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A survey of statistical software for analysing RNA-seq data

Authors :
Heather M. Selby
Jihye Kim
Hyunmin Kim
Dexiang Gao
Tzu L. Phang
Aik Choon Tan
Tiejun Tong
Source :
Human Genomics, Human Genomics, Vol 5, Iss 1, Pp 56-60 (2010)
Publication Year :
2010
Publisher :
Springer Science and Business Media LLC, 2010.

Abstract

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.

Details

ISSN :
14797364
Volume :
5
Database :
OpenAIRE
Journal :
Human Genomics
Accession number :
edsair.doi.dedup.....bd6f73c6bbc13c57d1cf596e42934514
Full Text :
https://doi.org/10.1186/1479-7364-5-1-56