A Scaling Normalization Method for Differential Expression Analysis of RNA-seq Data

Overview

Journal Genome Biol

Specialties Biology
Genetics

Date 2010 Mar 4

PMID 20196867

Citations 3997

Authors

Mark D Robinson

Alicia Oshlack

Affiliations

Soon will be listed here.

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.

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