A computational investigation of kinetoplastid trans-splicing -: art. no. R95

被引：20

作者：

Gopal, S

Awadalla, S

Gassterland, T

Cross, GAM

机构：

[1] Rockefeller Univ, Lab Computat Genom, New York, NY 10021 USA

[2] Rochester Inst Technol, Dept Biol Sci, Rochester, NY 14623 USA

[3] Rockefeller Univ, Mol Parasitol Lab, New York, NY 10021 USA

来源：

GENOME BIOLOGY | 2005年 / 6卷 / 11期

关键词：

D O I：

10.1186/gb-2005-6-11-r95

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

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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页数：11

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