Division of Genome Biology, Institute for Genetic Medicine, Hokkaido University, Sapporo, Japan.
Institute of Molecular Biology, University of Oregon, Eugene, OR, USA.
Methods Mol Biol. 2025;2856:133-155. doi: 10.1007/978-1-0716-4136-1_8.
The Hi-C method has emerged as an indispensable tool for analyzing the 3D organization of the genome, becoming increasingly accessible and frequently utilized in chromatin research. To effectively leverage 3D genomics data obtained through advanced technologies, it is crucial to understand what processes are undertaken and what aspects require special attention within the bioinformatics pipeline. This protocol aims to demystify the Hi-C data analysis process for field newcomers. In a step-by-step manner, we describe how to process Hi-C data, from the initial sequencing of the Hi-C library to the final visualization of Hi-C contact data as heatmaps. Each step of the analysis is clearly explained to ensure an understanding of the procedures and their objectives. By the end of this chapter, readers will be equipped with the knowledge to transform raw Hi-C reads into informative visual representations, facilitating a deeper comprehension of the spatial genomic structures critical to cellular functions.
Hi-C 方法已成为分析基因组三维结构不可或缺的工具,在染色质研究中越来越普及和常用。为了有效地利用通过先进技术获得的 3D 基因组学数据,了解生物信息学管道中进行的过程以及需要特别注意的方面至关重要。本方案旨在为领域新手揭开 Hi-C 数据分析过程的神秘面纱。我们逐步描述如何处理 Hi-C 数据,从 Hi-C 文库的初始测序到最终将 Hi-C 接触数据可视化成热图。分析的每个步骤都有明确的解释,以确保理解程序及其目标。读完本章后,读者将具备将原始 Hi-C 读取转化为信息丰富的可视化表示的知识,从而更深入地了解对细胞功能至关重要的空间基因组结构。