DESeq2-package {DESeq2} | R Documentation

## DESeq2 package for differential analysis of count data

### Description

The main functions for differential analysis are `DESeq` and `results`. See the examples at `DESeq` for basic analysis steps. Two transformations offered for count data are the variance stabilizing transformation, `vst`, and the "regularized logarithm", `rlog`. For more detailed information on usage, see the package vignette, by typing `vignette("DESeq2")`, or the workflow linked to on the first page of the vignette. All support questions should be posted to the Bioconductor support site: http://support.bioconductor.org.

### Author(s)

Michael Love, Wolfgang Huber, Simon Anders

### References

DESeq2 reference:

Love, M.I., Huber, W., Anders, S. (2014) Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biology, 15:550. http://dx.doi.org/10.1186/s13059-014-0550-8

DESeq reference:

Simon Anders, Wolfgang Huber (2010) Differential expression analysis for sequence count data. Genome Biology, 11:106. http://dx.doi.org/10.1186/gb-2010-11-10-r106

[Package DESeq2 version 1.26.0 Index]