Crinet: A computational tool to infer genome-wide competing endogenous RNA (ceRNA) interactions.

ABSTRACT: To understand driving biological factors for complex diseases like cancer, regulatory circuity of genes needs to be discovered. Recently, a new gene regulation mechanism called competing endogenous RNA (ceRNA) interactions has been discovered. Certain genes targeted by common microRNAs (miRNAs) "compete" for these miRNAs, thereby regulate each other by making others free from miRNA regulation. Several computational tools have been published to infer ceRNA networks. In most existing tools, however, expression abundance sufficiency, collective regulation, and groupwise effect of ceRNAs are not considered. In this study, we developed a computational tool named Crinet to infer genome-wide ceRNA networks addressing critical drawbacks. Crinet considers all mRNAs, lncRNAs, and pseudogenes as pote

SUBMITTER: Kesimoglu ZN 

PROVIDER: S-EPMC8118266 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature