To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("DEGseq")

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

DEGseq

Identify Differentially Expressed Genes from RNA-seq data

Bioconductor version: Release (3.1)

DEGseq is an R package to identify differentially expressed genes from RNA-Seq data.

Author: Likun Wang <wanglk at hsc.pku.edu.cn> and Xi Wang <wang-xi05 at mails.tsinghua.edu.cn>.

Maintainer: Likun Wang <wanglk at hsc.pku.edu.cn>

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

To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("DEGseq")

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

browseVignettes("DEGseq")

biocViews	DifferentialExpression, GeneExpression, Preprocessing, RNASeq, Software
Version	1.22.0
In Bioconductor since	BioC 2.5 (R-2.10) (6 years)
License	LGPL (>=2)
Depends	R (>= 2.8.0), qvalue, samr, methods
Imports	graphics, grDevices, methods, stats, utils
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Build Report

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

Package Source	DEGseq_1.22.0.tar.gz
Windows Binary	DEGseq_1.22.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	DEGseq_1.22.0.tgz
Mac OS X 10.9 (Mavericks)	DEGseq_1.22.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/DEGseq/tree/release-3.1
Package Short Url	http://bioconductor.org/packages/DEGseq/
Package Downloads Report	Download Stats

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