Benchmark data for identifying DNA methylation sites via pseudo trinucleotide composition

Zi Liu; Xuan Xiao; Wang-Ren Qiu; Kuo-Chen Chou

doi:10.1016/j.dib.2015.04.021

Benchmark data for identifying DNA methylation sites via pseudo trinucleotide composition

Data Brief. 2015 May 7:4:87-9. doi: 10.1016/j.dib.2015.04.021. eCollection 2015 Sep.

Authors

Zi Liu¹, Xuan Xiao², Wang-Ren Qiu¹, Kuo-Chen Chou³

Affiliations

¹ Computer Department, Jing-De-Zhen Ceramic Institute, Jing-De-Zhen 333403 China.
² 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.
³ Gordon Life Science Institute, Boston, MA 02478, United States ; Center of Excellence in Genomic Medicine Research (CEGMR), King Abdulaziz University, Jeddah 21589, Saudi Arabia.

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].