m5CPred-SVM: a novel method for predicting m5C sites of RNA

m5CPred-SVM: a novel method for predicting m5C sites of RNA

Abstract Background As one of the most common post-transcriptional modifications (PTCM) in RNA, 5-cytosine-methylation plays important roles in many biological functions such as RNA metabolism and cell fate decision. Through accurate identification of 5-methylcytosine (m5C) sites on RNA, researchers...

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Bibliographic Details
Main Authors: Xiao Chen, Yi Xiong, Yinbo Liu, Yuqing Chen, Shoudong Bi, Xiaolei Zhu
Format: Article
Language:English
Published: BMC 2020-10-01
Series:BMC Bioinformatics
Subjects:
5-Methylcytosine sites
Support vector machine
Computational predictor
Position specific propensity
Web server
Online Access:http://link.springer.com/article/10.1186/s12859-020-03828-4

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http://link.springer.com/article/10.1186/s12859-020-03828-4

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