Differential gene expression analysis based on the negative binomial distribution

Bioconductor version: Release (2.11)

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

Author: Simon Anders, EMBL Heidelberg <sanders at>

Maintainer: Simon Anders <sanders at>

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PDF R Script Analysing RNA-Seq data with the "DESeq" package
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biocViews ChIPseq, DifferentialExpression, HighThroughputSequencing, RNAseq, SAGE, Software
Version 1.10.1
In Bioconductor since BioC 2.6 (R-2.11)
License GPL (>= 3)
Depends Biobase(>= 2.13.11), locfit, lattice
Imports genefilter, geneplotter, methods, MASS, RColorBrewer
Suggests pasilla(>= 0.2.10), vsn, gplots
System Requirements
Depends On Me DBChIP, easyRNASeq, gCMAP, pasilla
Imports Me ArrayExpressHTS, DiffBind, EDASeq, rnaSeqMap
Suggests Me DiffBind, EDASeq, GenomicRanges, oneChannelGUI

Package Downloads

Package Source DESeq_1.10.1.tar.gz
Windows Binary (32- & 64-bit)
MacOS 10.5 (Leopard) DESeq_1.10.1.tgz
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