To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("DESeq")

In most cases, you don't need to download the package archive at all.

DESeq

   

This package is for version 2.8 of Bioconductor; for the stable, up-to-date release version, see DESeq.

Digital gene expresion analysis based on the negative binomial distribution

Bioconductor version: 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 <sanders at fs.tum.de>

Maintainer: Simon Anders <sanders at fs.tum.de>

Citation (from within R, enter citation("DESeq")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("DESeq")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("DESeq")

 

PDF DESeq.pdf
PDF   Reference Manual

Details

biocViews ChIPseq, DifferentialExpression, HighThroughputSequencing, RNAseq, SAGE, Software
Version 1.4.1
In Bioconductor since BioC 2.6 (R-2.11) (6 years)
License GPL (>= 3)
Depends Biobase, locfit
Imports genefilter, geneplotter, methods
LinkingTo
Suggests
SystemRequirements
Enhances
URL http://www-huber.embl.de/users/anders/DESeq/
Depends On Me
Imports Me ArrayExpressHTS, rnaSeqMap
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source DESeq_1.4.1.tar.gz
Windows Binary DESeq_1.4.1.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)
Mac OS X 10.9 (Mavericks)
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/DESeq/tree/release-2.8
Package Short Url http://bioconductor.org/packages/DESeq/
Package Downloads Report Download Stats

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