DESeq2: Differential gene expression analysis based on the negative binomial distribution
Version 1.20.0

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.

Package details

AuthorMichael Love, Simon Anders, Wolfgang Huber
Bioconductor views Bayesian ChIPSeq Clustering DifferentialExpression GeneExpression Microbiome Normalization PrincipalComponent RNASeq Regression Sequencing Transcription
MaintainerMichael Love <[email protected]>
LicenseLGPL (>= 3)
Version1.20.0
URL https://github.com/mikelove/DESeq2
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("DESeq2")

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DESeq2 documentation built on May 2, 2018, 2:52 a.m.