生物
差异甲基化区
表观遗传学
DNA甲基化
计算生物学
亚硫酸氢盐测序
基因组
亚硫酸氢盐
遗传学
甲基化
进化生物学
基因
基因表达
作者
Frank Jühling,Helene Kretzmer,Stephan H. Bernhart,Christian Otto,Peter F. Stadler,Steve Hoffmann
出处
期刊:Genome Research
[Cold Spring Harbor Laboratory Press]
日期:2016-02-01
卷期号:26 (2): 256-262
被引量:221
标识
DOI:10.1101/gr.196394.115
摘要
The detection of differentially methylated regions (DMRs) is a necessary prerequisite for characterizing different epigenetic states. We present a novel program, metilene, to identify DMRs within whole-genome and targeted data with unrivaled specificity and sensitivity. A binary segmentation algorithm combined with a two-dimensional statistical test allows the detection of DMRs in large methylation experiments with multiple groups of samples in minutes rather than days using off-the-shelf hardware. metilene outperforms other state-of-the-art tools for low coverage data and can estimate missing data. Hence, metilene is a versatile tool to study the effect of epigenetic modifications in differentiation/development, tumorigenesis, and systems biology on a global, genome-wide level. Whether in the framework of international consortia with dozens of samples per group, or even without biological replicates, it produces highly significant and reliable results.
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