title: Benchmark data for identifying DNA methylation sites via pseudo trinucleotide composition.
abstract: This data article contains three benchmark datasets for training and testing iDNA-Methyl, a web-server predictor for identifying DNA methylation sites [Liu et al. Anal. Biochem. 474 (2015) 69-79].
authors.affiliation: Computer Department, Jing-De-Zhen Ceramic Institute, Jing-De-Zhen 333403 China.
authors.forename: Zi
authors.initials: Z
authors.lastname: Liu
authors.affiliation: Computer Department, Jing-De-Zhen Ceramic Institute, Jing-De-Zhen 333403 China ; Information School, ZheJiang Textile & Fashion College, NingBo, 315211 China ; Gordon Life Science Institute, Boston, MA 02478, United States.
authors.forename: Xuan
authors.initials: X
authors.lastname: Xiao
authors.affiliation: Computer Department, Jing-De-Zhen Ceramic Institute, Jing-De-Zhen 333403 China.
authors.forename: Wang-Ren
authors.initials: WR
authors.lastname: Qiu
authors.affiliation: Gordon Life Science Institute, Boston, MA 02478, 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