mirWIP: microRNA target prediction based on microRNA-containing ribonucleoprotein-enriched transcripts

• Published in: Nature methods Vol. 5; no. 9; pp. 813 - 819
• Main Authors: Ding, Ye, Ambros, Victor, Hammell, Molly, Long, Dang, Zhang, Liang, Lee, Andrew, Carmack, C Steven, Han, Min
• Format: Journal Article
• Language: English
• Published: New York Nature Publishing Group US 01.09.2008; Nature Publishing Group
• Subjects: Animals; Binding Sites; Bioinformatics; Biological Microscopy; Biological Techniques; Biomedical and Life Sciences; Biomedical Engineering/Biotechnology; Caenorhabditis elegans; Caenorhabditis elegans - genetics; Carrier Proteins - metabolism; Hybridization; Life Sciences; MicroRNAs - genetics; MicroRNAs - metabolism; Predictions; Proteomics; Research methodology; Ribonucleic acid; Ribonucleoproteins - genetics; RNA; RNA, Messenger - genetics; Topology

A new prediction algorithm for microRNA targets, mirWIP, is presented. The algorithm weights target site features based on their enrichment in an experimentally defined immunoprecipitation dataset and identifies verified miRNA-mRNA interactions in Caenorhabditis elegans with improved specificity com...