To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("DESeq2")
In most cases, you don't need to download the package archive at all.
This package is for version 3.3 of Bioconductor; for the stable, up-to-date release version, see DESeq2.
Bioconductor version: 3.3
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: Michael Love (HSPH Boston), Simon Anders, Wolfgang Huber (EMBL Heidelberg)
Maintainer: Michael Love <michaelisaiahlove at gmail.com>
Citation (from within R,
enter citation("DESeq2")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("DESeq2")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("DESeq2")
R Script | Analyzing RNA-seq data with the "DESeq2" package | |
Reference Manual | ||
Text | NEWS |
Follow Installation instructions to use this package in your R session.
Package Source | DESeq2_1.12.4.tar.gz |
Windows Binary | DESeq2_1.12.4.zip (32- & 64-bit) |
Mac OS X 10.9 (Mavericks) | DESeq2_1.12.4.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/DESeq2/tree/release-3.3 |
Package Short Url | http://bioconductor.org/packages/DESeq2/ |
Package Downloads Report | Download Stats |
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