DESeq2
Differential gene expression analysis based on the negative binomial distribution

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DESeq2: Differential gene expression analysis based on the negative binomial distribution

DESeq2: Differential gene expression analysis based on the negative binomial distribution

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.

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Package overview Analyzing RNA-seq data with DESeq2

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Vignettes Man pages API and functions Files

Package details
AuthorMichael Love [aut, cre], Constantin Ahlmann-Eltze [ctb], Kwame Forbes [ctb], Simon Anders [aut, ctb], Wolfgang Huber [aut, ctb]
Bioconductor views Bayesian ChIPSeq Clustering DifferentialExpression GeneExpression ImmunoOncology Normalization PrincipalComponent RNASeq Regression Sequencing Transcription
MaintainerMichael Love <michaelisaiahlove@gmail.com>
LicenseLGPL (>= 3)
Version1.30.1
URL https://github.com/mikelove/DESeq2 
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R: 
if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("DESeq2")

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DESeq2 documentation built on Feb. 22, 2021, 10 a.m.

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