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 investigation in the role of specific circRNAs in any physiological or pathological condition.

journal_name

BMC Bioinformatics

journal_title

BMC bioinformatics

authors

Aufiero S,Reckman YJ,Tijsen AJ,Pinto YM,Creemers EE

doi

10.1186/s12859-020-3500-3

subject

Has Abstract

pub_date

2020-04-29 00:00:00

pages

164

issue

1

issn

1471-2105

pii

10.1186/s12859-020-3500-3

journal_volume

21

pub_type

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