Interactive exploration of biobank-scale ancestral recombination graphs with Lorax

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ID: 319153
2026
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Abstract
MOTIVATION: Ancestral Recombination Graphs (ARGs) provide a comprehensive representation of genetic ancestry and underpin analyses of natural selection, disease association, and population history. However, existing visualization tools are limited in scalability and interactivity, making ARGs difficult to explore at biobank scale. RESULTS: We introduce Lorax, a GPU-accelerated, web-native platform for real-time visualization of population-scale ARGs. Lorax integrates genomic position, coalescent time, local genealogy, and metadata, enabling interactive exploration of ancestry and variant inheritance in biobank-scale datasets. AVAILABILITY: Lorax is freely available as a live demo at lorax.ucsc.edu and as a Python package 'lorax-arg' on PyPI. The source code and documentation are available on GitHub at https://github.com/pratikkatte/lorax. SUPPLEMENTARY DATA: Supplementary data is available at supplementary_material.docx.
Reference Key
openalex_W7166570239 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Pratik Katte, Russell Corbett-Detig
Journal BMC Bioinformatics
Year 2026
DOI
10.1093/bioinformatics/btag458
URL
https://doi.org/10.1093/bioinformatics/btag458
Keywords Keywords not found

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