We present Mustache , a new method for multi-scale detection of chromatin loops from Hi-C and Micro-C contact maps. Mustache employs scale-space theory, a technical advance in computer vision, to detect blob-shaped objects in contact maps. Mustache is scalable to kilobase-resolution maps and reports loops that are highly consistent between replicates and between Hi-C and Micro-C datasets. Compared to other loop callers, such as HiCCUPS and SIP, Mustache recovers a higher number of published ChIA-PET and HiChIP loops as well as loops linking promoters to regulatory elements. Overall, Mustache enables an efficient and comprehensive analysis of chromatin loops. Available at: https://github.com/ay-lab/mustache .

中文翻译：

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Mustache：使用尺度空间表示从 Hi-C 和 Micro-C 图谱中多尺度检测染色质环


我们提出了 Mustache，一种从 Hi-C 和 Micro-C 接触图多尺度检测染色质环的新方法。 Mustache 采用尺度空间理论（计算机视觉的一项技术进步）来检测接触图中的斑点状物体。 Mustache 可扩展到千碱基分辨率图谱和报告循环，这些图谱和报告循环在重复项之间以及 Hi-C 和 Micro-C 数据集之间高度一致。与其他循环调用程序（例如 HiCCUPS 和 SIP）相比，Mustache 恢复了更多已发布的 ChIA-PET 和 HiChIP 循环以及将启动子与调控元件连接的循环。总体而言，Mustache 能够对染色质环进行高效、全面的分析。网址为：https://github.com/ay-lab/mustache。