Literature DB >> 26912125

MethyRNA: a web server for identification of N6-methyladenosine sites.

Wei Chen1, Hua Tang2, Hao Lin3.   

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Year:  2016        PMID： 26912125     DOI： 10.1080/07391102.2016.1157761

Source DB:  PubMed          Journal:  J Biomol Struct Dyn        ISSN： 0739-1102


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  40 in total

1.  Identifying N 6-methyladenosine sites in the Arabidopsis thaliana transcriptome.

Authors:  Wei Chen; Pengmian Feng; Hui Ding; Hao Lin
Journal:  Mol Genet Genomics       Date:  2016-09-02       Impact factor: 3.291

2.  Predicting sites of epitranscriptome modifications using unsupervised representation learning based on generative adversarial networks.

Authors:  Sirajul Salekin; Milad Mostavi; Yu-Chiao Chiu; Yidong Chen; Jianqiu Michelle Zhang; Yufei Huang
Journal:  Front Phys       Date:  2020-06-19

3.  WHISTLE: a high-accuracy map of the human N6-methyladenosine (m6A) epitranscriptome predicted using a machine learning approach.

Authors:  Kunqi Chen; Zhen Wei; Qing Zhang; Xiangyu Wu; Rong Rong; Zhiliang Lu; Jionglong Su; João Pedro de Magalhães; Daniel J Rigden; Jia Meng
Journal:  Nucleic Acids Res       Date:  2019-04-23       Impact factor: 16.971

4.  m6A-express: uncovering complex and condition-specific m6A regulation of gene expression.

Authors:  Teng Zhang; Shao-Wu Zhang; Song-Yao Zhang; Shou-Jiang Gao; Yidong Chen; Yufei Huang
Journal:  Nucleic Acids Res       Date:  2021-11-18       Impact factor: 16.971

5.  Geographic encoding of transcripts enabled high-accuracy and isoform-aware deep learning of RNA methylation.

Authors:  Daiyun Huang; Kunqi Chen; Bowen Song; Zhen Wei; Jionglong Su; Frans Coenen; João Pedro de Magalhães; Daniel J Rigden; Jia Meng
Journal:  Nucleic Acids Res       Date:  2022-10-14       Impact factor: 19.160

6.  Deep learning modeling m6A deposition reveals the importance of downstream cis-element sequences.

Authors:  Zhiyuan Luo; Jiacheng Zhang; Jingyi Fei; Shengdong Ke
Journal:  Nat Commun       Date:  2022-05-17       Impact factor: 17.694

7.  RMDisease: a database of genetic variants that affect RNA modifications, with implications for epitranscriptome pathogenesis.

Authors:  Kunqi Chen; Bowen Song; Yujiao Tang; Zhen Wei; Qingru Xu; Jionglong Su; João Pedro de Magalhães; Daniel J Rigden; Jia Meng
Journal:  Nucleic Acids Res       Date:  2021-01-08       Impact factor: 16.971

8.  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

9.  RFAthM6A: a new tool for predicting m6A sites in Arabidopsis thaliana.

Authors:  Xiaofeng Wang; Renxiang Yan
Journal:  Plant Mol Biol       Date:  2018-01-16       Impact factor: 4.076

10.  HSM6AP: a high-precision predictor for the Homo sapiens N6-methyladenosine (m^6 A) based on multiple weights and feature stitching.

Authors:  Jing Li; Shida He; Fei Guo; Quan Zou
Journal:  RNA Biol       Date:  2021-02-12       Impact factor: 4.652
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