| Literature DB >> 25044241 |
Shu Xiao1, Xiaoyi Cao, Sheng Zhong.
Abstract
UNLABELLED: Epigenomic profiling, by revealing genome-wide distributions of epigenetic modifications, generated a large amount of structural information about the chromosomes. Epigenomic analysis has quickly become a big data science, posing tremendous challenges on its translation into knowledge. To meet this challenge, comparative analysis of epigenomes, dubbed comparative epigenomics, has emerged as an active research area. Here, we summarize the recent developments in comparative epigenomic analyses into three major directions, namely the comparisons across species, the time-course of a biological process, and individuals. We review the main ideas, methods, and findings in each direction, and discuss the implications to understanding the regulatory functions of the genomes. CONFLICT OF INTEREST: The authors have declared no conflicts of interest for this article.Entities:
Mesh:
Year: 2014 PMID: 25044241 PMCID: PMC4851441 DOI: 10.1002/wsbm.1274
Source DB: PubMed Journal: Wiley Interdiscip Rev Syst Biol Med ISSN: 1939-005X