In epigenetics, the change of the combination of histone modifications at the same genomic location during cell differentiation is of great interest for understanding the function of these modifications and their combinations. Besides analyzing them locally for individual genomic locations or globally using correlations between different cells types, intermediate level analyses of these changes are of interest. More specifically, the different distributions of these combinations for different cell types, respectively, are compared to gain new insights. We propose a new tool called ‘Masakari’ that allows segmenting genomes based on lists of ranges having a certain property, e.g., peaks describing histone modifications. It provides a graphical user interface allowing to select all data sets and setting all parameters needed for the segmentation process. Moreover, the graphical user interface provides statistical graphics allowing to assess the quality and suitability of the segmentation and the selected data. Masakari provides statistics based visualizations and thus fosters insights into the combination of histone modification marks on genome ranges, and the differences of the distribution of these combinations between different cell types.

中文翻译：

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Masakari：可视化支持基因组分割的统计分析

在表观遗传学中，组蛋白修饰的组合在细胞分化过程中在同一基因组位置的变化对于理解这些修饰及其组合的功能非常重要。除了本地分析各个基因组位置或使用不同细胞类型之间的相关性进行全局分析外，还需要对这些变化进行中间水平分析。更具体地说，分别比较了这些组合针对不同细胞类型的不同分布，以获得新的见解。我们提出了一种名为“ Masakari”的新工具，该工具可以根据具有特定属性的范围列表（例如描述组蛋白修饰的峰）对基因组进行分段。它提供了图形用户界面，允许选择所有数据集并设置分割过程所需的所有参数。此外，图形用户界面提供统计图形，允许评估分段和所选数据的质量和适用性。Masakari提供了基于统计的可视化效果，因此有助于深入了解组蛋白修饰标记在基因组范围内的组合，以及这些组合在不同细胞类型之间的分布差异。