This package is for version 3.10 of Bioconductor; for the stable, up-to-date release version, see DESeq2.
Bioconductor version: 3.10
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 [aut, cre], Constantin Ahlmann-Eltze [ctb], Simon Anders [aut, ctb], Wolfgang Huber [aut, ctb]
Maintainer: Michael Love <michaelisaiahlove at gmail.com>
Citation (from within R,
enter citation("DESeq2")
):
To install this package, start R (version "3.6") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("DESeq2")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("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_1.26.0.tar.gz |
Windows Binary | DESeq2_1.26.0.zip (32- & 64-bit) |
Mac OS X 10.11 (El Capitan) | DESeq2_1.26.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/DESeq2 |
Source Repository (Developer Access) | git clone [email protected]:packages/DESeq2 |
Package Short Url | https://bioconductor.org/packages/DESeq2/ |
Package Downloads Report | Download Stats |
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