CircRNAprofiler: an R-based computational framework for the downstream analysis of circular RNAs.

ABSTRACT: BACKGROUND:Circular RNAs (circRNAs) are a newly appreciated class of non-coding RNA molecules. Numerous tools have been developed for the detection of circRNAs, however computational tools to perform downstream functional analysis of circRNAs are scarce. RESULTS:We present circRNAprofiler, an R-based computational framework that runs after circRNAs have been identified. It allows to combine circRNAs detected by multiple publicly available annotation-based circRNA detection tools and to analyze their expression, genomic context, evolutionary conservation, biogenesis and putative functions. CONCLUSIONS:Overall, the circRNA analysis workflow implemented by circRNAprofiler is highly automated and customizable, and the results of the analyses can be used as starting point for further investigat

SUBMITTER: Aufiero S 

PROVIDER: S-EPMC7191743 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature