HiBrowser:用于同步Hi-C数据可视化的交互式和动态浏览器
Pingjing Li1,2, Hong Liu3, Jialiang Sun1,2
1College of Computer Science, Nankai University, Tianjin 300071, China.
Briefings in bioinformatics
|August 6, 2023
概括
HiBrowser是一款用于可视化和分析高通量染色体构成捕获 (Hi-C) 数据的新工具. 它使灵活的多omics导航和同步比较能够更深入地了解基因调节和病理学.
科学领域:
- 基因组学就是基因组学.
- 分子生物学分子生物学
- 生物信息学是一种生物信息学.
背景情况:
- 高通量染色体构造捕获 (Hi-C) 对于理解高阶染色体结构和基因调节至关重要.
- 使用交互式浏览器可视化多omics数据有助于探索疾病中的遗传和表观遗传因素.
研究的目的:
- 开发HiBrowser,一个有效的浏览器可用于可视化和分析Hi-C数据与相关的遗传和表观遗传注释.
- 为直观的数据分析提供灵活的多omics导航,多维同步和动态交互.
主要方法:
- 开发了HiBrowser,这是一个用于可视化Hi-C数据和注释的Web服务.
- 实现了自定义注释轨道的灵活,按需重建.
- 引入了一个"克隆模式"用于同步可视化和多个样本的比较 (例如,正常与瘤,泛基因组).
- 能够精确搜索远端的 cis-regulatory 元素相关性,并在 Hi-C 热图中进行导航.
主要成果:
- HiBrowser提供灵活的多omics导航和动态交互.
- "克隆模式"可在多个样本和物种之间进行直观的比较.
- 支持对cis-regulatory元素的精确搜索和导航.
- 提供即时的网络服务,并且可以轻松在本地服务器上部署.
结论:
- HiBrowser是一个有效的,用户友好的工具,用于可视化和分析Hi-C数据和多omics信息.
- 促进对理解基因调节和疾病机制至关重要的比较分析.
- 该工具的功能增强了对复杂的基因组相互作用的直观探索.
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