Analysing and interpreting DNA methylation data

被引：396
作者：
Bock, Christoph [1 ,2 ,3 ]
机构：
[1] Austrian Acad Sci, CeMM Res Ctr Mol Med, A-1090 Vienna, Austria
[2] Med Univ Vienna, Dept Lab Med, A-1090 Vienna, Austria
[3] Max Planck Inst Informat, D-66123 Saarbrucken, Germany
来源：
NATURE REVIEWS GENETICS | 2012年 / 13卷 / 10期
关键词：
EMBRYONIC STEM-CELLS; COMPUTATIONAL ANALYSIS; CLUSTER-ANALYSIS; SINGLE-MOLECULE; ARRAY DATA; R PACKAGE; BISULFITE; METHYLOME; EPIGENOME; IDENTIFICATION;
D O I：
10.1038/nrg3273
中图分类号：
Q3 [遗传学];
学科分类号：
071007 ; 090102 ;
摘要：
DNA methylation is an epigenetic mark that has suspected regulatory roles in a broad range of biological processes and diseases. The technology is now available for studying DNA methylation genome-wide, at a high resolution and in a large number of samples. This Review discusses relevant concepts, computational methods and software tools for analysing and interpreting DNA methylation data. It focuses not only on the bioinformatic challenges of large epigenome-mapping projects and epigenome-wide association studies but also highlights software tools that make genome-wide DNA methylation mapping more accessible for laboratories with limited bioinformatics experience.
引用
收藏
页码：705 / 719
页数：15
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