Document Type

Journal Article

Department/Unit

Department of Mathematics

Title

A survey of statistical software for analysing RNA-seq data

Language

English

Abstract

© 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.

Keywords

normalisation, RNA-sequencing analysis, sequencing data, statistical software

Publication Date

2010

Source Publication Title

Human Genomics

Volume

5

Start Page

56

End Page

60

Publisher

BioMed Central

DOI

10.1186/1479-7364-5-1-56

Link to Publisher's Edition

http://dx.doi.org/10.1186/1479-7364-5-1-56

ISSN (print)

14739542

ISSN (electronic)

14797364

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