA-B*08:01 B2M MHCI RAKFKQLL BZLF1 EBV PMID:21555537 2 1 2.0E-5 TGTGCCAGCAGCCGGACTAGCGGCACAGATACGCAGTATTTT CASSRTSGTDTQYF TRBV13 TRBD2 TRBJ2-3 11 13 21 22 4389 2771.895 0 TRB CASSRTGSTDTQYF TRBV28 TRBJ2-3 HomoSapiens HLA-DRA*01 HLA-DRB1*01 MHCII PKYVKQNTLKLAT HA InfluenzaA PMID:22314361 3 1 2.0E-5 TGTGCCAGCACCCCAGTGGAGACTGGGGCCAACGTCCTGACTTTC CASTPVETGANVLTF TRBV12-4 TRBD1 TRBJ2-6 9 10 13 22 6880 2758.011 0 TRB CASSPGDTGANVLTF TRBV27 TRBJ2-6 HomoSapiens HLA-A*01:01 B2M MHCI ATDALMTGY NS3 HCV PMID:21160049 2 1 2.0E-5 TGCAGCGTTCGGGACAGCTACGAGCAGTACTTC CSVRDSYEQYF TRBV29-1 TRBD1 TRBJ2-7 8 10 16 17 5884 3053.3677 0 TRB CSVRDGYEQYF TRBV29-1 TRBJ2-7 HomoSapiens HLA-B*08 B2M MHCI EIYKRWII Gag HIV-1 PMID:17287271 2 1 2.0E-5 TGTGCCAGCAGCCCAAGCGGGGCACGGGTCTACGAGCAGTACTTC CASSPSGARVYEQYF TRBV11-2 TRBD2 TRBJ2-7 11 15 21 29 7190 2834.9263 0 TRB CASSELGARVYEQYF TRBV2 TRBJ2-7 HomoSapiens HLA-B*08 B2M MHCI FLKEKGGL Nef HIV-1 PMID:21562156 2 1 2.0E-5 TGTGCCAGCAGCTTAGGGGCGAATAACTATGGCTACACCTTC CASSLGANNYGYTF TRBV11-2 TRBD1 TRBJ1-2 15 16 19 23 1835 3318.7686 0 TRB CASSLGAGNYGYTF TRBV27 TRBD1*01 TRBJ1-2*01 HomoSapiens HLA-B*07:02 B2M MHCI TPRVTGGGAM p65 CMV PMID:21555537 2 1 2.0E-5 TGTGCCAGCAGCTTAGGGGCGAATAACTATGGCTACACCTTC CASSLGANNYGYTF TRBV11-2 TRBD1 TRBJ1-2 15 16 19 23 1835 2776.113 0 TRB CASSLGSGNYGYTF TRBV9 TRBJ1-2 HomoSapiens HLA-A*11:01 B2M MHCI IVTDFSVIK EBNA3b EBV PMID:24512815 4 1 2.0E-5 TGTGCCAGCAGTTACGGGGCAGGGACTGGGGCCAACGTCCTGACTTTC CASSYGAGTGANVLTF TRBV6-5 TRBD1 TRBJ2-6 14 19 23 25 4811 2831.0298 0 TRB CASSLGRGSGANVLTF TRBV6-3,TRBV6-1,TRBV6-2,TRBV6-5,TRBV6-6 TRBD1*01 TRBJ2-6*01 HomoSapiens HLA-A*02:01 B2M MHCI SLYNTVATL p17 CMV PMID:21555537 2 1 2.0E-5 TGTGCCAGCAGCCTAGAAGGCAGGGGCTCTGGGGCCAACGTCCTGACTTTC CASSLEGRGSGANVLTF TRBV11-1 TRBD1 TRBJ2-6 15 20 25 26 6172 3027.529 0 TRB CASSLGRGSGANVLTF TRBV6-3,TRBV6-1,TRBV6-2,TRBV6-5,TRBV6-6 TRBD1*01 TRBJ2-6*01 HomoSapiens HLA-A*02:01 B2M MHCI SLYNTVATL p17 CMV PMID:21555537 2 1 2.0E-5 TGTGCCAGCAGCCTAGAAGGCAGGGGCTCTGGGGCCAACGTCCTGACTTTC CASSLEGRGSGANVLTF TRBV11-1 TRBD1 TRBJ2-6 15 20 25 26 6172 2894.7559 0 TRB CASSLGRGSGANVPTF TRBV6-3,TRBV6-1,TRBV6-2,TRBV6-5,TRBV6-6 TRBD1*01 TRBJ2-6*01 HomoSapiens HLA-A*02:01 B2M MHCI SLYNTVATL p17 CMV PMID:21555537 2 1 2.0E-5 TGTGCCAGCAGCCGACTAGCGGGAAGGGGCACAGATACGCAGTATTTT CASSRLAGRGTDTQYF TRBV28 TRBD2 TRBJ2-3 10 13 23 28 4861 3266.7856 280 TRB CASSRLAGGTDTQYF TRBV7-3*01 TRBD2*02 TRBJ2-3*01 HomoSapiens HLA-B*08 B2M MHCI QIKVRVDMV IE1 CMV PMID:23637823 4 1 2.0E-5 TGTGCCAGCAGCCGACTAGCGGGAAGGGGCACAGATACGCAGTATTTT CASSRLAGRGTDTQYF TRBV28 TRBD2 TRBJ2-3 10 13 23 28 4861 3024.6216 277 TRB CASSRLAGASTDTQYF TRBV7-3*01 TRBD2*01 TRBJ2-3*01 HomoSapiens HLA-B*08 B2M MHCI QIKVRVDMV IE1 CMV PMID:23637823 2 1 2.0E-5 TGCGCCAGCAGCCCTTTAGCGGGAGTCGGGAATGAGCAGTTCTTC CASSPLAGVGNEQFF TRBV4-3 TRBD2 TRBJ2-1 12 16 24 30 7387 3120.613 0 TRB CASSPLAGVGETQYF TRBV12-3,TRBV12-4 TRBD2*01 TRBJ2-5*01 HomoSapiens HLA-B*08:01 B2M MHCI RAKFKQLL BZLF1 EBV PMID:21555537 2 1 2.0E-5 TGCAGTGCTAGCCCCGGGAGGCCAACTAACTATGGCTACACCTTC CSASPGRPTNYGYTF TRBV20-1 TRBD2 TRBJ1-2 10 14 20 25 7466 2882.1914 0 TRB CASSPGQTNYGYTF TRBV7-9 TRBJ1-2 HomoSapiens HLA-B*57 B2M MHCI KAFSPEVIPMF Gag HIV-1 PMID:21562156 2 1 2.0E-5 TGTGCCAGCAGCCCGGGAGGGGGGACAGATACGCAGTATTTT CASSPGGGTDTQYF TRBV4-2 TRBD2 TRBJ2-3 12 13 20 24 7963 3095.4065 0 TRB CASSPGGGKETQYF TRBV7-6 TRBJ2-5 HomoSapiens HLA-B*18 B2M MHCI DEEDAIAAY IE1 CMV PMID:10756006 4 1 2.0E-5 TGTGCCAGCAGCCCTGCTGGGGCCAACGTCCTGACTTTC CASSPAGANVLTF TRBV28 TRBD1 TRBJ2-6 10 11 15 16 8633 3238.7124 0 TRB CASSPSGANVLTF TRBV27 TRBJ2-6*01 HomoSapiens HLA-B*08:01 B2M MHCI RAKFKQLL BZLF1 EBV PMID:21555537 2 1 2.0E-5 TGTGCCACCAGCAGAGGCCAGGGGGCCGCAGATACGCAGTATTTT CATSRGQGAADTQYF TRBV15 TRBD1 TRBJ2-3 11 18 25 28 3706 3315.6396 0 TRB CASSRGQGSADTQYF TRBV5-5 TRBJ2-3 HomoSapiens HLA-A*02:01 B2M MHCI YVLDHLIVV BRLF1 EBV PMID:24512815 4 1 2.0E-5 TGTGCCACCGCCACAGATACGCAGTATTTT CATATDTQYF TRBV2 TRBD2 TRBJ2-3 6 7 10 11 9421 2748.2131 0 TRB CATRSTDTQYF TRBV15 TRBJ2-3*01 HomoSapiens HLA-B*07:02 B2M MHCI GPGHKARVL p24 CMV PMID:21555537 2 1 2.0E-5 TGTGCCAGCAGCCGACAGGGAACCACAGATACGCAGTATTTT CASSRQGTTDTQYF TRBV7-3 TRBD1 TRBJ2-3 11 13 19 23 5370 2769.0376 0 TRB CASSRTGSTDTQYF TRBV28 TRBJ2-3 HomoSapiens HLA-DRA*01 HLA-DRB1*01 MHCII PKYVKQNTLKLAT HA InfluenzaA PMID:22314361 3 1 2.0E-5 TGTGCCAGCACCCGTAGCGGGAGGACCTACGAGCAGTACTTC CASTRSGRTYEQYF TRBV6-3 TRBD2 TRBJ2-7 9 14 23 25 3460 2861.7375 0 TRB CSVTGGGRTYEQYF TRBV29-1 TRBD2*01 TRBJ2-1*01 HomoSapiens HLA-B*07:02 B2M MHCI GPGHKARVL p24 CMV PMID:21555537 2 1 2.0E-5 TGCAGCGTAGGGACTAGCGGATACAATGAGCAGTTCTTC CSVGTSGYNEQFF TRBV29-1 TRBD2 TRBJ2-1 7 9 19 21 8912 3091.7056 0 TRB CSVGTGGTNEKLFF TRBV29-1 TRBD1*01 TRBJ1-4*01,TRBJ1-4 HomoSapiens HLA-A*02:01,HLA-A*02 B2M MHCI GLCTLVAML BMLF1 EBV PMID:12504586,PMID:23267020,PMID:19017975,PMID:21555537,PMID:24512815,PMID:10925283 5 1 2.0E-5 TGTGCCAGCAGTTACACAGGGACTGTAGGCTACACCTTC CASSYTGTVGYTF TRBV6-5 TRBD1 TRBJ1-2 14 15 20 27 4496 3482.3445 0 TRB CASSAYTGTVYGYTF TRBJ1-2*01 HomoSapiens HLA-A*02:01 B2M MHCI NLVPMVATV p65 CMV PMID:24069285 2 1 2.0E-5 TGTGCCACCAGCCCCTGGGGCGGGGGAAAAGAGACCCAGTACTTC CATSPWGGGKETQYF TRBV15 TRBD2 TRBJ2-5 11 19 25 28 6822 3251.4294 0 TRB CASSPGGGKETQYF TRBV7-6 TRBJ2-5 HomoSapiens HLA-B*18 B2M MHCI DEEDAIAAY IE1 CMV PMID:10756006 4 1 2.0E-5 TGTGCCAGCAGCCCTATGACAGGGACTTCTAACTATGGCTACACCTTC CASSPMTGTSNYGYTF TRBV7-2 TRBD1 TRBJ1-2 11 17 23 28 6506 3706.164 0 TRB CASSPTTGTGNYGYTF TRBJ1-2*01 HomoSapiens HLA-A*02:01 B2M MHCI NLVPMVATV p65 CMV PMID:24069285 2 1 2.0E-5 TGTGCCAGCAGCCCTATGACAGGGACTTCTAACTATGGCTACACCTTC CASSPMTGTSNYGYTF TRBV7-2 TRBD1 TRBJ1-2 11 17 23 28 6506 3137.7493 0 TRB CASSPLTGTGVYGYTF TRBJ1-2*01 HomoSapiens HLA-A*02:01 B2M MHCI NLVPMVATV p65 CMV PMID:24069285 5 1 2.0E-5 TGTGCCAGCAGCCCTATGACAGGGACTTCTAACTATGGCTACACCTTC CASSPMTGTSNYGYTF TRBV7-2 TRBD1 TRBJ1-2 11 17 23 28 6506 2858.936 0 TRB CASSPTTGTGHYGYTF TRBV6-5 TRBJ1-2 HomoSapiens HLA-A*02:01 B2M MHCI NLVPMVATV p65 CMV PMID:24512815 4 1 2.0E-5 TGTGCCAGCAGCCCTATGACAGGGACTTCTAACTATGGCTACACCTTC CASSPMTGTSNYGYTF TRBV7-2 TRBD1 TRBJ1-2 11 17 23 28 6506 2818.6575 0 TRB CASSPLTGTGHYGYTF TRBV6-1,TRBV6-5 TRBD1*01 TRBJ1-2*01 HomoSapiens HLA-A*02:01 B2M MHCI NLVPMVATV p65 CMV PMID:21555537 2 1 2.0E-5 TGTGCCAGCAGGCCCCCCGGGGGGGATACGCAGTATTTT CASRPPGGDTQYF TRBV12-4 TRBD2 TRBJ2-3 10 17 23 24 3249 3080.2363 0 TRB CASRPPGGNEQFF TRBV28 TRBJ2-1 HomoSapiens HLA-B*35:01 B2M MHCI EPLPQGQLTAY BZLF1 EBV PMID:16148129 2 1 2.0E-5 TGTGCCAGCAGTGTCCGGGGAGGGGGCGGCACAGATACGCAGTATTTT CASSVRGGGGTDTQYF TRBV6-1 TRBD1 TRBJ2-3 12 20 26 28 6400 2824.8928 0 TRB CASSVEGGGAKETQYF TRBV9*01 HomoSapiens HLA-A*02 B2M MHCI KLVALGINAV ns3 HCV PMID:27252176 7 1 2.0E-5 TGCGCCAGCACCAGGGGGGGAACAGATACGCAGTATTTT CASTRGGTDTQYF TRBV5-1 TRBD1 TRBJ2-3 9 11 17 21 3252 2782.6892 0 TRB CASTQGSTDTQYF TRBV6-5*01 HomoSapiens HLA-A*02 B2M MHCI KLVALGINAV ns3 HCV PMID:27252176 7 1 2.0E-5 TGTGCCAGCAGCCGGACAGGGGAGACAGATACGCAGTATTTT CASSRTGETDTQYF TRBV6-4 TRBD1 TRBJ2-3 10 13 21 24 2957 3348.1702 0 TRB CASSRTGSTDTQYF TRBV28 TRBJ2-3 HomoSapiens HLA-DRA*01 HLA-DRB1*01 MHCII PKYVKQNTLKLAT HA InfluenzaA PMID:22314361 3 1 2.0E-5 TGTGCCAGCAGCTTAATCAGGGGAGGTGGGGCCAACGTCCTGACTTTC CASSLIRGGGANVLTF TRBV7-2 TRBD1 TRBJ2-6 14 17 22 26 4842 3020.7302 0 TRB CASSLGRGSGANVLTF TRBV6-3,TRBV6-1,TRBV6-2,TRBV6-5,TRBV6-6 TRBD1*01 TRBJ2-6*01 HomoSapiens HLA-A*02:01 B2M MHCI SLYNTVATL p17 CMV PMID:21555537 2 1 2.0E-5 TGTGCCAGCAGCTTAATCAGGGGAGGTGGGGCCAACGTCCTGACTTTC CASSLIRGGGANVLTF TRBV7-2 TRBD1 TRBJ2-6 14 17 22 26 4842 2887.957 0 TRB CASSLGRGSGANVPTF TRBV6-3,TRBV6-1,TRBV6-2,TRBV6-5,TRBV6-6 TRBD1*01 TRBJ2-6*01 HomoSapiens HLA-A*02:01 B2M MHCI SLYNTVATL p17 CMV PMID:21555537 2 1 2.0E-5 TGTGCCAGCAGAACCGGGGGGGCTAGCACAGATACGCAGTATTTT CASRTGGASTDTQYF TRBV28 TRBD2 TRBJ2-3 10 14 21 24 3759 3339.3503 0 TRB CASNTGGANTDTQYF TRBV27 TRBD1*01 TRBJ2-3*01 HomoSapiens HLA-B*07:02 B2M MHCI TPRVTGGGAM p65 CMV PMID:21555537 2 1 2.0E-5 TGTGCCAGCAGTGCCGGGACAGGGGGCGGTACAGATACGCAGTATTTT CASSAGTGGGTDTQYF TRBV6-4 TRBD1 TRBJ2-3 12 15 26 30 6406 2804.6104 0 TRB CASSQGTGGGYGYTF TRBV4-2 TRBJ1-2 HomoSapiens HLA-B*08:01 B2M MHCI RAKFKQLL BZLF1 EBV PMID:24512815 4 1 2.0E-5 TGTGCCAGCAATCGCGGGGACACTGAAGCTTTCTTT CASNRGDTEAFF TRBV6-1 TRBD2 TRBJ1-1 9 13 18 19 9141 2867.7366 0 TRB CASSRGDTEAFF TRBV25-1*01 HomoSapiens HLA-A*02 B2M MHCI KLVALGINAV ns3 HCV PMID:27252176 7 1 2.0E-5 TGTGCCAGCACCGGTCCGGGGCTGGGCTACACCTTC CASTGPGLGYTF TRBV13 TRBD1 TRBJ1-2 9 17 21 24 2044 2823.1262 0 TRB CASTGGGYGYTF TRBV19 TRBJ1-2 HomoSapiens HLA-B*57 B2M MHCI KAFSPEVIPMF Gag HIV-1 PMID:17287271 2 1 2.0E-5 TGTGCCAGCAGCCCCTCTGGGGCCAACGTCCTGACTTTC CASSPSGANVLTF TRBV11-2 TRBD1 TRBJ2-6 11 12 13 14 1989 3423.2134 0 TRB CASSPSGANVLTF TRBV27 TRBJ2-6*01 HomoSapiens HLA-B*08:01 B2M MHCI RAKFKQLL BZLF1 EBV PMID:21555537 2 1 2.0E-5 TGTGCCAGCAGTCACAGACTAGCGGGGGGTACAGATACGCAGTATTTT CASSHRLAGGTDTQYF TRBV27 TRBD2 TRBJ2-3 11 16 28 30 6397 2938.0288 280 TRB CASSRLAGGTDTQYF TRBV7-3*01 TRBD2*02 TRBJ2-3*01 HomoSapiens HLA-B*08 B2M MHCI QIKVRVDMV IE1 CMV PMID:23637823 4 1 2.0E-5 TGTGCCAGCAGCCACCGACTAGCGGGGGGCACAGATACGCAGTATTTT CASSHRLAGGTDTQYF TRBV7-6 TRBD2 TRBJ2-3 11 16 27 28 1838 2938.0288 280 TRB CASSRLAGGTDTQYF TRBV7-3*01 TRBD2*02 TRBJ2-3*01 HomoSapiens HLA-B*08 B2M MHCI QIKVRVDMV IE1 CMV PMID:23637823 4 1 2.0E-5 TGTGCCAGCAGGAGGCTAGCGGGGATCAGCACAGATACGCAGTATTTT CASRRLAGISTDTQYF TRBV27 TRBD2 TRBJ2-3 10 15 23 27 4145 2973.8564 277 TRB CASSRLAGASTDTQYF TRBV7-3*01 TRBD2*01 TRBJ2-3*01 HomoSapiens HLA-B*08 B2M MHCI QIKVRVDMV IE1 CMV PMID:23637823 2 1 2.0E-5 TGTGCCAGCAGTTCCCGGACAGGGAGGACCTACGAGCAGTACTTC CASSSRTGRTYEQYF TRBV12-4 TRBD1 TRBJ2-7 12 16 23 28 6937 3039.797 0 TRB CATSDRTGRHEQYF TRBV15 TRBJ2-7 HomoSapiens HLA-B*35:01 B2M MHCI IPSINVHHY p65 CMV PMID:23267020 2 1 2.0E-5 TGTGCCAGCAGTTCCCGGACAGGGAGGACCTACGAGCAGTACTTC CASSSRTGRTYEQYF TRBV12-4 TRBD1 TRBJ2-7 12 16 23 28 6937 2983.1006 122,81 TRB CASSRTGSTYEQYF TRBV5-6*01,TRBV5-6 TRBJ2-3*01,TRBJ2-7 HomoSapiens HLA-B*35:08,HLA-B*35:08:01 B2M MHCI LPEPLPQGQLTAY BZLF1 EBV PMID:15849183,PMID:23569211 7 1 2.0E-5 TGCGCCAGCAGCCCCAGGGACTCTGGGGCCAACGTCCTGACTTTC CASSPRDSGANVLTF TRBV5-1 TRBD1 TRBJ2-6 11 14 18 20 7395 2919.7957 0 TRB CASSPGDTGANVLTF TRBV27 TRBJ2-6 HomoSapiens HLA-A*01:01 B2M MHCI ATDALMTGY NS3 HCV PMID:21160049 2 1 2.0E-5 TGTGCCAGCAGCGTAGATCCAGCGGGGACCTACGAGCAGTACTTC CASSVDPAGTYEQYF TRBV9 TRBD2 TRBJ2-7 15 20 26 28 7258 3087.9631 0 TRB CASSVELAGTYEQYF TRBV7-8*01 HomoSapiens HLA-A*02 B2M MHCI KLVALGINAV ns3 HCV PMID:27252176 7 1 2.0E-5 TGTGCCAGCAGCCAAACCCCAGGGACAGGGGACGGCTACACCTTC CASSQTPGTGDGYTF TRBV7-6 TRBD1 TRBJ1-2 11 21 30 33 7243 2795.7983 99 TRB CASSTTPGTGTETQYF TRBV9*03 TRBJ2-3*01 HomoSapiens HLA-DQA1*03:01:01 HLA-DQB1*03:02:12 MHCII PSGEGSFQPSQENPQ ALPHA-GLIADIN TriticumAestivum PMID:25948817 7 1 2.0E-5 TGTGCCAGCAGCCCCGGGACAGGGGACTACGAGCAGTACTTC CASSPGTGDYEQYF TRBV12-4 TRBD1 TRBJ2-7 10 15 24 26 3482 3668.585 0 TRB CASSPGTGSYEQYF TRBV5-1 TRBJ2-7 HomoSapiens HLA-B*08:01 B2M MHCI RAKFKQLL BZLF1 EBV PMID:24512815 4 1 2.0E-5 TGCAGTGCTAGCCCAGGGTCCGCAAACTATGGCTACACCTTC CSASPGSANYGYTF TRBV20-1 TRBD1 TRBJ1-2 10 13 17 24 3206 2900.2927 0 TRB CASSPGQTNYGYTF TRBV7-9 TRBJ1-2 HomoSapiens HLA-B*57 B2M MHCI KAFSPEVIPMF Gag HIV-1 PMID:21562156 2 1 2.0E-5 TGTGCCAGCAGCCCGGGAGGAAGGGGCAATCAGCCCCAGCATTTT CASSPGGRGNQPQHF TRBV6-3 TRBD2 TRBJ1-5 10 13 19 25 7180 2916.2417 0 TRB CASSPTGAGNQPQHF TRBV7-9 TRBJ1-5 HomoSapiens HLA-B*08:01 B2M MHCI RAKFKQLL BZLF1 EBV PMID:24512815 4 1 2.0E-5 TGCGCCAGCAGCTTGGGCTCGGCGGGGAACTATGGCTACACCTTC CASSLGSAGNYGYTF TRBV5-1 TRBD2 TRBJ1-2 15 21 26 27 5127 2871.1433 0 TRB CASSLGAGNYGYTF TRBV27 TRBD1*01 TRBJ1-2*01 HomoSapiens HLA-B*07:02 B2M MHCI TPRVTGGGAM p65 CMV PMID:21555537 2 1 2.0E-5 TGTGCCAGCAGCCGAGCTAACTATGGCTACACCTTC CASSRANYGYTF TRBV7-2 TRBD2 TRBJ1-2 11 13 15 16 9100 2795.6492 145,146,148,194 TRB CASSSANYGYTF TRBV12-4*01,TRBV8, TRBV12-3,TRBV12-4 TRBD2,TRBD1,TRBD2 TRBJ1-2*01,TRBJ1-2,TRBJ1 HomoSapiens HLA-A*02:01 B2M MHCI NLVPMVATV p65 CMV PMID:16237109,PMID:19017975,PMID:24711416,PMID:19864595 4 1 2.0E-5 TGTGCCAGCAGCCTGACCGGTAGTGGCAATCAGCCCCAGCATTTT CASSLTGSGNQPQHF TRBV5-6 TRBD2 TRBJ1-5 11 20 23 25 3407 3123.441 0 TRB CASSPTGAGNQPQHF TRBV7-9 TRBJ1-5 HomoSapiens HLA-B*08:01 B2M MHCI RAKFKQLL BZLF1 EBV PMID:24512815 4 1 2.0E-5 TGTGCCAGCAGCCTGACCGGTAGTGGCAATCAGCCCCAGCATTTT CASSLTGSGNQPQHF TRBV5-6 TRBD2 TRBJ1-5 11 20 23 25 3407 2766.7292 0 TRB CASSLTEAGNQPHHF TRBV7-9 TRBJ1-5 HomoSapiens HLA-B*08:01 B2M MHCI RAKFKQLL BZLF1 EBV PMID:23267020,PMID:24512815 4 1 2.0E-5 TGTGCCAGCAGCCGTCAGGCTCGGAGCACAGATACGCAGTATTTT CASSRQARSTDTQYF TRBV6-3 TRBD1 TRBJ2-3 10 15 18 24 3409 2738.512 281 TRB CASSRLAASTDTQYF TRBV7-3*01 TRBD2*01 TRBJ2-3*01 HomoSapiens HLA-B*08 B2M MHCI QIKVRVDMV IE1 CMV PMID:23637823 4 1 2.0E-5 TGCAGTGCTAGGGGACAGGGAGTCTATGGCTACACCTTC CSARGQGVYGYTF TRBV20-1 TRBD1 TRBJ1-2 10 11 19 23 5662 3024.4148 0 TRB CSARGQAIYGYTF TRBV20-1 TRBJ1-2 HomoSapiens HLA-DRA*01 HLA-DRB1*01 MHCII PKYVKQNTLKLAT HA InfluenzaA PMID:12466894 2 1 2.0E-5 TGTGCCAGCAGTCCAATAACCGGGACAGGGGGCTCAGAGCAGTACTTC CASSPITGTGGSEQYF TRBV9 TRBD1 TRBJ2-7 10 21 32 36 4817 2737.3733 0 TRB CASSPTTGTGNYGYTF TRBJ1-2*01 HomoSapiens HLA-A*02:01 B2M MHCI NLVPMVATV p65 CMV PMID:24069285 2 1 2.0E-5 TGTGCCAGTAAACCGAGGGGGGGCCGAGAGACCCAGTACTTC CASKPRGGRETQYF TRBV19 TRBD2 TRBJ2-5 9 16 22 26 7631 2808.1292 0 TRB CASIPEGGRETQYF TRBV7-8 TRBJ2-5 HomoSapiens HLA-A*02:01 B2M MHCI GLCTLVAML BMLF1 EBV PMID:23267020 2 1 2.0E-5 TGTGCCAGCAGTCTACCGGGACAGGGGGGCAACGAGCAGTACTTC CASSLPGQGGNEQYF TRBV28 TRBD1 TRBJ2-7 11 17 27 31 2908 2805.1165 0 TRB CASSRPGQGGYEQYF TRBV27 TRBJ2-7 HomoSapiens HLA-A*02:01 B2M MHCI NLVPMVATV p65 CMV PMID:19017975 2 1 2.0E-5 TGCAGCGTCAAAGGGGGGGATGCTTACAATGAGCAGTTCTTC CSVKGGDAYNEQFF TRBV29-1 TRBD2 TRBJ2-1 7 12 18 24 1985 2790.6868 0 TRB CSVKGGFPYNEQFF TRBV29-1 TRBD2*01 TRBJ2-1*01 HomoSapiens HLA-B*08:01 B2M MHCI RAKFKQLL BZLF1 EBV PMID:21555537 2 1 2.0E-5 TGTGCCAGCAGCCTGCGGGGTGAGACCCAGTACTTC CASSLRGETQYF TRBV3-1 TRBD2 TRBJ2-5 12 14 19 21 9088 3057.1763 0 TRB CASSLRGETQYF TRBV5-1 TRBD1*01 TRBJ2-5*01 HomoSapiens HLA-B*07:02 B2M MHCI GPGHKARVL p24 CMV PMID:21555537 2 1 2.0E-5 TGTGCCAGCAGAGAAGCCTACGAGCAGTACTTC CASREAYEQYF TRBV28 TRBD1 TRBJ2-7 10 12 13 16 9357 2890.1938 0 TRB CASRETYEQYF TRBV2 TRBJ2-7 HomoSapiens HLA-A*01:01 B2M MHCI ATDALMTGY NS3 HCV PMID:21160049 2 1 2.0E-5 TGTGCCAGCAGCCCAGGCGGGGGAGAGACCCAGTACTTC CASSPGGGETQYF TRBV11-2 TRBD2 TRBJ2-5 11 16 22 23 8649 2738.665 0 TRB CASSPGGGKETQYF TRBV7-6 TRBJ2-5 HomoSapiens HLA-B*18 B2M MHCI DEEDAIAAY IE1 CMV PMID:10756006 4 1 2.0E-5 TGCGCCAGCAGAGCCGGGACAGGGGGCCGGTACGAGCAGTACTTC CASRAGTGGRYEQYF TRBV5-1 TRBD1 TRBJ2-7 10 15 26 30 7445 3017.6501 0 TRB CASRVGTGNLYEQYF TRBV27 TRBJ2-7 HomoSapiens HLA-B*07:02 B2M MHCI TPRVTGGGAM p65 CMV PMID:23267020,PMID:24512815 5 1 2.0E-5 TGCAGCGTTGGGACAGGGGGGTACGAGCAGTACTTC CSVGTGGYEQYF TRBV29-1 TRBD1 TRBJ2-7 9 10 19 21 9235 2805.2908 0 TRB CSVGAGEGYEQYF TRBV29-1 TRBD2*02 TRBJ2-7*01 HomoSapiens HLA-B*08:01 B2M MHCI RAKFKQLL BZLF1 EBV PMID:21555537 2 1 2.0E-5 TGTGCCAGCAGCCCTCAGGTAGCGGGAGGCCCCTACAATGAGCAGTTCTTC CASSPQVAGGPYNEQFF TRBV7-2 TRBD2 TRBJ2-1 11 19 28 31 4748 2833.1707 138 TRB CASSLVVAGGPMSEQFF TRBV28 TRBJ2-1 HomoSapiens HLA-B*35:01 B2M MHCI EPLPQGQLTAY BZLF1 EBV PMID:16148129 4 1 2.0E-5 TGCGCCAGCAGCAACGACAGGGGGGCTACCTACGAGCAGTACTTC CASSNDRGATYEQYF TRBV4-3 TRBD1 TRBJ2-7 11 15 23 28 3769 2775.7903 0 TRB CASMNDGATYEQYF TRBV5-1 TRBD2*01 TRBJ2-7*01 HomoSapiens HLA-A*02:01 B2M MHCI NLVPMVATV p65 CMV PMID:21555537 2 1 2.0E-5 TGCGCCAGCAGGTACTTAGCGGGAGGTAATAATGAGCAGTTCTTC CASRYLAGGNNEQFF TRBV5-1 TRBD2 TRBJ2-1 10 16 25 30 3770 2837.6763 0 TRB CAGRPRLAGGNNEQFF TRBV28 TRBJ2-1 HomoSapiens HLA-B*08:01 B2M MHCI RAKFKQLL BZLF1 EBV PMID:23267020,PMID:24512815 4 1 2.0E-5 TGCGCCAGCAGGTACTTAGCGGGAGGTAATAATGAGCAGTTCTTC CASRYLAGGNNEQFF TRBV5-1 TRBD2 TRBJ2-1 10 16 25 30 3770 2790.1726 0 TRB CASRLLAGGDNEQFF TRBJ2-1*01 HomoSapiens HLA-A*02:01 B2M MHCI NLVPMVATV p65 CMV PMID:24069285 2 1 2.0E-5 TGTGCCAGCAGTCCCCCCGGCAGGGGGTGGACAGATACGCAGTATTTT CASSPPGRGWTDTQYF TRBV25-1 TRBD1 TRBJ2-3 11 20 26 30 6390 2913.2625 0 TRB CASSPPGAGEGETQYF TRBV28 TRBJ2-5 HomoSapiens HLA-DRA*01 HLA-DRB1*01 MHCII PKYVKQNTLKLAT HA InfluenzaA PMID:22314361 3 1 2.0E-5 TGCAGTGCTCGCGACAGGGGGCGGATCGAGACCCAGTACTTC CSARDRGRIETQYF TRBV20-1 TRBD1 TRBJ2-5 8 12 21 27 3505 2815.634 0 TRB CSARDRGLGNTIYF TRBV20-1 TRBJ1-3 HomoSapiens HLA-A*02:01 B2M MHCI GLCTLVAML BMLF1 EBV PMID:12504586 3 1 2.0E-5 TGTGCCAGCAGTTACTCGACAGTCAATGAGCAGTTCTTC CASSYSTVNEQFF TRBV6-5 TRBD1 TRBJ2-1 16 17 21 23 8518 3492.6934 0 TRB CASSYSTVNEQFF TRBV6-1,TRBV6-5 TRBD2*01 TRBJ2-1*01 HomoSapiens HLA-B*07:02 B2M MHCI TPRVTGGGAM p65 CMV PMID:21555537 2 1 2.0E-5 TGCAGCGTTGGAGGAGCGGGGGAGCAGTACTTC CSVGGAGEQYF TRBV29-1 TRBD2 TRBJ2-7 9 14 20 21 9393 3106.7996 0 TRB CSVGGAYEQYF TRBV29-1 TRBJ2-7 HomoSapiens HLA-B*07:02 B2M MHCI RPPIFIRRL EBNA3A EBV PMID:23267020 4 1 2.0E-5 TGCAGCGTTGGAGGAGCGGGGGAGCAGTACTTC CSVGGAGEQYF TRBV29-1 TRBD2 TRBJ2-7 9 14 20 21 9393 3106.7996 0 TRB CSVGGAYEQYF TRBV29-1 TRBJ2-7 HomoSapiens HLA-B*07:02 B2M MHCI RPPIFIRRL EBNA3a EBV PMID:24512815 4 1 2.0E-5 TGTGCCAGCAGTTACTCGCGGGGGGCGGGTAATGAGCAGTTCTTC CASSYSRGAGNEQFF TRBV6-5 TRBD2 TRBJ2-1 16 17 24 30 6950 3117.0518 0 TRB CASSYSRGAGNTIYF TRBV6-6 TRBJ1-3 HomoSapiens HLA-A*03 B2M MHCI QVPLRPMTYK Nef HIV-1 PMID:17287271 2 1 2.0E-5 TGCAGTGCTAGCCTTACAGGGGTCAAAAACATTCAGTACTTC CSASLTGVKNIQYF TRBV20-1 TRBD1 TRBJ2-4 10 15 21 23 8225 2947.293 0 TRB CASSLNTGVKNIQYF TRBV5-1 TRBD2*01 TRBJ2-4*01 HomoSapiens HLA-B*07:02 B2M MHCI GPGHKARVL p24 CMV PMID:21555537 2 1 2.0E-5 TGCAGCGTTGCTGGGGGGAGAACCTACGAGCAGTACTTC CSVAGGRTYEQYF TRBV29-1 TRBD2 TRBJ2-7 9 12 17 22 2100 3260.6086 0 TRB CSVTGGGRTYEQYF TRBV29-1 TRBD2*01 TRBJ2-1*01 HomoSapiens HLA-B*07:02 B2M MHCI GPGHKARVL p24 CMV PMID:21555537 2 1 2.0E-5 TGCAGCGTTCCCGGGACTAGCGGCAATGAGCAGTTCTTC CSVPGTSGNEQFF TRBV29-1 TRBD2 TRBJ2-1 8 12 22 23 5680 3767.9333 0 TRB CSVPGTDYNEQFF TRBV29-1 TRBD1*01 TRBJ2-1*01 HomoSapiens HLA-A*02:01 B2M MHCI GLCTLVAML BMLF1 EBV PMID:21555537 2 1 2.0E-5 TGTGCCAGCAGCCTCGGGGCCAGCACAGATACGCAGTATTTT CASSLGASTDTQYF TRBV7-2 TRBD1 TRBJ2-3 11 15 19 21 2432 3086.53 0 TRB CASSLGASTDTQYF TRBV7-9 TRBJ2-3 HomoSapiens HLA-B*07:02 B2M MHCI RPPIFIRRL EBNA3A EBV PMID:23267020 4 1 2.0E-5 TGTGCCAGCAGCCTCGGGGCCAGCACAGATACGCAGTATTTT CASSLGASTDTQYF TRBV7-2 TRBD1 TRBJ2-3 11 15 19 21 2432 3086.53 0 TRB CASSLGASTDTQYF TRBV7-9 TRBJ2-3 HomoSapiens HLA-B*07:02 B2M MHCI RPPIFIRRL EBNA3a EBV PMID:24512815 4 1 2.0E-5 TGTGCCAGCAGTTCCCGGGACAGGGGCGCGACCCAGTACTTC CASSSRDRGATQYF TRBV7-2 TRBD1 TRBJ2-5 10 16 25 29 7718 2999.8174 0 TRB CASSSRDRGAYEQYF TRBV7-9 TRBD1*01 TRBJ2-7*01 HomoSapiens HLA-B*07:02 B2M MHCI TPRVTGGGAM p65 CMV PMID:21555537 2 1 2.0E-5 TGTGCCAGCACGAGCCAGACAGGGCGAGGCTATGGCTACACCTTC CASTSQTGRGYGYTF TRBV28 TRBD1 TRBJ1-2 9 17 23 29 3387 2868.1152 0 TRB CASTPQTGTGTYGYTF TRBV6-1,TRBV6-5 TRBD1*01 TRBJ1-2*01 HomoSapiens HLA-A*02:01 B2M MHCI NLVPMVATV p65 CMV PMID:21555537 2 1 2.0E-5 TGTGCCAGCTCACCAGGGACCTCCTACGAGCAGTACTTC CASSPGTSYEQYF TRBV18 TRBD1 TRBJ2-7 14 15 19 20 8459 2764.325 0 TRB CASSPGTGSYEQYF TRBV5-1 TRBJ2-7 HomoSapiens HLA-B*08:01 B2M MHCI RAKFKQLL BZLF1 EBV PMID:24512815 4 1 2.0E-5 TGTGCCAGCAGCTTGGGGCTAGCGGGGGGAGAGACCCAGTACTTC CASSLGLAGGETQYF TRBV5-6 TRBD2 TRBJ2-5 15 18 28 29 3101 2975.813 0 TRB CASSLGLAGGGDTQYF TRBV5-4 TRBJ2-3 HomoSapiens HLA-DRA*01 HLA-DRB1*01 MHCII PKYVKQNTLKLAT HA InfluenzaA PMID:22314361 3 1 2.0E-5 TGTGCCAGCAGCCCAGGGACAGGGGTTTTTACAGATACGCAGTATTTT CASSPGTGVFTDTQYF TRBV7-2 TRBD1 TRBJ2-3 11 15 24 30 6533 2931.0688 0 TRB CASSVGAGVFTDTQYF TRBV9 TRBD2*02 TRBJ2-3*01 HomoSapiens HLA-A*02:01 B2M MHCI NLVPMVATV p65 CMV PMID:21555537 2 vdjtools-1.2.1+git20190311/.travis.yml000644 001750 001750 00000000735 13525023773 020244 0ustar00moellermoeller000000 000000 language: groovy jdk: openjdk8 install: - curl -OL https://raw.githubusercontent.com/metacran/r-builder/master/pkg-build.sh - chmod 755 pkg-build.sh - ./pkg-build.sh bootstrap - export PATH="$PATH:`./pkg-build.sh r_path`" script: - ./gradlew build - java -jar build/libs/vdjtools-*.jar RInstall - wget https://github.com/mikessh/vdjtools-examples/releases/download/1.1/aging_lite.zip - unzip aging_lite.zip - chmod +x travis.post.sh - bash travis.post.shvdjtools-1.2.1+git20190311/vdjtools000755 001750 001750 00000005734 13525023773 017731 0ustar00moellermoeller000000 000000 #!/bin/bash java="java" sedString="s/.*1\.\(.*\)\..*/\1/" jVersion=$($java -version 2>&1 | grep version | awk '{ print $3 }' | sed $sedString) if [[ $jVersion -lt 7 ]]; then echo "Wrong java version. Please use Java 7 or higher." exit 1 fi # Linux readlink -f alternative for Mac OS X function readlinkUniversal() { targetFile=$1 cd `dirname $targetFile` targetFile=`basename $targetFile` # iterate down a (possible) chain of symlinks while [ -L "$targetFile" ] do targetFile=`readlink $targetFile` cd `dirname $targetFile` targetFile=`basename $targetFile` done # compute the canonicalized name by finding the physical path # for the directory we're in and appending the target file. phys_dir=`pwd -P` result=$phys_dir/$targetFile echo $result } os=`uname` delta=100 dir="" case $os in Darwin) freeBlocks=$(vm_stat | grep free | awk '{ print $3 }' | sed 's/\.//') inactiveBlocks=$(vm_stat | grep inactive | awk '{ print $3 }' | sed 's/\.//') speculativeBlocks=$(vm_stat | grep speculative | awk '{ print $3 }' | sed 's/\.//') freeMb=$((($freeBlocks+$speculativeBlocks)*4096/1048576)) inactiveMb=$(($inactiveBlocks*4096/1048576)) maxMb=$((($freeMb+$inactiveMb-$delta))) dir=$(dirname "$(readlinkUniversal "$0")") ;; Linux) rFreeMb=$(free -m | grep Mem | awk '{ print $4 }') maxMb=$(($rFreeMb-$delta)) dir="$(dirname "$(readlink -f "$0")")" ;; *) echo "Unknown OS." exit 1 ;; esac vdjtools=${dir}/vdjtools vdjtoolsArgs=() javaArgs=() needXmxXms=true otherJar="" while [[ $# > 0 ]] do key="$1" shift case $key in -D*|-X*|-ea|-agentlib*) javaArgs+=(${key}) case $key in -Xmx*|-Xms*) needXmxXms=false ;; esac ;; -jar|-V) otherJar="$1" shift ;; *) vdjtoolsArgs+=("${key}") ;; esac done if [[ ${needXmxXms} == true ]] then targetXmx=12000 if [[ $targetXmx -gt $maxMb ]]; then targetXmx=$maxMb fi javaArgs+=("-Xmx${targetXmx}m") targetXms=$((${targetXmx}*2/3)) if [[ $targetXms -lt 2000 ]]; then targetXms=$targetXmx fi javaArgs+=("-Xms${targetXms}m") fi jar="" if [[ -z "$otherJar" ]]; then for j in "$dir/../jar/vdjtools-1.2.1.jar" "$dir/vdjtools-1.2.1.jar" $(ls -d -1 $dir/target/* 2> /dev/null | grep distribution.jar) do if [[ -e "$j" ]]; then jar=$j break fi done else for j in $(ls -1 ${dir}/* | grep "vdjtools" | grep ".jar" | grep ${otherJar}); do if [[ -e "$j" ]]; then jar=$j break fi done fi if [[ "$jar" == "" ]]; then echo "No jar." exit 1 fi $java -XX:+AggressiveOpts "${javaArgs[@]}" -jar $jar "${vdjtoolsArgs[@]}" vdjtools-1.2.1+git20190311/jitpack.yaml000644 001750 001750 00000000022 13525023773 020431 0ustar00moellermoeller000000 000000 jdk: - openjdk10

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