Journal article

Comprehensive review and assessment of computational methods for predicting RNA post-transcriptional modification sites from RNA sequences

Zhen Chen, Pei Zhao, Fuyi Li, Yanan Wang, A Ian Smith, Geoffrey Webb, Tatsuya Akutsu, Abdelkader Baggag, Halima Bensmail, Jiangning Song

Briefings in Bioinformatics | OXFORD UNIV PRESS | Published : 2020

Abstract

RNA post-transcriptional modifications play a crucial role in a myriad of biological processes and cellular functions. To date, more than 160 RNA modifications have been discovered; therefore, accurate identification of RNA-modification sites is fundamental for a better understanding of RNA-mediated biological functions and mechanisms. However, due to limitations in experimental methods, systematic identification of different types of RNA-modification sites remains a major challenge. Recently, more than 20 computational methods have been developed to identify RNA-modification sites in tandem with high-throughput experimental methods, with most of these capable of predicting only single types..

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University of Melbourne Researchers

Grants

Awarded by National Health and Medical Research Council of Australia (NHMRC)


Awarded by Young Scientists Fund of the National Natural Science Foundation of China


Awarded by Australian Research Council (ARC)


Awarded by Collaborative Research Program of Institute for Chemical Research, Kyoto University


Funding Acknowledgements

This work was supported by grants from the National Health and Medical Research Council of Australia (NHMRC) (1144652 and 1127948), the Young Scientists Fund of the National Natural Science Foundation of China (31701142), the Australian Research Council (ARC) (LP110200333 and DP120104460), a Major Inter-Disciplinary Research (IDR) project awarded by Monash University and the Collaborative Research Program of Institute for Chemical Research, Kyoto University (2019-32 and 2018-28).