Jühling Frank, Kretzmer Helene, Bernhart Stephan H, Otto Christian, Stadler Peter F, Hoffmann Steve
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.
Genome Res. 2016 Feb;26(2):256-62. doi: 10.1101/gr.196394.115. Epub 2015 Dec 2.
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.
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。