Bioconductor version: Release (3.6)
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, Simon Anders, Wolfgang Huber
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")
HTML | R Script | Analyzing RNA-seq data with DESeq2 |
Reference Manual | ||
Text | NEWS |
Follow Installation instructions to use this package in your R session.
Source Package | DESeq2_1.18.1.tar.gz |
Windows Binary | DESeq2_1.18.1.zip (32- & 64-bit) |
Mac OS X 10.11 (El Capitan) | DESeq2_1.18.1.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/DESeq2 |
Package Short Url | http://bioconductor.org/packages/DESeq2/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.6 | Source Archive |
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