Literature DB >> 28961687

iDNA4mC: identifying DNA N4-methylcytosine sites based on nucleotide chemical properties.

Wei Chen1, Hui Yang2, Pengmian Feng3, Hui Ding2, Hao Lin2.   

Abstract

MOTIVATION: DNA N4-methylcytosine (4mC) is an epigenetic modification. The knowledge about the distribution of 4mC is helpful for understanding its biological functions. Although experimental methods have been proposed to detect 4mC sites, they are expensive for performing genome-wide detections. Thus, it is necessary to develop computational methods for predicting 4mC sites.
RESULTS: In this work, we developed iDNA4mC, the first webserver to identify 4mC sites, in which DNA sequences are encoded with both nucleotide chemical properties and nucleotide frequency. The predictive results of the rigorous jackknife test and cross species test demonstrated that the performance of iDNA4mC is quite promising and holds high potential to become a useful tool for identifying 4mC sites.
AVAILABILITY AND IMPLEMENTATION: The user-friendly web-server, iDNA4mC, is freely accessible at http://lin.uestc.edu.cn/server/iDNA4mC. CONTACT: chenweiimu@gmail.com or hlin@uestc.edu.cn.
© The Author (2017). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com

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Year:  2017        PMID: 28961687     DOI: 10.1093/bioinformatics/btx479

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  65 in total

1.  i6mA-VC: A Multi-Classifier Voting Method for the Computational Identification of DNA N6-methyladenine Sites.

Authors:  Tian Xue; Shengli Zhang; Huijuan Qiao
Journal:  Interdiscip Sci       Date:  2021-04-08       Impact factor: 2.233

2.  MULTiPly: a novel multi-layer predictor for discovering general and specific types of promoters.

Authors:  Meng Zhang; Fuyi Li; Tatiana T Marquez-Lago; André Leier; Cunshuo Fan; Chee Keong Kwoh; Kuo-Chen Chou; Jiangning Song; Cangzhi Jia
Journal:  Bioinformatics       Date:  2019-09-01       Impact factor: 6.937

3.  Twenty years of bioinformatics research for protease-specific substrate and cleavage site prediction: a comprehensive revisit and benchmarking of existing methods.

Authors:  Fuyi Li; Yanan Wang; Chen Li; Tatiana T Marquez-Lago; André Leier; Neil D Rawlings; Gholamreza Haffari; Jerico Revote; Tatsuya Akutsu; Kuo-Chen Chou; Anthony W Purcell; Robert N Pike; Geoffrey I Webb; A Ian Smith; Trevor Lithgow; Roger J Daly; James C Whisstock; Jiangning Song
Journal:  Brief Bioinform       Date:  2019-11-27       Impact factor: 11.622

4.  Deep4mC: systematic assessment and computational prediction for DNA N4-methylcytosine sites by deep learning.

Authors:  Haodong Xu; Peilin Jia; Zhongming Zhao
Journal:  Brief Bioinform       Date:  2021-05-20       Impact factor: 11.622

5.  IDDLncLoc: Subcellular Localization of LncRNAs Based on a Framework for Imbalanced Data Distributions.

Authors:  Yan Wang; Xiaopeng Zhu; Lili Yang; Xuemei Hu; Kai He; Cuinan Yu; Shaoqing Jiao; Jiali Chen; Rui Guo; Sen Yang
Journal:  Interdiscip Sci       Date:  2022-02-22       Impact factor: 2.233

6.  HLMethy: a machine learning-based model to identify the hidden labels of m6A candidates.

Authors:  Ze Liu; Wei Dong; WenJie Luo; Wei Jiang; QuanWu Li; ZiLi He
Journal:  Plant Mol Biol       Date:  2019-11-13       Impact factor: 4.076

7.  iDNA-MT: Identification DNA Modification Sites in Multiple Species by Using Multi-Task Learning Based a Neural Network Tool.

Authors:  Xiao Yang; Xiucai Ye; Xuehong Li; Lesong Wei
Journal:  Front Genet       Date:  2021-03-31       Impact factor: 4.599

8.  Accurate identification of RNA D modification using multiple features.

Authors:  Lijun Dou; Wenyang Zhou; Lichao Zhang; Lei Xu; Ke Han
Journal:  RNA Biol       Date:  2021-03-17       Impact factor: 4.652

9.  4mCPred-MTL: Accurate Identification of DNA 4mC Sites in Multiple Species Using Multi-Task Deep Learning Based on Multi-Head Attention Mechanism.

Authors:  Rao Zeng; Song Cheng; Minghong Liao
Journal:  Front Cell Dev Biol       Date:  2021-05-10

10.  i4mC-EL: Identifying DNA N4-Methylcytosine Sites in the Mouse Genome Using Ensemble Learning.

Authors:  Yanjuan Li; Zhengnan Zhao; Zhixia Teng
Journal:  Biomed Res Int       Date:  2021-05-29       Impact factor: 3.411

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