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

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.

journal_name

Comput Struct Biotechnol J

journal_title

Computational and structural biotechnology journal

authors

Liu L,Song B,Ma J,Song Y,Zhang SY,Tang Y,Wu X,Wei Z,Chen K,Su J,Rong R,Lu Z,de Magalhães JP,Rigden DJ,Zhang L,Zhang SW,Huang Y,Lei X,Liu H,Meng J

doi

10.1016/j.csbj.2020.06.010

subject

Has Abstract

pub_date

2020-06-13 00:00:00

pages

1587-1604

issn

2001-0370

pii

S2001-0370(20)30299-3

journal_volume

18

pub_type

杂志文章,评审

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