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 (3.23)
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], Anqi Zhu [ctb], Nikolaos Ignatiadis [ctb], Raphael Rossellini [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("DESeq2")):Michael Love, Simon Anders, Wolfgang Huber. DESeq2: Differential gene expression analysis based on the negative binomial distribution. doi:10.18129/B9.bioc.DESeq2, R package version 1.52.0, https://bioconductor.org/packages/DESeq2.
Generated from the package metadata; it may differ from the package's own citation.
Installation
To install this package, start R (version "4.6") 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 | ||
| NEWS | Text |
Details
| biocViews | Bayesian, ChIPSeq, Clustering, DifferentialExpression, GeneExpression, ImmunoOncology, Normalization, PrincipalComponent, RNASeq, Regression, Sequencing, Software, Transcription |
| Version | 1.52.0 |
| In Bioconductor since | BioC 2.12 (R-3.0) (13.5 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 | |
| URL | https://github.com/thelovelab/DESeq2 |
See More
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | DESeq2_1.52.0.tar.gz |
| Windows Binary (x86_64) | DESeq2_1.52.0.zip |
| macOS Binary (big-sur-x86_64) | DESeq2_1.52.0.tgz |
| macOS Binary (sonoma-arm64) | DESeq2_1.52.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/DESeq2 |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/DESeq2 |
| Package Short Url | https://bioconductor.org/packages/DESeq2/ |
| Package Downloads Report | Download Stats |