ARGscape: A modular, interactive tool for manipulation of spatiotemporal ancestral recombination graphs

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ID: 318878
2026
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Abstract
SUMMARY: Ancestral recombination graphs (ARGs) are increasingly central to modern population genetics, yet ARG-based methods for spatiotemporal demographic inference remain underutilized in empirical settings due to fragmented workflows and a lack of exploratory tools. ARGscape addresses this by providing a unified framework, seamlessly integrating established and novel tools for ARG simulation, manipulation, and spatiotemporal inference into both graphical and command-line interfaces. ARGscape features dynamic 2- and 3-dimensional visualizations and a novel "spatial diff" visualization for quantitative comparison of ARG-based geographic inference methods. By integrating these various functionalities, ARGscape facilitates novel data exploration and hypothesis generation, bridging the gap between methods development and empirical adoption, and enabling educational uses. AVAILABILITY AND IMPLEMENTATION: ARGscape is available as a Python package on PyPI and as a live website for educational and simple demonstrative purposes at https://www.argscape.com. The source code and documentation are available on GitHub at https://github.com/chris-a-talbot/argscape. SUPPLEMENTARY DATA: Supplementary data is available at Bioinformatics online.
Reference Key
openalex_W4415318342 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Chris J. Talbot, Gideon Bradburd
Journal BMC Bioinformatics
Year 2026
DOI
10.1093/bioinformatics/btag420
URL
https://doi.org/10.1093/bioinformatics/btag420
Keywords Keywords not found

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