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A survey of statistical software for analysing RNA-seq data.
Hum Genomics. 2010 Oct 1;5(1):56-60
Authors: Gao D, Kim J, Kim H, Phang TL, Selby H, Tan AC, Tong T
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 [PubMed - in process]
More...
A survey of statistical software for analysing RNA-seq data.
Hum Genomics. 2010 Oct 1;5(1):56-60
Authors: Gao D, Kim J, Kim H, Phang TL, Selby H, Tan AC, Tong T
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 [PubMed - in process]
More...
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