11.RNAseq: Topic: Analysis of RNA-seq Data
Description
This page gives an overview of LIMMA functions to analyze RNA-seq data.
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Law, CW, Chen, Y, Shi, W, Smyth, GK (2014).
Voom: precision weights unlock linear model analysis tools for RNA-seq read counts.
Genome Biology 15, R29.
http://genomebiology.com/2014/15/2/R29
Ritchie, ME, Phipson, B, Wu, D, Hu, Y, Law, CW, Shi, W, and Smyth, GK (2015).
limma powers differential expression analyses for RNA-sequencing and microarray studies.
Nucleic Acids Research 43, e47.
http://nar.oxfordjournals.org/content/43/7/e47See Also
See also the edgeR package for normalization and data summaries of RNA-seq data, as well as for alternative differential expression methods based on the negative binomial distribution.
voom accepts DGEList objects and normalization factors from edgeR.
01.Introduction,
02.Classes,
03.ReadingData,
04.Background,
05.Normalization,
06.LinearModels,
07.SingleChannel,
08.Tests,
09.Diagnostics,
10.GeneSetTests,
11.RNAseq