Global and unbiased detection of splice junctions from RNA-seq data

Genome Biol. 2010;11(3):R34. doi: 10.1186/gb-2010-11-3-r34. Epub 2010 Mar 17.

Abstract

We have developed a new strategy for de novo prediction of splice junctions in short-read RNA-seq data, suitable for detection of novel splicing events and chimeric transcripts. When tested on mouse RNA-seq data, >31,000 splice events were predicted, of which 88% bridged between two regions separated by <or=100 kb, and 74% connected two exons of the same RefSeq gene. Our method also reports genomic rearrangements such as insertions and deletions.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Base Sequence / genetics*
  • Gene Rearrangement / genetics*
  • Mice
  • RNA Splice Sites / genetics*
  • RNA Splicing / genetics*
  • Sequence Analysis, RNA / methods*
  • Software*

Substances

  • RNA Splice Sites