Computational prediction of the localization of microRNAs within their pre-miRNA.
Ontology highlight
ABSTRACT: MicroRNAs (miRNAs) are short RNA species derived from hairpin-forming miRNA precursors (pre-miRNA) and acting as key posttranscriptional regulators. Most computational tools labeled as miRNA predictors are in fact pre-miRNA predictors and provide no information about the putative miRNA location within the pre-miRNA. Sequence and structural features that determine the location of the miRNA, and the extent to which these properties vary from species to species, are poorly understood. We have developed miRdup, a computational predictor for the identification of the most likely miRNA location within a given pre-miRNA or the validation of a candidate miRNA. MiRdup is based on a random forest classifier trained with experimentally validated miRNAs from miRbase, with features that characterize th
SUBMITTER: Leclercq M
PROVIDER: S-EPMC3753617 | biostudies-literature | 2013 Aug
REPOSITORIES: biostudies-literature
ACCESS DATA