ToppMiR: ranking microRNAs and their mRNA targets based on biological functions and context.

ABSTRACT: Identifying functionally significant microRNAs (miRs) and their correspondingly most important messenger RNA targets (mRNAs) in specific biological contexts is a critical task to improve our understanding of molecular mechanisms underlying organismal development, physiology and disease. However, current miR-mRNA target prediction platforms rank miR targets based on estimated strength of physical interactions and lack the ability to rank interactants as a function of their potential to impact a given biological system. To address this, we have developed ToppMiR (http://toppmir.cchmc.org), a web-based analytical workbench that allows miRs and mRNAs to be co-analyzed via biologically centered approaches in which gene function associated annotations are used to train a machine learning-based a

SUBMITTER: Wu C 

PROVIDER: S-EPMC4086116 | biostudies-literature | 2014 Jul

REPOSITORIES: biostudies-literature