Unknown

Dataset Information

0

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.

SUBMITTER: Liu L 

PROVIDER: S-EPMC7334300 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

altmetric image

Publications

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

Liu Lian L   Song Bowen B   Ma Jiani J   Song Yi Y   Zhang Song-Yao SY   Tang Yujiao Y   Wu Xiangyu X   Wei Zhen Z   Chen Kunqi K   Su Jionglong J   Rong Rong R   Lu Zhiliang Z   de Magalhães João Pedro JP   Rigden Daniel J DJ   Zhang Lin L   Zhang Shao-Wu SW   Huang Yufei Y   Lei Xiujuan X   Liu Hui H   Meng Jia J  

Computational and structural biotechnology journal 20200613


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 approac  ...[more]

Similar Datasets

| S-EPMC5094531 | biostudies-literature
| S-EPMC7917005 | biostudies-literature
| S-EPMC7296033 | biostudies-literature
| S-EPMC6145951 | biostudies-literature
| S-EPMC3491402 | biostudies-literature
| S-EPMC6301626 | biostudies-literature
| S-EPMC5753293 | biostudies-literature