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

 

   

Identify Differentially Expressed Genes from RNA-seq data

Bioconductor version: Release (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
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SystemRequirements
Enhances
URL
Depends On Me
Imports Me
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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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