A scaling normalization method for differential expression analysis of RNA-seq data
- Author(s)
- Robinson, MD; Oshlack, A;
- Details
- Publication Year 2010,Volume 11,Issue #3,Page -
- Journal Title
- GENOME BIOLOGY
- Publication Type
- Journal Article
- 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.
- Publisher
- BIOMED CENTRAL LTD
- Keywords
- HOUSEKEEPING GENES; MICROARRAY DATA; TRANSCRIPTOME; BIOCONDUCTOR; MODEL; BIOLOGY; SAGE; BIAS
- Publisher's Version
- https://doi.org/10.1186/gb-2010-11-3-r25
- Terms of Use/Rights Notice
- Refer to copyright notice on published article.
Creation Date: 2010-01-01 12:00:00