title: Benchmark data for identifying N(6)-methyladenosine sites in the Saccharomyces cerevisiae genome.
abstract: This data article contains the benchmark dataset for training and testing iRNA-Methyl, a web-server predictor for identifying N(6)-methyladenosine sites in RNA (Chen et al., 2015 [15]). It can also be used to develop other predictors for identifying N(6)-methyladenosine sites in the Saccharomyces cerevisiae genome.
authors.affiliation: Department of Physics, School of Sciences, Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan 063009, China; Gordon Life Science Institute, Belmont, MA, United States.
authors.forename: Wei
authors.initials: W
authors.lastname: Chen
authors.affiliation: School of Public Health, North China University of Science and Technology, Tangshan 063000, China.
authors.forename: Pengmian
authors.initials: P
authors.lastname: Feng
authors.affiliation: School of Public Health, North China University of Science and Technology, Tangshan 063000, China.
authors.forename: Hui
authors.initials: H
authors.lastname: Ding
authors.affiliation: Key Laboratory for Neuro-Information of Ministry of Education, Center of Bioinformatics and Center for Information in Biomedicine, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China; Gordon Life Science Institute, Belmont, MA, United States.
authors.forename: Hao
authors.initials: H
authors.lastname: Lin
authors.affiliation: Gordon Life Science Institute, Belmont, MA, United States; Center of Excellence in Genomic Medicine Research (CEGMR), King Abdulaziz University, Jeddah 21589, Saudi Arabia.
authors.forename: Kuo-Chen
authors.initials: KC
authors.lastname: Chou
keywords: N6-methyladenosine sites; PseAAC; PseKNC