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A survey of statistical software for analysing RNA-seq data
- 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.
- Subjects :
- lcsh:QH426-470
Sequencing data
lcsh:Medicine
RNA-Seq
Biology
Bioinformatics
RNA-sequencing analysis
normalisation
Bioconductor
Software
Drug Discovery
Software Review
Genetics
statistical software
Molecular Biology
Statistical software
Models, Statistical
business.industry
Gene Expression Profiling
lcsh:R
sequencing data
Statistical model
Data science
lcsh:Genetics
Gene Expression Regulation
Molecular Medicine
Databases, Nucleic Acid
business
Subjects
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