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Hum Genomics. 2010 Oct;5(1):56-60.

A survey of statistical software for analysing RNA-seq data.

Author information

1
Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO 80045, USA. Dexiang.Gao@UCDenver.edu

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.

PMID:
21106489
PMCID:
PMC3500157
[Indexed for MEDLINE]
Free PMC Article

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