PT  - JOURNAL ARTICLE
AU  - Michael I Love
AU  - Wolfgang Huber
AU  - Simon Anders
TI  - Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
AID  - 10.1101/002832
DP  - 2014 Jan 01
TA  - bioRxiv
PG  - 002832
4099  - http://biorxiv.org/content/early/2014/11/17/002832.short
4100  - http://biorxiv.org/content/early/2014/11/17/002832.full
AB  - In comparative high-throughput sequencing assays, a fundamental task is the analysis of count data, such as read counts per gene in RNA-seq, for evidence of systematic changes across experimental conditions. Small replicate numbers, discreteness, large dynamic range and the presence of outliers require a suitable statistical approach. We present DESeq2, a method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates. This enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression. The DESeq2 package is available at http://www.bioconductor.org/packages/release/bioc/html/DESeq2.html.