DESeq

Digital gene expresion analysis based on the negative binomial distribution

Bioconductor version: Development (2.8)

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

Maintainer: Simon Anders

To install this package, start R and enter:

source("http:///biocLite.R")
biocLite("DESeq")    

Documentation

PDF

R Script

Analysing RNA-Seq data with the "DESeq" package

Reference Manual

Details

biocViews	HighThroughputSequencing, ChIPseq, RNAseq, SAGE, DifferentialExpression
Depends	Biobase, locfit
Imports	genefilter, geneplotter, methods
Suggests
System Requirements
License	GPL (>= 3)
URL	http://www-huber.embl.de/users/anders/DESeq/
Depends On Me
Imports Me	rnaSeqMap
Suggests Me
Version	1.3.3

Package Downloads

Package Source	DESeq_1.3.3.tar.gz
Windows Binary	DESeq_1.3.3.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary	DESeq_1.3.3.tgz
Package Downloads Report	Download Stats