Epilogos: information-theoretic navigation of multi-tissue functional genomic annotations.
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Abstract | 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 () alongside open-source software for community access and adoption. |
Year of Publication | 2025
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Journal | bioRxiv : the preprint server for biology
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Date Published | 06/2025
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ISSN | 2692-8205
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DOI | 10.1101/2025.06.18.660301
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PubMed ID | 40666867
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