Mercurial > repos > bgruening > hicexplorer_hicplotmatrix
diff hicPlotMatrix.xml @ 5:c3703afea1b1 draft
planemo upload for repository https://github.com/maxplanck-ie/HiCExplorer/tree/master/galaxy/wrapper/ commit 80462804e4fd7deafbcf8e8c5283cc7a98fa7dd5
author | bgruening |
---|---|
date | Sat, 30 Dec 2017 09:21:50 -0500 |
parents | fd5e51d2b558 |
children | f93a78bc045e |
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--- a/hicPlotMatrix.xml Sat Dec 16 16:30:53 2017 -0500 +++ b/hicPlotMatrix.xml Sat Dec 30 09:21:50 2017 -0500 @@ -1,4 +1,4 @@ -<tool id="hicexplorer_hicplotmatrix" name="@BINARY@" version="@WRAPPER_VERSION@.1"> +<tool id="hicexplorer_hicplotmatrix" name="@BINARY@" version="@WRAPPER_VERSION@.0"> <description>Plots a HiC matrix heatmap</description> <macros> <token name="@BINARY@">hicPlotMatrix</token> @@ -6,11 +6,20 @@ </macros> <expand macro="requirements" /> <command detect_errors="exit_code"><![CDATA[ - ln -s '$matrix' input_matrix.h5 && + #if str($pca_conditional.pca_type) == 'bedgraph': + ln -s $pca_conditional.pca_bedgraph pca.bedgraph && + #set $pca = '--pca pca.bedgraph' + #elif str($pca_conditional.pca_type) == 'bigwig': + ln -s $pca_conditional.pca_bigwig pca.bw && + #set $pca = '--pca pca.bw' + #elif str($pca_conditional.pca_type) == '': + #set $pca = '' + #end if + @BINARY@ - --matrix input_matrix.h5 + --matrix '$matrix_h5_cooler' #if $title and $title is not None: --title '$title' @@ -20,15 +29,11 @@ --scoreName '$scoreName' #end if - --outFileName plot.$image_file_format $perChromosome $clearMaskedBins - --whatToShow heatmap - - ## special: --chromosomeOrder is optional, but if given needs at least one argument #set chroms = '" "'.join([ str($var.chromosome) for $var in $chromosomeOrder ]) #if chroms: @@ -57,11 +62,14 @@ --vMax $vMax #end if + $pca + && mv plot.$image_file_format plot ]]> </command> <inputs> - <param argument="--matrix" type="data" format="h5" label="Hi-C matrix to plot"/> + <expand macro='matrix_h5_cooler_macro' /> + <param argument="--title" type="text" optional="true" label="Plot title"/> <param argument="--scoreName" type="text" optional="true" label="Score name"/> <param argument="--perChromosome" type="boolean" truevalue="--perChromosome" falsevalue="" checked="false" @@ -88,6 +96,23 @@ <param argument="--vMin" type="float" optional="true" label="vMin"/> <param argument="--vMax" type="float" optional="true" label="vMax"/> + + <conditional name="pca_conditional"> + <param name='pca_type' label='Datatype of eigenvector file' type='select'> + <option value='' selected="true"></option> + <option value='bedgraph'>bedgraph</option> + <option value='bigwig'>bigwig</option> + </param> + <when value='' /> + <when value='bedgraph'> + <param name='pca_bedgraph' type="data" format="bedgraph" + label="Eigenvector file"/> + </when> + <when value='bigwig'> + <param name='pca_bigwig' type="data" format="bigwig" + label="Eigenvector file"/> + </when> + </conditional> <param name="image_file_format" type="select" label="Image output format"> <option value="png" selected="True">png</option> <option value="svg">svg</option> @@ -102,30 +127,63 @@ </outputs> <tests> <test> - <param name="matrix" ftype="h5" value="Li_et_al_2015.h5"/> + <param name="matrix_h5_cooler" value="Li_et_al_2015.h5"/> + <conditional name="pca_conditional"> + <param name="pca_type" value=''/> + </conditional> <param name="region" value="chrX:3000000-3500000"/> <param name="region2" value="chrX:3100000-3600000"/> <param name="log1p" value="True"/> <param name="clearMaskedBins" value="True"/> - <!-- <param name="whatToShow_select" value="heatmap"/> --> <param name="image_file_format" value="png" /> <output name="outFileName" file="master_matrix_plot.png" ftype="png" compare="sim_size"/> </test> + <test> + <param name="matrix_h5_cooler" value="Li_et_al_2015.cool"/> + <conditional name="pca_conditional"> + <param name="pca_type" value=''/> + </conditional> + <param name="region" value="X:3000000-3500000"/> + <param name="image_file_format" value="png" /> + <output name="outFileName" file="Li_chrX30-35_cool.png" ftype="png" compare="sim_size"/> + </test> + <test> + <param name="matrix_h5_cooler" value="pearson_small_50kb.cool"/> + <param name="perChromosome" value="True"/> + <conditional name="pca_conditional"> + <param name="pca_type" value='bedgraph'/> + <param name="pca_bedgraph" value="pca1.bedgraph"/> + </conditional> + <param name='colormap' value='hot'/> + <param name="image_file_format" value="svg" /> + <output name="outFileName" file="small_matrix_50kb_pearson_pca1_plot.svg" ftype="svg" compare="sim_size" delta='35000'/> + </test> + <test> + <param name="matrix_h5_cooler" value="pearson_small_50kb.h5"/> + <param name="perChromosome" value="True"/> + <conditional name="pca_conditional"> + <param name="pca_type" value='bigwig'/> + <param name="pca_bigwig" value="pca1.bw"/> + </conditional> + <param name='colormap' value='hot'/> + + <param name="image_file_format" value="svg" /> + <output name="outFileName" file="small_matrix_50kb_pearson_pca1_plot.svg" ftype="svg" compare="sim_size" delta='35000'/> + </test> </tests> <help><![CDATA[ Contact matrix plot ======================= ``hicPlotMatrix`` is a visualization tool for a contact matrix. It supports to plot the whole contact matrix, one or more chromosomes, a region or two regions against each other. - -.. Additional it can plot the result of a principal component analysis to have a better understanding of A / B compartments. + Additional it can plot the result of a principal component analysis to have a better understanding of A / B compartments. Input ----- Parameters __________ -- the contact matrix +- the contact matrix: h5 or cool file format. - A title for the plot - Score name - per chromosome @@ -135,8 +193,7 @@ - log / log1p of the values: It is recommended to use log1p. - Colormaps_ for the heatmap. - vMin / vMax - -.. - principal component: a bedgraph file +- principal component: a bedgraph or bigwig file containing eigenvector information Output ------ @@ -144,7 +201,7 @@ The contact matrix plotted for chromosome 1. .. image:: SRR027956.svg - :width: 70% + :width: 60% The contact matrix used with ``--perChr`` and the first eigenvector from the tool ``hicPCA``. For this plot a pearson correlated matrix was used which is computed by creating first an observed / expected matrix and second a pearson correlation matrix. These matricies can be computed with ``hicChangeMatrixType``. The used Hi-C data were published by `Lieberman-Aiden <https://doi.org/10.1126/science.1181369>`_ in 2009, `GSE18199 <https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE18199>`_.