Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

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ID: 111230
2014
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Abstract
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 .
Reference Key
love2014genomemoderated Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Michael I Love;Wolfgang Huber;Simon Anders;Michael I Love;Wolfgang Huber;Simon Anders;
Journal Genome biology
Year 2014
DOI
doi:10.1186/s13059-014-0550-8
URL
https://doi.org/10.1186%2Fs13059-014-0550-8
Keywords
bioinformatics evolutionary biology animal genetics and genomics microbial genetics and genomics plant genetics and genomics human genetics

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