Tuesday, August 27, 2013

Fwd: Count-based differential expression analysis of RNA sequencing data using R and Bioconductor

Another very useful protocol from mother Nature!
Fwd: please follow footer link

Count-based differential expression analysis of RNA sequencing data using R and Bioconductor: "

Nature Protocols 8, 1765 (2013).
doi:10.1038/nprot.2013.099

Authors: Simon Anders, Davis J McCarthy, Yunshun Chen, Michal Okoniewski, Gordon K Smyth, Wolfgang Huber & Mark D Robinson

RNA sequencing (RNA-seq) has been rapidly adopted for the profiling of transcriptomes in many areas of biology, including studies into gene regulation, development and disease. Of particular interest is the discovery of differentially expressed genes across different conditions (e.g., tissues, perturbations) while optionally adjusting for

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(Via Nature Protocols.)