Statistical modeling for differential transcriptome analysis using RNA-Seq technology

Abstract

RNA-Seq is a recently developed technology for transcriptome profiling. Numerous advantages of RNA-Seq suggest that it will be the platform of choice for genome-wide expression studies. RNA-Seq generates large volumes of data which require statistical methods for data processing and accurate inference. This article reviews the RNA-Seq technologies followed by a detailed discussion of current statistical methods for normalization and differential expression analysis.