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...
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: | |
Online Access: | http://link.springer.com/article/10.1186/s12859-020-03828-4 |
Similar Items
-
iPromoter-5mC: A Novel Fusion Decision Predictor for the Identification of 5-Methylcytosine Sites in Genome-Wide DNA Promoters
by: Lei Zhang, et al.
Published: (2020-07-01) -
Prediction of m5C Modifications in RNA Sequences by Combining Multiple Sequence Features
by: Lijun Dou, et al.
Published: (2020-09-01) -
4mCPred-CNN—Prediction of DNA N4-Methylcytosine in the Mouse Genome Using a Convolutional Neural Network
by: Zeeshan Abbas, et al.
Published: (2021-02-01) -
Empirical Comparison and Analysis of Web-Based DNA N4-Methylcytosine Site Prediction Tools
by: Balachandran Manavalan, et al.
Published: (2020-12-01) -
4mCpred-EL: An Ensemble Learning Framework for Identification of DNA <i>N<sup>4</sup></i>-Methylcytosine Sites in the Mouse Genome
by: Balachandran Manavalan, et al.
Published: (2019-10-01)