dc.contributor.author | Gopal, Shuba | en_US |
dc.contributor.author | Awadalla, Saria | en_US |
dc.contributor.author | Gaasterland, Terry | en_US |
dc.contributor.author | Cross, George | en_US |
dc.date.accessioned | 2006-08-18T21:25:20Z | en_US |
dc.date.available | 2006-08-18T21:25:20Z | en_US |
dc.date.issued | 2005-10-17 | en_US |
dc.identifier.citation | Genome Biology 6N11 (2005) R95.1-R95.11 | en_US |
dc.identifier.issn | 1465-6914 | en_US |
dc.identifier.uri | http://hdl.handle.net/1850/2367 | en_US |
dc.description.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. | en_US |
dc.description.sponsorship | A 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.extent | 37430 bytes | en_US |
dc.format.mimetype | application/pdf | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | BioMed Central: Genome Biology | en_US |
dc.title | A computational investigation of kinetoplastid trans-splicing | en_US |
dc.type | Article | en_US |
dc.subject.keyword | Leishmania major | en_US |
dc.subject.keyword | RNA | en_US |
dc.subject.keyword | Trans-splicing | en_US |
dc.identifier.url | http://dx.doi.org/10.1186/gb-2005-6-11-r95 | |