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BioMed Research International
Volume 2016 (2016), Article ID 1597489, 10 pages
Research Article

META2: Intercellular DNA Methylation Pairwise Annotation and Integrative Analysis

1Epigenetics & Function Group, School of Internet of Things, Hohai University, Jiangsu 213022, China
2School of Public Health, Shanghai Jiao Tong University, Shanghai 200025, China

Received 17 September 2016; Accepted 12 December 2016

Academic Editor: Hao-Teng Chang

Copyright © 2016 Binhua Tang. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Genome-wide deciphering intercellular differential DNA methylation as well as its roles in transcriptional regulation remains elusive in cancer epigenetics. Here we developed a toolkit META2 for DNA methylation annotation and analysis, which aims to perform integrative analysis on differentially methylated loci and regions through deep mining and statistical comparison methods. META2 contains multiple versatile functions for investigating and annotating DNA methylation profiles. Benchmarked with T-47D cell, we interrogated the association within differentially methylated CpG (DMC) and region (DMR) candidate count and region length and identified major transition zones as clues for inferring statistically significant DMRs; together we validated those DMRs with the functional annotation. Thus META2 can provide a comprehensive analysis approach for epigenetic research and clinical study.