Quon Jacob, Reynolds Alex, Tripician Nalu, Rynes Eric, Teodosiadis Athanasios, Kellis Manolis, Meuleman Wouter
Altius Institute for Biomedical Sciences, 2211 Elliott Avenue, Seattle, WA 98121, USA.
Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, 32 Vassar St, Cambridge, MA 02139, USA.
bioRxiv. 2025 Jun 23:2025.06.18.660301. doi: 10.1101/2025.06.18.660301.
Functional genomics data, such as chromatin state maps, provide critical insights into biological processes, but are hard to navigate and interpret. We present Epilogos to address this challenge by offering a simple information-theoretic framework for large-scale visualization, navigation and interpretation of functional genomics annotations, and apply it to over 2,000 genome-wide chromatin state maps in human and mouse. We construct intuitive visualizations of multi-tissue chromatin state maps, prioritize salient genomic regions, identify group-wise differential regions, and enable rapid similarity search given a region of interest. To facilitate usability, we provide a purpose-built web-based browser interface (http://epilogos.net) alongside open-source software for community access and adoption.
功能基因组学数据,如染色质状态图谱,能为生物过程提供关键见解,但难以浏览和解读。我们提出了Epilogos,通过提供一个用于功能基因组学注释的大规模可视化、导航和解读的简单信息理论框架来应对这一挑战,并将其应用于2000多个全基因组人类和小鼠染色质状态图谱。我们构建了多组织染色质状态图谱的直观可视化,对显著的基因组区域进行优先级排序,识别分组差异区域,并在给定感兴趣区域的情况下实现快速相似性搜索。为了便于使用,我们提供了一个专门构建的基于网络的浏览器界面(http://epilogos.net)以及开源软件,以供社区访问和采用。