Liu, Lian, Song, Bowen, Ma, Jiani, Song, Yi, Zhang, Song-Yao, Tang, Yujiao, Wu, Xiangyu, Wei, Zhen, Chen, Kunqi, Su, Jionglong et al (show 10 more authors)
(2020)
Bioinformatics approaches for deciphering the epitranscriptome: Recent progress and emerging topics.
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 18.
pp. 1587-1604.
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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Epitranscriptome, RNA modification, Bioinformatics approaches, Recent progress, Future perspective |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 10 Jul 2020 08:17 |
| Last Modified: | 18 Jan 2023 23:46 |
| DOI: | 10.1016/j.csbj.2020.06.010 |
| Open Access URL: | https://www.sciencedirect.com/science/article/pii/... |
| Related URLs: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3093384 |
Dimensions
Dimensions
