DESeq2
This is the development version of DESeq2; for the stable release version, see DESeq2.
Differential gene expression analysis based on the negative binomial distribution
Bioconductor version: Development (3.24)
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")):
Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.
Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")
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 | 1.53.2 |
| 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_1.53.2.tar.gz |
| Windows Binary (x86_64) | DESeq2_1.53.2.zip |
| macOS Binary (big-sur-x86_64) | DESeq2_1.53.2.tgz |
| macOS Binary (sonoma-arm64) | DESeq2_1.53.2.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/DESeq2 |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/DESeq2 |
| Bioc Package Browser | https://code.bioconductor.org/browse/DESeq2/ |
| Package Short Url | https://bioconductor.org/packages/DESeq2/ |
| Package Downloads Report | Download Stats |