Differential expression analysis for sequence count data.
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ABSTRACT:
SUBMITTER: Anders S
PROVIDER: S-EPMC3218662 | biostudies-literature | 2010
REPOSITORIES: biostudies-literature
Publications
Differential expression analysis for sequence count data.
Anders Simon S Huber Wolfgang W
Genome biology 20101027 10
High-throughput sequencing assays such as RNA-Seq, ChIP-Seq or barcode counting provide quantitative readouts in the form of count data. To infer differential signal in such data correctly and with good statistical power, estimation of data variability throughout the dynamic range and a suitable error model are required. We propose a method based on the negative binomial distribution, with variance and mean linked by local regression and present an implementation, DESeq, as an R/Bioconductor pac ...[more]
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