DESeq2-package {DESeq2} | R Documentation |
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.
Michael Love, Wolfgang Huber, Simon Anders
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