Bioinformatics approaches for deciphering the epitranscriptome: Recent progress and emerging topics

Lian Liu, Bowen Song, Jiani Ma, Yi Song, Song Yao Zhang, Yujiao Tang, Xiangyu Wu, Zhen Wei, Kunqi Chen, Jionglong Su, Rong Rong, Zhiliang Lu, João Pedro de Magalhães, Daniel J. Rigden, Lin Zhang, Shao Wu Zhang, Yufei Huang, Xiujuan Lei*, Hui Liu, Jia Meng

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

36 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)1587-1604
Number of pages18
JournalComputational and Structural Biotechnology Journal
Volume18
DOIs
Publication statusPublished - 2020

Keywords

  • Bioinformatics approaches
  • Epitranscriptome
  • Future perspective
  • RNA modification
  • Recent progress

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