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

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

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Title: Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Author: Love, Michael I; Huber, Wolfgang; Anders, Simon

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Citation: Love, Michael I, Wolfgang Huber, and Simon Anders. 2014. “Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2.” Genome Biology 15 (12): 550. doi:10.1186/s13059-014-0550-8. http://dx.doi.org/10.1186/s13059-014-0550-8.
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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. Electronic supplementary material The online version of this article (doi:10.1186/s13059-014-0550-8) contains supplementary material, which is available to authorized users.
Published Version: doi:10.1186/s13059-014-0550-8
Other Sources: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4302049/pdf/
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:14065371
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