从2D到4D:一个容器化工作流程和浏览器来探索动态染色体架构
David H Rogers1, Cullen Roth2, Cameron Tauxe1,3
1Information Sciences, Los Alamos National Laboratory, Los Alamos, NM, US.
bioRxiv : the preprint server for biology
|August 12, 2025
概括
4D基因组浏览器工作流简化了从Hi-C数据的3D基因组结构重建,整合了用于动态色素分析的表观遗传信息. 这个工具使研究人员能够访问先进的4D表观遗传学.
科学领域:
- 基因组学就是基因组学.
- 计算生物学 计算生物学
- 分子生物学分子生物学
背景情况:
- 了解基因组的物理组织对于基因调节和表观遗传可访问性至关重要.
- Hi-C实验提供2D接触图,但缺乏用于3D基因组结构解释的分辨率.
- 整合3D基因组结构与功能和时间 (4D) 数据是理解基因组调节的关键.
研究的目的:
- 介绍4D基因组浏览器的工作流程 (4DGBWorkflow) 和4D基因组浏览器 (4DGB).
- 为转换,过和可视化4D表观遗传学和染色质数据集提供可访问的端到端工作流.
- 让非专业人士能够将3D建模原理应用于各种数据集.
主要方法:
- 使用4DHiC方法作为算法基础.
- 在标准笔记本电脑 (macOS,Linux,Windows) 上开发一个容器化,端到端的可执行工作流.
- 整合Hi-C数据与分子动力学模拟和物理约束,用于3D基因组重建.
主要成果:
- 4DGB工作流从Hi-C文件中生成3D染色体重建.
- 工作流程将重建与表观遗传和转录组轨迹数据集成在一起.
- 4D表观遗传学和染色体结构的比较可视化在单个工作流程中提供.
结论:
- 4DGB工作流和4D基因组浏览器是开源工具,用于对4D染色体数据集进行比较分析和可视化.
- 自动整合Hi-C数据与分子动力学简化了时间解析的3D基因组结构的构建.
- 这些工具使染色体结构和表观遗传学信号的分析随着时间的推移而民主化.
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