Liu, L., Song, B., Ma, J., Song, Y., Zhang, S. Y., Tang, Y., Wu, X., Wei, Z., Chen, K., Su, J., Rong, R., Lu, Z., de Magalhães, J. P., Rigden, D. J., Zhang, L., Zhang, S. W., Huang, Y., Lei, X., Liu, H., & Meng, J. (2020). Bioinformatics approaches for deciphering the epitranscriptome: Recent progress and emerging topics. Computational and Structural Biotechnology Journal, 18, 1587-1604. https://doi.org/10.1016/j.csbj.2020.06.010
Liu, Lian ; Song, Bowen ; Ma, Jiani et al. / Bioinformatics approaches for deciphering the epitranscriptome : Recent progress and emerging topics. In: Computational and Structural Biotechnology Journal. 2020 ; Vol. 18. pp. 1587-1604.
@article{8d0f7d26613b4d3d86f4a0735b08f7b6,
title = "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.",
keywords = "Bioinformatics approaches, Epitranscriptome, Future perspective, RNA modification, Recent progress",
author = "Lian Liu and Bowen Song and Jiani Ma and Yi Song and Zhang, {Song Yao} and Yujiao Tang and Xiangyu Wu and Zhen Wei and Kunqi Chen and Jionglong Su and Rong Rong and Zhiliang Lu and {de Magalh{\~a}es}, {Jo{\~a}o Pedro} and Rigden, {Daniel J.} and Lin Zhang and Zhang, {Shao Wu} and Yufei Huang and Xiujuan Lei and Hui Liu and Jia Meng",
note = "Publisher Copyright: {\textcopyright} 2020 The Author(s)",
year = "2020",
doi = "10.1016/j.csbj.2020.06.010",
language = "English",
volume = "18",
pages = "1587--1604",
journal = "Computational and Structural Biotechnology Journal",
issn = "2001-0370",
}
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 2020, 'Bioinformatics approaches for deciphering the epitranscriptome: Recent progress and emerging topics', Computational and Structural Biotechnology Journal, vol. 18, pp. 1587-1604. https://doi.org/10.1016/j.csbj.2020.06.010
Bioinformatics approaches for deciphering the epitranscriptome: Recent progress and emerging topics. / Liu, Lian; Song, Bowen; Ma, Jiani et al.
In:
Computational and Structural Biotechnology Journal, Vol. 18, 2020, p. 1587-1604.
Research output: Contribution to journal › Review article › peer-review
TY - JOUR
T1 - Bioinformatics approaches for deciphering the epitranscriptome
T2 - Recent progress and emerging topics
AU - Liu, Lian
AU - Song, Bowen
AU - Ma, Jiani
AU - Song, Yi
AU - Zhang, Song Yao
AU - Tang, Yujiao
AU - Wu, Xiangyu
AU - Wei, Zhen
AU - Chen, Kunqi
AU - Su, Jionglong
AU - Rong, Rong
AU - Lu, Zhiliang
AU - de Magalhães, João Pedro
AU - Rigden, Daniel J.
AU - Zhang, Lin
AU - Zhang, Shao Wu
AU - Huang, Yufei
AU - Lei, Xiujuan
AU - Liu, Hui
AU - Meng, Jia
N1 - Publisher Copyright:
© 2020 The Author(s)
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
KW - Bioinformatics approaches
KW - Epitranscriptome
KW - Future perspective
KW - RNA modification
KW - Recent progress
UR - http://www.scopus.com/inward/record.url?scp=85087151967&partnerID=8YFLogxK
U2 - 10.1016/j.csbj.2020.06.010
DO - 10.1016/j.csbj.2020.06.010
M3 - Review article
AN - SCOPUS:85087151967
SN - 2001-0370
VL - 18
SP - 1587
EP - 1604
JO - Computational and Structural Biotechnology Journal
JF - Computational and Structural Biotechnology Journal
ER -
Liu L, Song B, Ma J, Song Y, Zhang SY, Tang Y et al. Bioinformatics approaches for deciphering the epitranscriptome: Recent progress and emerging topics. Computational and Structural Biotechnology Journal. 2020;18:1587-1604. doi: 10.1016/j.csbj.2020.06.010
