GC6mA-Pred: A deep learning approach to identify DNA N6-methyladenine sites in the rice genome.

Journal: Methods (San Diego, Calif.)
PMID: 35149214

Abstract

MOTIVATION: DNA N6-methyladenine (6mA) is a pivotal DNA modification for various biological processes. More accurate prediction of 6mA methylation sites plays an irreplaceable part in grasping the internal rationale of related biological activities. However, the existing prediction methods only extract information from a single dimension, which has some limitations. Therefore, it is very necessary to obtain the information of 6mA sites from different dimensions, so as to establish a reliable prediction method.

Authors

  • Jianhua Cai
    Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, College of Computer and Control Engineering, Minjiang University, Fuzhou, China; College of Computer and Data Science, Fuzhou University, Fuzhou, PR China.
  • Guobao Xiao
    Fujian Provincial Key Laboratory of Information Processing and Intelligent Control (Minjiang University), Fuzhou, China.
  • Ran Su
    School of Software, Tianjin University, Tianjin, China.

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