Mercurial > repos > mingchen0919 > aurora_deseq2
changeset 18:81dd7b8c8118 draft
planemo upload commit c3ae92f8087d0c69a7b9dd447d6060090a784bb1-dirty
author | mingchen0919 |
---|---|
date | Thu, 13 Sep 2018 11:01:36 -0400 |
parents | 508f582a1f1d |
children | af52576472bc |
files | command-line-arguments.csv rmarkdown_report.Rmd rmarkdown_report.xml |
diffstat | 3 files changed, 8 insertions(+), 9 deletions(-) [+] |
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--- a/command-line-arguments.csv Sat Jun 09 22:58:53 2018 -0400 +++ b/command-line-arguments.csv Thu Sep 13 11:01:36 2018 -0400 @@ -7,7 +7,6 @@ D,1,character,treatment_name E,1,character,treated F,1,character,untreated -G,1,character,test_type H,1,character,fit_type I,1,character,alpha J,1,character,significant_genes
--- a/rmarkdown_report.Rmd Sat Jun 09 22:58:53 2018 -0400 +++ b/rmarkdown_report.Rmd Thu Sep 13 11:01:36 2018 -0400 @@ -66,6 +66,11 @@ dds = DESeqDataSetFromMatrix(countData = count_data, colData = coldata, design = formula(opt$X_C)) + +# prefiltering +keep <- rowSums(counts(dds)) >= 10 +dds <- dds[keep,] + dds = DESeq(dds, test = opt$X_G, fitType = opt$X_H) ## Differential expression test results res = results(dds, contrast = c(opt$X_D, opt$X_E, opt$X_F), alpha = opt$X_I)
--- a/rmarkdown_report.xml Sat Jun 09 22:58:53 2018 -0400 +++ b/rmarkdown_report.xml Thu Sep 13 11:01:36 2018 -0400 @@ -1,4 +1,4 @@ -<tool name="aurora_deseq2" id='aurora_deseq2_report' version="2.2.1"> +<tool name="aurora_deseq2" id='aurora_deseq2_report' version="2.2.2"> <description> Differential analysis of count data with the DESeq2 package </description> @@ -6,7 +6,7 @@ <requirement type="package" version="1.15.0.6-0">pandoc</requirement> <requirement type="package" version="1.20.0">r-getopt</requirement> <requirement type="package" version="1.6">r-rmarkdown</requirement> - <requirement type="package" version="1.14.1">bioconductor-deseq2</requirement> + <requirement type="package" version="v1.18.1">bioconductor-deseq2</requirement> <requirement type="package" version="4.5.6">r-plotly</requirement> <requirement type="package" version="2.2.1">r-ggplot2</requirement> <requirement type="package" version="1.0.8">r-pheatmap</requirement> @@ -38,7 +38,6 @@ -D '$treatment_name' -E '$treated' -F '$untreated' - -G '$test_type' -H '$fit_type' -I '$alpha' -J '$significant_genes' @@ -70,10 +69,6 @@ <param type="text" name="untreated" label="Untreated" help="A level from the specified treatment column that will be used as the untreated group in the DESeq2 analysis." optional="False"/> - <param type="select" name="test_type" label="Test type" optional="False"> - <option value="Wald" selected="true">Wald</option> - <option value="LRT" selected="false">Likelihood Ratio Test (LRT)</option> - </param> <param type="select" name="fit_type" label="Fitting of dispersions" help="either "parametric", "local", or "mean" for the type of fitting of dispersions to the mean intensity" optional="False"> @@ -86,7 +81,7 @@ optional="False" value="0.1" min="0" max="1"/> </inputs> <outputs> - <data format="html" name="report" label="${tool.name} on ${on_string}"/> + <data format="html" name="report" label="${tool.name} report on ${on_string}"/> <data name="significant_genes" format="tabular" label="${tool.name} signficant genes on ${on_string} " hidden="false"/> </outputs>