A scaling normalization method for differential expression analysis of RNA-seq data

The 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 t...

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Bibliographic Details
Published in:	Genome biology 2010-01, Vol.11 (3), p.R25-R25
Main Authors:	Robinson, Mark D, Oshlack, Alicia
Format:	Article
Language:	eng
Subjects:	Base Sequence - genetics Computer Simulation Gene Expression Profiling - methods Gene Library Method Models, Statistical RNA - genetics
Online Access:	Get full text
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Summary:	The 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.
ISSN:	1465-6906 1474-760X 1465-6914