MHiC，一个用于 Hi-C 数据中显著相互作用的识别和可视化的集成式用户友好工具。
MHiC, an integrated user-friendly tool for the identification and visualization of significant interactions in Hi-C data.
机构信息
Faculty of Computer Engineering, Shahrood University of Technology, Shahrood, Iran.
Systems Biology and Health Data Analytics Lab, The Graduate School of Biomedical Engineering, UNSW Sydney, Sydney, 2052, Australia.
出版信息
BMC Genomics. 2020 Mar 12;21(1):225. doi: 10.1186/s12864-020-6636-7.
BACKGROUND
Hi-C is a molecular biology technique to understand the genome spatial structure. However, data obtained from Hi-C experiments is biased. Therefore, several methods have been developed to model Hi-C data and identify significant interactions. Each method receives its own Hi-C data structure and only work on specific operating systems.
RESULTS
We introduce MHiC (Multi-function Hi-C data analysis tool), a tool to identify and visualize statistically signifiant interactions from Hi-C data. The MHiC tool (i) works on different operating systems, (ii) accepts various Hi-C data structures from different Hi-C analysis tools such as HiCUP or HiC-Pro, (iii) identify significant Hi-C interactions with GOTHiC, HiCNorm and Fit-Hi-C methods and (iv) visualizes interactions in Arc or Heatmap diagram. MHiC is an open-source tool which is freely available for download on https://github.com/MHi-C.
CONCLUSIONS
MHiC is an integrated tool for the analysis of high-throughput chromosome conformation capture (Hi-C) data.
背景
Hi-C 是一种用于了解基因组空间结构的分子生物学技术。然而，从 Hi-C 实验中获得的数据存在偏差。因此，已经开发了几种方法来对 Hi-C 数据进行建模并识别显著的相互作用。每种方法都接收自己的 Hi-C 数据结构，并且仅在特定的操作系统上运行。
结果
我们介绍了 MHiC（多功能 Hi-C 数据分析工具），这是一种用于从 Hi-C 数据中识别和可视化具有统计学意义的相互作用的工具。MHiC 工具 (i) 可在不同的操作系统上运行，(ii) 接受来自不同 Hi-C 分析工具（如 HiCUP 或 HiC-Pro）的各种 Hi-C 数据结构，(iii) 使用 GOTHiC、HiCNorm 和 Fit-Hi-C 方法识别显著的 Hi-C 相互作用，以及 (iv) 在 Arc 或 Heatmap 图中可视化相互作用。MHiC 是一个开源工具，可在 https://github.com/MHi-C 上免费下载。
结论
MHiC 是一种用于分析高通量染色体构象捕获 (Hi-C) 数据的集成工具。
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