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 2.14 of Bioconductor; for the stable, up-to-date release version, see DESeq2.
Bioconductor version: 2.14
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 | |
| R Script | Beginner's guide to the "DESeq2" package | |
| Reference Manual | ||
| Text | NEWS | 
| biocViews | ChIPSeq, DifferentialExpression, RNASeq, SAGE, Sequencing, Software | 
| Version | 1.4.5 | 
| In Bioconductor since | BioC 2.12 (R-3.0) (3 years) | 
| License | GPL (>= 3) | 
| Depends | GenomicRanges, IRanges, Rcpp (>= 0.10.1), RcppArmadillo (>= 0.3.4.4) | 
| Imports | BiocGenerics(>= 0.7.5), methods, locfit, genefilter, geneplotter, RColorBrewer, lattice | 
| LinkingTo | Rcpp, RcppArmadillo | 
| Suggests | RUnit, gplots, knitr, Biobase, BiocStyle, parathyroidSE, pasilla(>= 0.2.10), DESeq, vsn, GenomicAlignments, GenomicFeatures, Rsamtools, biomaRt | 
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | DEXSeq, MLSeq, TCC | 
| Imports Me | HTSFilter, phyloseq, ReportingTools | 
| Suggests Me | BiocGenerics, compcodeR, DiffBind, gage | 
| Build Report | 
Follow Installation instructions to use this package in your R session.
| Package Source | DESeq2_1.4.5.tar.gz | 
| Windows Binary | DESeq2_1.4.5.zip (32- & 64-bit) | 
| Mac OS X 10.6 (Snow Leopard) | DESeq2_1.4.5.tgz | 
| Mac OS X 10.9 (Mavericks) | DESeq2_1.4.5.tgz | 
| Subversion source | (username/password: readonly) | 
| Git source | https://github.com/Bioconductor-mirror/DESeq2/tree/release-2.14 | 
| Package Short Url | http://bioconductor.org/packages/DESeq2/ | 
| Package Downloads Report | Download Stats | 
 
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