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DESeq2

This is the released version of DESeq2; for the devel version, see DESeq2.

Differential gene expression analysis based on the negative binomial distribution


Bioconductor version: Release (3.22)

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], Kwame Forbes [ctb], Simon Anders [aut, ctb], Wolfgang Huber [aut, ctb], RADIANT EU FP7 [fnd], NIH NHGRI [fnd], CZI [fnd]

Maintainer: Michael Love <michaelisaiahlove at gmail.com>

Citation (from within R, enter citation("DESeq2")):

Installation

To install this package, start R (version "4.5") and enter:


if (!require("BiocManager", quietly = TRUE))
 install.packages("BiocManager")
BiocManager::install("DESeq2")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("DESeq2")
Analyzing RNA-seq data with DESeq2 HTML R Script
Reference Manual PDF
NEWS Text

Details

Version 1.50.2
In Bioconductor since BioC 2.12 (R-3.0) (12.5 years)
License LGPL (>= 3)
Depends S4Vectors(>= 0.23.18), IRanges, GenomicRanges, SummarizedExperiment(>= 1.1.6)
Imports BiocGenerics(>= 0.7.5), Biobase, BiocParallel, matrixStats, methods, stats4, locfit, ggplot2 (>= 3.4.0), Rcpp (>= 0.11.0), MatrixGenerics
System Requirements
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package DESeq2_1.50.2.tar.gz
Windows Binary (x86_64) DESeq2_1.50.2.zip
macOS Binary (x86_64) DESeq2_1.50.2.tgz
macOS Binary (arm64) DESeq2_1.50.2.tgz
Source Repository git clone https://git.bioconductor.org/packages/DESeq2
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/DESeq2
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Old Source Packages for BioC 3.22 Source Archive

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