Journal
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL
Volume 18, Issue -, Pages 1587-1604Publisher
ELSEVIER
DOI: 10.1016/j.csbj.2020.06.010
Keywords
Epitranscriptome; RNA modification; Bioinformatics approaches; Recent progress; Future perspective
Funding
- National Natural Science Foundation of China [61902230, 61972451, 31671373]
- China Postdoctoral Science Foundation [2018 M640949]
- Fundamental Research Funds for the Central Universities [GK201903083, GK201901010]
- XJTLU Key Program Special Fund [KSF-T-01]
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Post-transcriptional RNA modification occurs on all types of RNA and plays a vital role in regulating every aspect of RNA function. Thanks to the development of high-throughput sequencing technologies, transcriptome-wide profiling of RNA modifications has been made possible. With the accumulation of a large number of high-throughput datasets, bioinformatics approaches have become increasing critical for unraveling the epitranscriptome. We review here the recent progress in bioinformatics approaches for deciphering the epitranscriptomes, including epitranscriptome data analysis techniques, RNA modification databases, disease-association inference, general functional annotation, and studies on RNA modification site prediction. We also discuss the limitations of existing approaches and offer some future perspectives. (C) 2020 The Author(s). Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology.
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