@article { WOS:000285831700032,
	title = {RepTar: a database of predicted cellular targets of host and viral miRNAs},
	journal = {NUCLEIC ACIDS RESEARCH},
	volume = {39},
	number = {1},
	year = {2011},
	month = {JAN},
	pages = {D188-D194},
	publisher = {OXFORD UNIV PRESS},
	type = {Article},
	address = {GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND},
	abstract = {Computational identification of putative microRNA (miRNA) targets is an important step towards elucidating miRNA functions. Several miRNA target-prediction algorithms have been developed followed by publicly available databases of these predictions. Here we present a new database offering miRNA target predictions of several binding types, identified by our recently developed modular algorithm RepTar. RepTar is based on identification of repetitive elements in 3{\textquoteright}-UTRs and is independent of both evolutionary conservation and conventional binding patterns (i.e. Watson-Crick pairing of {\textquoteleft}seed{\textquoteright} regions). The modularity of RepTar enables the prediction of targets with conventional seed sites as well as rarer targets with non-conventional sites, such as sites with seed wobbles (G-U pairing in the seed region), 3{\textquoteright}-compensatory sites and the newly discovered centered sites. Furthermore, RepTar{\textquoteright}s independence of conservation enables the prediction of cellular targets of the less evolutionarily conserved viral miRNAs. Thus, the RepTar database contains genome-wide predictions of human and mouse miRNAs as well as predictions of cellular targets of human and mouse viral miRNAs. These predictions are presented in a user-friendly database, which allows browsing through the putative sites as well as conducting simple and advanced queries including data intersections of various types. The RepTar database is available at http://reptar.ekmd.huji.ac.il.},
	issn = {0305-1048},
	doi = {10.1093/nar/gkq1233},
	url = {https://doi.org/10.1093/nar/gkq1233},
	author = {Elefant, Naama and Berger, Amnon and Shein, Harel and Hofree, Matan and Margalit, Hanah and Altuvia, Yael}
}
