Diana microt web server elucidating microrna functions through target prediction

Posted by / 11-Feb-2016 22:44

Since experimental identification of mi RNA target genes poses difficulties, computational micro RNA target prediction is one of the key means in deciphering the role of micro RNAs in development and disease.DIANA-micro T 3.0 is an algorithm for micro RNA target prediction which is based on several parameters calculated individually for each micro RNA and combines conserved and non-conserved micro RNA recognition elements into a final prediction score, which correlates with protein production fold change.This database is provided "AS-IS" and with out any warranty of any kind.In no event shall Ontario Cancer Institute or the authors be liable for any consequential damage of any kind, or any damages resulting from the use of this database.Micro RNAs are small endogenously expressed non-coding RNA molecules that regulate target gene expression through translation repression or messenger RNA degradation.

This review provides an overview of the major computational approaches to mi RNA target prediction.Due to the potential for one mi RNA to target multiple gene transcripts, mi RNAs are recognized as a major mechanism to regulate gene expression and m RNA translation.Computational prediction of mi RNA targets is a critical initial step in identifying mi RNA:m RNA target interactions for experimental validation.Specifically, for each predicted interaction the program reports a signal to noise ratio and a precision score which can be used as an indication of the false positive rate of the prediction.Recently, several computational target prediction programs were benchmarked based on a set of micro RNA target genes identified by the p SILAC method.

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The first mi RNA molecules and mi RNA targets were identified in 1993 via classical genetic techniques in ( 2 ).

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