DuplexFinder: Predicting the miRNA miRNA* duplex from the animal precursors

Authors:
Quan Zou;Maozu Guo;Yang Liu;Ping Xuan
Affiliations:
School of Computer Science and Technology, Harbin Institute of Technology, P.O. Box 319, Xidazhi Street 92, Harbin 150001, China.;School of Computer Science and Technology, Harbin Institute of Technology, P.O. Box 319, Xidazhi Street 92, Harbin 150001, China.;School of Computer Science and Technology, Harbin Institute of Technology, P.O. Box 319, Xidazhi Street 92, Harbin 150001, China.;School of Computer Science and Technology, Harbin Institute of Technology, P.O. Box 319, Xidazhi Street 92, Harbin 150001, China
Venue:
International Journal of Bioinformatics Research and Applications
Year:
2010

Citing 3
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Abstract

It is an important work to search unknown microRNA gene from genome or EST sequences. There are several ab initio methods to classify microRNA precursors from random hairpins. However, the exact position of the mature part in the precursor remains unknown only from these ab initio classification methods. In this paper, we propose four significant position distribution features, and then give a computational method to predict the miRNA miRNA* duplex from the animal precursors. It is helpful for classifying miRNA precursor and detecting unknown miRNA genes.