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1: Genome Biol. 2005;6(11):R95. Epub 2005 Oct 17.Click here to read Click here to read Links

A computational investigation of kinetoplastid trans-splicing.

Gopal S, Awadalla S, Gaasterland T, Cross GA.

Laboratory of Computational Genomics, Rockefeller University, 1230 York Avenue, New York, NY 10021, USA. sxgsbi@rit.edu

Trans-splicing is an unusual process in which two separate RNA strands are spliced together to yield a mature mRNA. We present a novel computational approach which has an overall accuracy of 82% and can predict 92% of known trans-splicing sites. We have applied our method to chromosomes 1 and 3 of Leishmania major, with high-confidence predictions for 85% and 88% of annotated genes respectively. We suggest some extensions of our method to other systems.

PMID: 16277750 [PubMed - indexed for MEDLINE]

PMCID: PMC1297651