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A computational investigation of kinetoplastid trans-splicing

Author:
Gopal, Shuba, Awadalla, Saria, Gaasterland, Terry, Cross, George AM
Source:
Genome biology 2005 v.6 no.11 pp. 1130
ISSN:
1474-760X
Subject:
Leishmania major, chromosomes, genes, messenger RNA, prediction, trans-splicing
Abstract:
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.
Agid:
1195194