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甲基化:从亚硫酸氢盐测序数据中快速且灵敏地识别差异甲基化区域

metilene: fast and sensitive calling of differentially methylated regions from bisulfite sequencing data.

作者信息

Jühling Frank, Kretzmer Helene, Bernhart Stephan H, Otto Christian, Stadler Peter F, Hoffmann Steve

机构信息

Transcriptome Bioinformatics Group, LIFE - Leipzig Research Center for Civilization Diseases, University of Leipzig, 04107 Leipzig, Germany; Interdisciplinary Center for Bioinformatics and Bioinformatics Group, Faculty of Computer Science, University of Leipzig, 04107 Leipzig, Germany;

Interdisciplinary Center for Bioinformatics and Bioinformatics Group, Faculty of Computer Science, University of Leipzig, 04107 Leipzig, Germany; RNomics Group, Fraunhofer Institute for Cell Therapy and Immunology - IZI, 04103 Leipzig, Germany; Santa Fe Institute, Santa Fe, New Mexico 87501, USA; Department of Theoretical Chemistry, University of Vienna, 1090 Vienna, Austria; Max Planck Institute for Mathematics in Sciences, 04103 Leipzig, Germany.

出版信息

Genome Res. 2016 Feb;26(2):256-62. doi: 10.1101/gr.196394.115. Epub 2015 Dec 2.

Abstract

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.

摘要

检测差异甲基化区域(DMR)是表征不同表观遗传状态的必要前提。我们提出了一个新颖的程序metilene,用于在全基因组和靶向数据中识别DMR,具有无与伦比的特异性和灵敏度。一种结合二维统计检验的二元分割算法,能够在大型甲基化实验中,利用现成的硬件,在几分钟而非几天内检测出多组样本中的DMR。对于低覆盖度数据,metilene优于其他现有最先进的工具,并且能够估算缺失数据。因此,metilene是一种通用工具,可在全球全基因组水平上研究表观遗传修饰在分化/发育、肿瘤发生和系统生物学中的作用。无论是在每组有数十个样本的国际合作项目框架内,还是甚至没有生物学重复的情况下,它都能产生高度显著且可靠的结果。

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