title: DuplexFinder: predicting the miRNA-miRNA* duplex from the animal precursors.
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.
authors.affiliation: School of Computer Science and Technology, Harbin Institute of Technology, P.O. Box 319, Xidazhi Street 92, Harbin 150001, China. guoer713108@gmail.com
authors.forename: Quan
authors.initials: Q
authors.lastname: Zou
authors.forename: Maozu
authors.initials: M
authors.lastname: Guo
authors.forename: Yang
authors.initials: Y
authors.lastname: Liu
authors.forename: Ping
authors.initials: P
authors.lastname: Xuan
mesh_terms: D001483:Base Sequence; D020224:Expressed Sequence Tags; D016678:Genome; D023281:Genomics / Q000379:methods*; D035683:MicroRNAs / Q000737:chemistry* / Q000378:metabolism*; D009690:Nucleic Acid Conformation; D012322:RNA Precursors / Q000737:chemistry* / Q000378:metabolism*; D012984:Software
chemical_list: D035683:MicroRNAs; D012322:RNA Precursors