Integrative analysis of many RNA-seq datasets to study alternative splicing

Methods. 2014 Jun 1;67(3):313-24. doi: 10.1016/j.ymeth.2014.02.024. Epub 2014 Feb 28.

Abstract

Alternative splicing is an important gene regulatory mechanism that dramatically increases the complexity of the proteome. However, how alternative splicing is regulated and how transcription and splicing are coordinated are still poorly understood, and functions of transcript isoforms have been studied only in a few limited cases. Nowadays, RNA-seq technology provides an exceptional opportunity to study alternative splicing on genome-wide scales and in an unbiased manner. With the rapid accumulation of data in public repositories, new challenges arise from the urgent need to effectively integrate many different RNA-seq datasets for study alterative splicing. This paper discusses a set of advanced computational methods that can integrate and analyze many RNA-seq datasets to systematically identify splicing modules, unravel the coupling of transcription and splicing, and predict the functions of splicing isoforms on a genome-wide scale.

Keywords: Alternative splicing; Integrative analysis; RNA-seq data.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Alternative Splicing*
  • Computational Biology
  • Data Interpretation, Statistical
  • Datasets as Topic
  • Sequence Analysis, RNA / methods*