A new algorithm for predicting competing endogenous rnas

Competing endogenous RNAs, or ceRNAs, are sets of RNAs including mRNAs that can regulate each other by competing for microRNAs binding. ceRNAs form another level of regulation across the transcriptome and thus expand the function of microRNAs. CeRNAs have been shown to play important roles in disease like cancer [1]. Despite the importance, there does not yet exist a systematic tool for identifying ceRNAs. In this work, we propose and develop, TraceRNA, a computational tool and an online application to assist the exploration of ceRNAs.