Department of Mathematics
A survey of statistical software for analysing RNA-seq data
© 2010 Henry Stewart Publications. High-throughput RNA sequencing is rapidly emerging as a favourite method for gene expression studies. We review three software packages -- edgeR, DEGseq and baySeq -- from Bioconductor http://bioconductor.org for analysing RNA-sequencing data. We focus on three aspects: normalisation, statistical models and the testing employed on these methods. We also discuss the advantages and limitations of these software packages.
normalisation, RNA-sequencing analysis, sequencing data, statistical software
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Link to Publisher's Edition
Gao, Dexiang, Jihye Kim, Hyunmin Kim, Tzu L. Phang, Heather Selby, Aik Choon Tan, and Tiejun Tong. "A survey of statistical software for analysing RNA-seq data." Human Genomics 5 (2010): 56-60.