m5UPred: A Web Server for the Prediction of RNA 5-Methyluridine Sites from Sequences

Jie Jiang; Bowen Song; Yujiao Tang; Kunqi Chen; Zhen Wei; Jia Meng

doi:10.1016/j.omtn.2020.09.031

m5UPred: A Web Server for the Prediction of RNA 5-Methyluridine Sites from Sequences

Jie Jiang, Bowen Song^*, Yujiao Tang, Kunqi Chen, Zhen Wei, Jia Meng

^*Corresponding author for this work

Department of Biological Sciences

Research output: Contribution to journal › Article › peer-review

25 Citations (Scopus)

Abstract

Jie Jiang et al. present m5UPred, the first web server for identification of m⁵U sites from the primary sequences of RNA by advanced computational method in this study. It can help to accurately predict the m⁵U sites from RNA sequences, which will assist researchers to understand the RNA methylation mechanism and its biological functions.

Original language	English
Pages (from-to)	742-747
Number of pages	6
Journal	Molecular Therapy - Nucleic Acids
Volume	22
DOIs	https://doi.org/10.1016/j.omtn.2020.09.031
Publication status	Published - 4 Dec 2020

Keywords

5-methyluridine
SVM
mU
sequence-derived features
support vector machine

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10.1016/j.omtn.2020.09.031

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abstract = "Jie Jiang et al. present m5UPred, the first web server for identification of m5U sites from the primary sequences of RNA by advanced computational method in this study. It can help to accurately predict the m5U sites from RNA sequences, which will assist researchers to understand the RNA methylation mechanism and its biological functions.",

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AU - Chen, Kunqi

AU - Wei, Zhen

AU - Meng, Jia

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KW - SVM

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KW - sequence-derived features

KW - support vector machine

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m5UPred: A Web Server for the Prediction of RNA 5-Methyluridine Sites from Sequences

Abstract

Keywords

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