Journal article
A scaling normalization method for differential expression analysis of RNA-seq data
MD Robinson, A Oshlack
Genome Biology | BIOMED CENTRAL LTD | Published : 2010
Open access
Abstract
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. © 2010 Robinson and Oshlack; licensee BioMed Central Ltd.
Grants
Awarded by National Health and Medical Research Council
Funding Acknowledgements
We wish to thank Terry Speed, Gordon Smyth and Matthew Wakefield for helpful discussion and critical reading of the manuscript. This work is partly supported by the National Health and Medical Research Council (481347-MDR, 490037-AO)