随着染色体构象捕获技术的发展，高通量染色质构象捕获（Hi-C）技术被广泛应用于整个基因组范围内的高次级染色质结构研究，成为了解基因调控机制的重要组成部分。考虑到基因和表观遗传差异通常被用来探索染色体和基因水平的病理原因，利用交互式浏览器可视化多组学数据并进行直观分析成为一种强大且受欢迎的方式。本文开发了一种名为HiBrowser的有效序列和染色质相互作用数据展示浏览器，用于可视化和分析Hi-C数据及其相关的遗传和表观遗传注释。HiBrowser的优点在于灵活的多组学导航、新颖的多维同步比较和动态交互系统。特别地，HiBrowser首先提供开箱即用的Web服务，并允许在运行过程中按需灵活动态重建自定义注释轨迹。为了方便直观地分析多个样本之间的相似性和差异性，如正常和肿瘤组织样本的可视化比较以及多个（同系）物种的全基因组，HiBrowser开发了克隆模式，以在可视化的同一页上同步显示多个样本的基因组坐标位置或相同区域。HiBrowser还支持对远程顺式调节元素相关数据的多样化和精确搜索，并根据搜索结果导航到Hi-C热图上的任何感兴趣的区域。HiBrowser是一款无需构建的工具，可以轻松部署在本地服务器上。源代码可在https://github.com/lyotvincent/HiBrowser 获取。© 2023 作者（们）. 牛津大学出版社发表. 保留所有权利. 如需权限，请发送电子邮件至:journals.permissions@oup.com.

With the development of chromosome conformation capture technology, the genome-wide investigation of higher-order chromatin structure by using high-throughput chromatin conformation capture (Hi-C) technology is emerging as an important component for understanding the mechanism of gene regulation. Considering genetic and epigenetic differences are typically used to explore the pathological reasons on the chromosome and gene level, visualizing multi-omics data and performing an intuitive analysis by using an interactive browser become a powerful and welcomed way. In this paper, we develop an effective sequence and chromatin interaction data display browser called HiBrowser for visualizing and analyzing Hi-C data and their associated genetic and epigenetic annotations. The advantages of HiBrowser are flexible multi-omics navigation, novel multidimensional synchronization comparisons and dynamic interaction system. In particular, HiBrowser first provides an out of the box web service and allows flexible and dynamic reconstruction of custom annotation tracks on demand during running. In order to conveniently and intuitively analyze the similarities and differences among multiple samples, such as visual comparisons of normal and tumor tissue samples, and pan genomes of multiple (consanguineous) species, HiBrowser develops a clone mode to synchronously display the genome coordinate positions or the same regions of multiple samples on the same page of visualization. HiBrowser also supports a pluralistic and precise search on correlation data of distal cis-regulatory elements and navigation to any region on Hi-C heatmap of interest according to the searching results. HiBrowser is a no-build tool, and could be easily deployed in local server. The source code is available at https://github.com/lyotvincent/HiBrowser.© The Author(s) 2023. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.