The bioinformatics toolbox for circRNA discovery and analysis. Issue 2 (26th February 2020)

• Record Type: Journal Article
• Authors: Chen, Liang; Wang, Changliang; Sun, Huiyan; Wang, Juexin; Liang, Yanchun; Wang, Yan; Wong, Garry
• Is Part Of: Briefings in bioinformatics. Volume 22:Issue 2(2021)
• Page Start: 1706
• Page End: 1728
• Publication Date: 2020-02-26
• Subjects: circRNA -- bioinformatics tools -- text mining -- next generation sequencing -- non-coding RNA -- disease biomarker; Genetics -- Data processing -- Periodicals; Molecular biology -- Data processing -- Periodicals; Genomes -- Data processing -- Periodicals; 572.80285
• DOI: 10.1093/bib/bbaa001
• Languages: English
• ISSNs: 1467-5463

Abstract

Abstract: Circular RNAs (circRNAs) are a unique class of RNA molecule identified more than 40 years ago which are produced by a covalent linkage via back-splicing of linear RNA. Recent advances in sequencing technologies and bioinformatics tools have led directly to an ever-expanding field of types and biological functions of circRNAs. In parallel with technological developments, practical applications of circRNAs have arisen including their utilization as biomarkers of human disease. Currently, circRNA-associated bioinformatics tools can support projects including circRNA annotation, circRNA identification and network analysis of competing endogenous RNA (ceRNA). In this review, we collected about 100 circRNA-associated bioinformatics tools and summarized their current attributes and capabilities. We also performed network analysis and text mining on circRNA tool publications in order to reveal trends in their ongoing development.