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 2.10 of Bioconductor; for the stable, up-to-date release version, see DESeq.

Differential gene expression analysis based on the negative binomial distribution

Bioconductor version: 2.10

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 Analysing RNA-Seq data with the "DESeq" package
PDF vst.pdf
PDF Reference Manual
Text NEWS

Details

Version 1.8.3
In Bioconductor since BioC 2.6 (R-2.11) (6 years)
License GPL (>= 3)
Depends Biobase(>= 2.13.11), locfit
Imports genefilter, geneplotter, methods, MASS
LinkingTo
Suggests pasilla(>= 0.2.11), vsn
SystemRequirements
Enhances
Depends On Me easyRNASeq, pasilla

Package Archives

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

Package Source DESeq_1.8.3.tar.gz
Windows Binary DESeq_1.8.3.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)
Package Downloads Report Download Stats

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