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dc.contributor.authorRobinson, MD
dc.contributor.authorOshlack, A
dc.date.accessioned2020-12-21T02:27:32Z
dc.date.available2020-12-21T02:27:32Z
dc.date.issued2010-01-01
dc.identifierpii: gb-2010-11-3-r25
dc.identifier.citationRobinson, M. D. & Oshlack, A. (2010). A scaling normalization method for differential expression analysis of RNA-seq data. GENOME BIOLOGY, 11 (3), https://doi.org/10.1186/gb-2010-11-3-r25.
dc.identifier.issn1474-760X
dc.identifier.urihttp://hdl.handle.net/11343/256935
dc.description.abstractThe fine detail provided by sequencing-based transcriptome surveys suggests that RNA-seq is likely to become the platform of choice for interrogating steady state RNA. In order to discover biologically important changes in expression, we show that normalization continues to be an essential step in the analysis. We outline a simple and effective method for performing normalization and show dramatically improved results for inferring differential expression in simulated and publicly available data sets.
dc.languageEnglish
dc.publisherBIOMED CENTRAL LTD
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.titleA scaling normalization method for differential expression analysis of RNA-seq data
dc.typeJournal Article
dc.identifier.doi10.1186/gb-2010-11-3-r25
melbourne.affiliation.departmentSchool of Physics
melbourne.source.titleGenome Biology
melbourne.source.volume11
melbourne.source.issue3
dc.rights.licenseCC BY
melbourne.elementsid1234899
melbourne.contributor.authorOshlack, Alicia
dc.identifier.eissn1474-760X
melbourne.accessrightsOpen Access


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