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  • Title: Hairpins in a Haystack: recognizing microRNA precursors in comparative genomics data.
    Author: Hertel J, Stadler PF.
    Journal: Bioinformatics; 2006 Jul 15; 22(14):e197-202. PubMed ID: 16873472.
    Abstract:
    UNLABELLED: Recently, genome-wide surveys for non-coding RNAs have provided evidence for tens of thousands of previously undescribed evolutionary conserved RNAs with distinctive secondary structures. The annotation of these putative ncRNAs, however, remains a difficult problem. Here we describe an SVM-based approach that, in conjunction with a non-stringent filter for consensus secondary structures, is capable of efficiently recognizing microRNA precursors in multiple sequence alignments. The software was applied to recent genome-wide RNAz surveys of mammals, urochordates, and nematodes. AVAILABILITY: The program RNAmicro is available as source code and can be downloaded from http://www.bioinf.uni-leipzig/Software/RNAmicro.
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