Statistical and Computational Methods for High-Throughput Sequencing Data Analysis of Alternative Splicing

rna-seq

The burgeoning field of high-throughput sequencing significantly improves our ability to understand the complexity of transcriptomes. Alternative splicing, as one of the most important driving forces for transcriptome diversity, can now be studied at an unprecedent resolution. Efficient and powerful computational and statistical methods are in urgent need to facilitate the characterization and quantification of alternative splicing events. Here, the authors discuss methods in splice junction read mapping, and methods in exon-centric or isoform-centric quantification of alternative splicing. In addition, we discuss HITS-CLIP and splicing QTL analyses which are novel high-throughput sequencing based approaches in the dissection of splicing regulation.

  • Chen L. (2013) Statistical and Computational Methods for High-Throughput Sequencing Data Analysis of Alternative Splicing. Stat Biosci 5(1), 138-155. [abstract]