{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,7]],"date-time":"2026-02-07T03:42:40Z","timestamp":1770435760111,"version":"3.49.0"},"reference-count":19,"publisher":"Oxford University Press (OUP)","issue":"15","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010,8,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Summary: The miRror application provides insights on microRNA (miRNA) regulation. It is based on the notion of a combinatorial regulation by an ensemble of miRNAs or genes. miRror integrates predictions from a dozen of miRNA resources that are based on complementary algorithms into a unified statistical framework. For miRNAs set as input, the online tool provides a ranked list of targets, based on set of resources selected by the user, according to their significance of being coordinately regulated. Symmetrically, a set of genes can be used as input to suggest a set of miRNAs. The user can restrict the analysis for the preferred tissue or cell line. miRror is suitable for analyzing results from miRNAs profiling, proteomics and gene expression arrays.<\/jats:p>\n               <jats:p>Availability: \u00a0http:\/\/www.proto.cs.huji.ac.il\/mirror<\/jats:p>\n               <jats:p>Contact: \u00a0michall@cc.huji.ac.il<\/jats:p>","DOI":"10.1093\/bioinformatics\/btq298","type":"journal-article","created":{"date-parts":[[2010,6,8]],"date-time":"2010-06-08T01:20:28Z","timestamp":1275960028000},"page":"1920-1921","source":"Crossref","is-referenced-by-count":50,"title":["MiRror: a combinatorial analysis web tool for ensembles of microRNAs and their targets"],"prefix":"10.1093","volume":"26","author":[{"given":"Yitzhak","family":"Friedman","sequence":"first","affiliation":[{"name":"1 Department of Biological Chemistry, Sudarsky Center for Computational Biology and 2School of Computer Science and Engineering, Hebrew University of Jerusalem, 91904, Israel"}]},{"given":"Guy","family":"Naamati","sequence":"additional","affiliation":[{"name":"1 Department of Biological Chemistry, Sudarsky Center for Computational Biology and 2School of Computer Science and Engineering, Hebrew University of Jerusalem, 91904, Israel"}]},{"given":"Michal","family":"Linial","sequence":"additional","affiliation":[{"name":"1 Department of Biological Chemistry, Sudarsky Center for Computational Biology and 2School of Computer Science and Engineering, Hebrew University of Jerusalem, 91904, Israel"}]}],"member":"286","published-online":{"date-parts":[[2010,6,6]]},"reference":[{"key":"2023012508001886700_B1","doi-asserted-by":"crossref","first-page":"D149","DOI":"10.1093\/nar\/gkm995","article-title":"The microRNA.org resource: targets and expression","volume":"36","author":"Betel","year":"2008","journal-title":"Nucleic Acids Res."},{"key":"2023012508001886700_B2","doi-asserted-by":"crossref","first-page":"715","DOI":"10.1038\/ng2049","article-title":"Using FlyAtlas to identify better Drosophila melanogaster models of human disease","volume":"39","author":"Chintapalli","year":"2007","journal-title":"Nat. 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