To install this package, start R and enter:

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

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

DEGseq

   

This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see DEGseq.

Identify Differentially Expressed Genes from RNA-seq data

Bioconductor version: 3.4

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")):

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("DEGseq")

 

PDF R Script DEGseq
PDF   Reference Manual
Text   NEWS

Details

biocViews DifferentialExpression, GeneExpression, Preprocessing, RNASeq, Software
Version 1.28.0
In Bioconductor since BioC 2.5 (R-2.10) (7.5 years)
License LGPL (>=2)
Depends R (>= 2.8.0), qvalue, samr, methods
Imports graphics, grDevices, methods, stats, utils
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source DEGseq_1.28.0.tar.gz
Windows Binary DEGseq_1.28.0.zip (32- & 64-bit)
Mac OS X 10.9 (Mavericks) DEGseq_1.28.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/DEGseq/tree/release-3.4
Package Short Url http://bioconductor.org/packages/DEGseq/
Package Downloads Report Download Stats

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