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modified:
edgeR.xml |
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| diff -r b6de7e3b8239 -r 3aadcea3347b edgeR.xml --- a/edgeR.xml Thu Sep 13 00:06:26 2012 -0400 +++ b/edgeR.xml Thu Sep 13 00:50:59 2012 -0400 |
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| @@ -1,4 +1,5 @@ <tool id="edgeR" name="Empirical analysis of digital gene expression data" version="0.0.1"> + <description> - Estimates differential gene expression for short read sequence count using methods appropriate for count data</description> <requirements> <requirement type="R-module">edgeR</requirement> <requirement type="R-module">limma</requirement> @@ -159,6 +160,7 @@ edgeR_ requires biological replicates. Without replicates you can't account for known important experimental sources of variability that the approach implemented here requires. + **Input** A count matrix containing sequence names as rows and sample specific counts of reads from this sequence as columns. The matrix must have 2 header rows, the first indicating the group assignment and the second uniquely identifiying the samples. It must also contain a unique set of (eg Feature) names in the first column. @@ -208,6 +210,7 @@ .. _edgeR: http://www.bioconductor.org/packages/release/bioc/html/edgeR.html .. _limma: http://www.bioconductor.org/packages/release/bioc/html/limma.html + </help> </tool> |