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

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...

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Detalles Bibliográficos
Autores principales: Liu, Lian, Song, Bowen, Ma, Jiani, Song, Yi, Zhang, Song-Yao, Tang, Yujiao, Wu, Xiangyu, Wei, Zhen, Chen, Kunqi, Su, Jionglong, Rong, Rong, Lu, Zhiliang, de Magalhães, João Pedro, Rigden, Daniel J., Zhang, Lin, Zhang, Shao-Wu, Huang, Yufei, Lei, Xiujuan, Liu, Hui, Meng, Jia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7334300/
https://www.ncbi.nlm.nih.gov/pubmed/32670500
http://dx.doi.org/10.1016/j.csbj.2020.06.010
Descripción
Sumario: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.