A computational investigation of kinetoplastid 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.

journal_name

Genome Biol

journal_title

Genome biology

authors

Gopal S,Awadalla S,Gaasterland T,Cross GA

doi

10.1186/gb-2005-6-11-r95

keywords:

subject

Has Abstract

pub_date

2005-01-01 00:00:00

pages

R95

issue

11

eissn

1474-7596

issn

1474-760X

pii

gb-2005-6-11-r95

journal_volume

6

pub_type

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