Bioconductor version: Release (3.16)
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")
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if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("DESeq2")
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HTML | R Script | Analyzing RNA-seq data with DESeq2 |
Reference Manual | ||
Text | NEWS |
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Source Package | DESeq2_1.38.3.tar.gz |
Windows Binary | DESeq2_1.38.3.zip (64-bit only) |
macOS Binary (x86_64) | DESeq2_1.38.3.tgz |
macOS Binary (arm64) | DESeq2_1.38.3.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/ |
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