The bioinformatics toolbox for circRNA discovery and analysis

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  • Liang Chen
    Department of Computer Science, Key Laboratory of Intelligent Manufacturing Technology of Ministry of Education, Shantou University
  • Changliang Wang
    Faculty of Health Sciences, University of Macau
  • Huiyan Sun
    School of Artificial Intelligence, Jilin University
  • Juexin Wang
    Department of Electrical Engineering and Computer Science and Bond Life Science Center, University of Missouri
  • Yanchun Liang
    College of Computer Science and Technology, Jilin University
  • Yan Wang
    College of Computer Science and Technology, Jilin University
  • Garry Wong
    Faculty of Health Sciences, University of Macau

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<jats:title>Abstract</jats:title><jats:p>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.</jats:p>

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