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view cummerbund_wrapper.xml @ 9:2c77d218c8fd
adds display_in_upload=true for sqlite datatype
author | Carlos Borroto <carlos.borroto@gmail.com> |
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date | Wed, 15 Feb 2012 13:37:44 -0500 |
parents | fa50a3392110 |
children | 83e258983696 |
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<tool id="cummerbund" name="cummeRbund" version="0.0.3"> <description>R package designed to aid and simplify the task of analyzing Cufflinks RNA-Seq output</description> <command interpreter="python"> cummerbund_wrapper.py --r-script ${script_file} --html-report-from-directory "${output_html}" "${output_html.files_path}" </command> <inputs> <conditional name="backend_database_source"> <param name="backend_database_selector" type="select" label="Will you select a backend database file from the history or do you want to build a new one using cuffdiff output?"> <option value="history" selected="true">Use backend database from the history</option> <option value="cuffdiff_output">Build backend database using cuffdiff output</option> </param> <when value="cuffdiff_output"> <param format="tabular" name="isoforms_fpkm_tracking" type="data" label="Transcript FPKM tracking"/> <param format="tabular" name="isoforms_exp" type="data" label="Transcript differential expression testing"/> <param format="tabular" name="genes_fpkm_tracking" type="data" label="Gene FPKM tracking"/> <param format="tabular" name="genes_exp" type="data" label="Gene differential expression testing"/> <param format="tabular" name="tss_groups_fpkm_tracking" type="data" label="TSS groups FPKM tracking"/> <param format="tabular" name="tss_groups_exp" type="data" label="TSS groups differential expression testing"/> <param format="tabular" name="cds_fpkm_tracking" type="data" label="CDS FPKM tracking"/> <param format="tabular" name="cds_exp_diff" type="data" label="CDS FPKM differential expression testing"/> <param format="tabular" name="cds_diff" type="data" label="CDS overloading diffential expression testing"/> <param format="tabular" name="promoters_diff" type="data" label="Promoters differential expression testing"/> <param format="tabular" name="splicing_diff" type="data" label="Splicing differential expression testing"/> <param name="rebuild" type="hidden" value="TRUE"/> </when> <when value="history"> <param name="input_database" type="data" format="data" label="Select backend database (sqlite)"/> </when> </conditional> <repeat name="plots" title="Plots"> <param name="width" type="text" value="1280" label="The width of the image"/> <param name="height" type="text" value="960" label="The height of the image"/> <conditional name="plot"> <param name="type" type="select" label="Plot type"> <option value="density" selected="true">Density</option> <option value="boxplot">Boxplot</option> <option value="scatter">Scatter</option> <option value="volcano">Volcano</option> <option value="heatmap">Heatmap</option> <option value="cluster">Cluster</option> <option value="expressionplot">Expression Plot</option> <option value="expressionbarplot">Expression Bar Plot</option> </param> <when value="density"> <param name="log_mode" type="boolean" truevalue="T" falsevalue="F" checked="True" label="Apply log10 transformation on FPKM values?"/> </when> <when value="boxplot"> <param name="log_mode" type="boolean" truevalue="T" falsevalue="F" checked="True" label="Apply log10 transformation on FPKM values?"/> </when> <when value="scatter"> <param name="x" type="text" label="Sample name for x axis"/> <param name="y" type="text" label="Sample name for y axis"/> <param name="log_mode" type="boolean" truevalue="T" falsevalue="F" checked="True" label="Apply log10 transformation on FPKM values?"/> <param name="smooth" type="boolean" truevalue="T" falsevalue="F" checked="True" label="Add a smooth-fit regression line"/> <conditional name="multiple_genes"> <param name="multiple_genes_selector" type="boolean" truevalue="T" falsevalue="F" checked="False" label="Limit plot to a group of genes?"/> <when value="T"> <param name="features" type="select" label="Expression levels to plot?"> <option value="gene" selected="true">Genes</option> <option value="isoforms">Isoforms</option> <option value="tss">TSS</option> <option value="cds">CDS</option> </param> <repeat name="genes" title="Genes"> <param name="gene_id" type="text" label="Gene ID"/> </repeat> </when> <when value="F"/> </conditional> </when> <when value="volcano"> <param name="x" type="text" label="First sample name for comparison"/> <param name="y" type="text" label="Second sample name for comparison"/> <conditional name="multiple_genes"> <param name="multiple_genes_selector" type="boolean" truevalue="T" falsevalue="F" checked="False" label="Limit plot to a group of genes?"/> <when value="T"> <param name="features" type="select" label="Expression levels to plot?"> <option value="gene" selected="true">Genes</option> <option value="isoforms">Isoforms</option> <option value="tss">TSS</option> <option value="cds">CDS</option> </param> <repeat name="genes" title="Genes"> <param name="gene_id" type="text" label="Gene ID"/> </repeat> </when> <when value="F"/> </conditional> </when> <when value="heatmap"> <param name="features" type="select" label="Expression levels to plot?"> <option value="gene" selected="true">Genes</option> <option value="isoforms">Isoforms</option> <option value="tss">TSS</option> <option value="cds">CDS</option> </param> <repeat name="genes" title="Genes"> <param name="gene_id" type="text" label="Gene ID"/> </repeat> <param name="clustering" type="select" label="Cluster by"> <option value="row">Row</option> <option value="column">Column</option> <option value="both" selected="true">Both</option> <option value="none">None</option> </param> <param name="labcol" type="boolean" truevalue="TRUE" falsevalue="FALSE" checked="True" label="Display column labels?"/> <param name="labrow" type="boolean" truevalue="TRUE" falsevalue="FALSE" checked="True" label="Display column labels?"/> <param name="log_mode" type="boolean" truevalue="T" falsevalue="F" checked="True" label="Apply log10 transformation on FPKM values?"/> <param name="border" type="boolean" truevalue="TRUE" falsevalue="FALSE" checked="False" label="Draw border around plot?"/> </when> <when value="cluster"> <param name="features" type="select" label="Expression levels to plot?"> <option value="gene" selected="true">Genes</option> <option value="isoforms">Isoforms</option> <option value="tss">TSS</option> <option value="cds">CDS</option> </param> <repeat name="genes" title="Genes"> <param name="gene_id" type="text" label="Gene ID"/> </repeat> <param name="k" type="text" label="Number of pre-defined clusters to attempt to find."/> <param name="iter_max" type="text" value="100" label="Max iterations"/> </when> <when value="expressionplot"> <param name="features" type="select" label="Expression levels to plot?"> <option value="gene" selected="true">Genes</option> <option value="isoforms">Isoforms</option> <option value="tss">TSS</option> <option value="cds">CDS</option> </param> <param name="gene_id" type="text" label="Gene ID"/> <param name="log_mode" type="boolean" truevalue="T" falsevalue="F" checked="True" label="Apply log10 transformation on FPKM values?"/> <param name="draw_summary" type="boolean" truevalue="TRUE" falsevalue="FALSE" checked="False" label="Draw a 'summary' line with mean FPKM values for each condition?"/> <param name="show_error_bars" type="boolean" truevalue="TRUE" falsevalue="FALSE" checked="True" label="Draw error bars?"/> </when> <when value="expressionbarplot"> <param name="features" type="select" label="Expression levels to plot?"> <option value="gene" selected="true">Genes</option> <option value="isoforms">Isoforms</option> <option value="tss">TSS</option> <option value="cds">CDS</option> </param> <param name="gene_id" type="text" label="Gene ID"/> <param name="log_mode" type="boolean" truevalue="T" falsevalue="F" checked="True" label="Apply log10 transformation on FPKM values?"/> <param name="show_error_bars" type="boolean" truevalue="TRUE" falsevalue="FALSE" checked="True" label="Draw error bars?"/> </when> </conditional> </repeat> </inputs> <outputs> <data format="data" name="output_database" label="${tool.name} on ${on_string}: Database File (sqlite)"> <filter>backend_database_source['backend_database_selector'] == "cuffdiff_output"</filter> </data> <data format="html" name="output_html" label="${tool.name} on ${on_string} (HTML)"/> </outputs> <requirements> <requirement type="binary">R</requirement> </requirements> <!--> <tests> <test> <param name="" value=""/> <output name="" file=""/> </test> </tests> --> <configfiles> <configfile name="script_file"> ## Feature Selection ## get_features <- function(myGenes, f="gene") { if (f == "isoforms") return(isoforms(myGenes)) else if (f == "tss") return(TSS(myGenes)) else if (f == "cds") return(CDS(myGenes)) else return(myGenes) } ## Main Function ## ## Load cummeRbund library library("cummeRbund") ## Initialize cuff object cuff <- readCufflinks(dir = "", #if $backend_database_source.backend_database_selector == "cuffdiff_output": dbFile = "${output_database}", geneFPKM = "${genes_fpkm_tracking}", geneDiff = "${genes_exp}", isoformFPKM = "${isoforms_fpkm_tracking}", isoformDiff = "${isoforms_exp}", TSSFPKM = "${tss_groups_fpkm_tracking}", TSSDiff = "${tss_groups_exp}", CDSFPKM = "${cds_fpkm_tracking}", CDSExpDiff = "${cds_exp_diff}", CDSDiff = "${cds_diff}", promoterFile = "${promoters_diff}", splicingFile = "${splicing_diff}", rebuild = T) #else: dbFile = "${backend_database_source.input_database}", rebuild = F) #end if #for $i, $p in enumerate($plots, start=1): #set $filename = "plot%02d-%s.png" % ($i, $p.plot['type']) png(filename = "${filename}", width = ${p.width}, height = ${p.height}) ## Density plot ## #if $p.plot['type'] == "density": csDensity(genes(cuff)) devname = dev.off() ## Boxplot ## #elif $p.plot['type'] == "boxplot": csBoxplot(genes(cuff)) devname = dev.off() ## Scatter ## #elif $p.plot['type'] == "scatter": #if $p.plot.multiple_genes['multiple_genes_selector']: myGeneIds <- c() #for $g in $p.plot.multiple_genes['genes']: myGeneIds <- c(myGeneIds, "$g['gene_id']") #end for myGenes <- getGenes(cuff, myGeneIds) csScatter(get_features(myGenes, "$p.plot.multiple_genes['features']"), "${p.plot.x}", "${p.plot.y}", smooth=${p.plot.smooth}) #else csScatter(genes(cuff), "${p.plot.x}", "${p.plot.y}", smooth=${p.plot.smooth}) #end if devname = dev.off() ## Volcano ## #elif $p.plot['type'] == "volcano": #if $p.plot.multiple_genes['multiple_genes_selector']: myGeneIds <- c() #for $g in $p.plot.multiple_genes['genes']: myGeneIds <- c(myGeneIds, "$g['gene_id']") #end for myGenes <- getGenes(cuff, myGeneIds) csVolcano(get_features(myGenes, "$p.plot.multiple_genes['features']"), "${p.plot.x}", "${p.plot.y}") #else csVolcano(genes(cuff), "${p.plot.x}", "${p.plot.y}") #end if devname = dev.off() ## Heatmap ## #elif $p.plot['type'] == "heatmap": myGeneIds <- c() #for $g in $p.plot.genes: myGeneIds <- c(myGeneIds, "$g['gene_id']") #end for myGenes <- getGenes(cuff, myGeneIds) csHeatmap(get_features(myGenes, "${p.plot.features}"), clustering="${p.plot.clustering}", labCol="${p.plot.labcol}", labRow="${p.plot.labrow}", border="${p.plot.border}") devname = dev.off() ## Cluster ## #elif $p.plot['type'] == "cluster": myGeneIds <- c() #for $g in $p.plot.genes: myGeneIds <- c(myGeneIds, "$g['gene_id']") #end for myGenes <- getGenes(cuff, myGeneIds) csCluster(get_features(myGenes, "${p.plot.features}"), k=${p.plot.k}, iter.max="${p.plot.iter_max}") devname = dev.off() ## Expression Plot ## #elif $p.plot['type'] == "expressionplot": myGeneId <- "$p.plot.gene_id" myGenes <- getGenes(cuff, myGeneId) expressionPlot(get_features(myGenes, "${p.plot.features}"), drawSummary=${p.plot.draw_summary}, iter.max="${p.plot.show_error_bars}") devname = dev.off() ## Expression Bar Plot ## #elif $p.plot['type'] == "expressionbarplot": myGeneId <- "$p.plot.gene_id" myGenes <- getGenes(cuff, myGeneId) expressionBarplot(get_features(myGenes, "${p.plot.features}"), iter.max="${p.plot.show_error_bars}") devname = dev.off() #end if #end for </configfile> </configfiles> <help> This tool allows for persistent storage, access, exploration, and manipulation of Cufflinks high-throughput sequencing data. In addition, provides numerous plotting functions for commonly used visualizations. </help> </tool>