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dc.contributor.authorGopal, Shubaen_US
dc.contributor.authorAwadalla, Sariaen_US
dc.contributor.authorGaasterland, Terryen_US
dc.contributor.authorCross, Georgeen_US
dc.date.accessioned2006-08-18T21:25:20Zen_US
dc.date.available2006-08-18T21:25:20Zen_US
dc.date.issued2005-10-17en_US
dc.identifier.citationGenome Biology 6N11 (2005) R95.1-R95.11en_US
dc.identifier.issn1465-6914en_US
dc.identifier.urihttp://hdl.handle.net/1850/2367en_US
dc.description.abstractTrans-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.en_US
dc.description.sponsorshipA portion of this work was supported by a grant to T.G. from the Burroughs Wellcome Fund New Investigator in Molecular Parasitology award (no. 1001530).en_US
dc.format.extent37430 bytesen_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoen_USen_US
dc.publisherBioMed Central: Genome Biologyen_US
dc.titleA computational investigation of kinetoplastid trans-splicingen_US
dc.typeArticleen_US
dc.subject.keywordLeishmania majoren_US
dc.subject.keywordRNAen_US
dc.subject.keywordTrans-splicingen_US
dc.identifier.urlhttp://dx.doi.org/10.1186/gb-2005-6-11-r95


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