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 ≤100 kb, and 74% connected two exons of the same RefSeq gene. Our method also reports genomic rearrangements such as insertions and deletions. © 2010 Ameur et al.; licensee BioMed Central Ltd.
CITATION STYLE
Ameur, A., Wetterbom, A., Feuk, L., & Gyllensten, U. (2010). Global and unbiased detection of splice junctions from RNA-seq data. Genome Biology, 11(3). https://doi.org/10.1186/gb-2010-11-3-r34
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