A computational investigation of kinetoplastid trans-splicing

被引:0
作者
Shuba Gopal
Saria Awadalla
Terry Gaasterland
George AM Cross
机构
[1] Rockefeller University,Laboratory of Computational Genomics
[2] Rochester Institute of Technology,Department of Biological Sciences
[3] Rockefeller University,Laboratory of Molecular Parasitology
来源
Genome Biology | / 6卷
关键词
Splice Site; Linear Discriminant Analysis; Additional Data File; Splice Junction; Splice Acceptor Site;
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摘要
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.
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