[NAME]	DESeq2
[SCRIPT-NAME]	scriptDESeq2.R
[MAX-2-CONDITIONS]	true
[NEEDS-REPLICATES]	true
[RESULT]	3-MAPlot.png
[RESULT]	2-histogram.png
[RESULT]	5-plots.pdf
[MANDATORY-RESULT]	1-res.tsv
[RESULT]	4-volcanoPlot.png
[REQUIRED-INPUT-FILE]	condition-input.tsv
[REQUIRED-INPUT-FILE]	rna-seq-input.tsv
[REQUIRED-PARAMETER]	fdr	Float
[REQUIRED-PARAMETER]	foldChange	Float
[REQUIRED-PARAMETER]	pValue	Float
[REQUIRED-PARAMETER]	tops	Integer
[PACKAGE]	DESeq2	1.16.1
[INFO]	DESeq2: Differential gene expression analysis based on the negative binomial distribution.
[INFO]	Estimate variance-mean dependence in count data from high-throughput sequencing assays and test for differential expression based on a model using the negative binomial distribution.
[INFO]	The standard differential expression analysis steps are wrapped into a single function, called DESeq which is similar to the DESeq package.
[INFO]	Author: Michael Love, Simon Anders, Wolfgang Huber.
[INFO]	Maintainer: Michael Love <michaelisaiahlove at gmail.com>.
