%A Huang,Qianfei %A Zhang,Jun %A Wei,Leyi %A Guo,Fei %A Zou,Quan %D 2020 %J Frontiers in Plant Science %C %F %G English %K rice,Model,Fusion,DNA,6mA %Q %R 10.3389/fpls.2020.00004 %W %L %M %P %7 %8 2020-January-31 %9 Technology and Code %+ Fei Guo,College of Intelligence and Computing, Tianjin University,China,fguo@tju.edu.cn %+ Quan Zou,Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China,China,fguo@tju.edu.cn %# %! 6mA-RicePred %* %< %T 6mA-RicePred: A Method for Identifying DNA N6-Methyladenine Sites in the Rice Genome Based on Feature Fusion %U https://www.frontiersin.org/articles/10.3389/fpls.2020.00004 %V 11 %0 JOURNAL ARTICLE %@ 1664-462X %X MotivationThe biological function of N6-methyladenine DNA (6mA) in plants is largely unknown. Rice is one of the most important crops worldwide and is a model species for molecular and genetic studies. There are few methods for 6mA site recognition in the rice genome, and an effective computational method is needed.ResultsIn this paper, we propose a new computational method called 6mA-Pred to identify 6mA sites in the rice genome. 6mA-Pred employs a feature fusion method to combine advantageous features from other methods and thus obtain a new feature to identify 6mA sites. This method achieved an accuracy of 87.27% in the identification of 6mA sites with 10-fold cross-validation and achieved an accuracy of 85.6% in independent test sets.