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
Source Publication Title
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.