To evaluate the strenght of the resulting mRNA repression, the miRNA taregt predictors may employ thermodynamic, evolutionary, probabilistic, or sequence-based features. An open source software library, miRmap, for the first time comprehensively covers all four approaches using eleven predictor features, three of which are novel. Overall, target site accessibility appears to be the most predictive feature. Moreover novel feature based on PhyloP, which evaluates the significance of negative selection, is the best performing predictor in the evolutionary category.
Last Software Update: Jan. 9, 2013
Publication Date: May 28, 2013
Citations: 37 [via Pubmed]
Reference Genome Needed:
Installation/User Level: easy (online), advanced (local)
Precomputed Target Results Available For Download:
Performance : Sensitivity: 74%, Specificity: 44%