Yan Wong | Searcharxiv

arXiv2026

Population-scale Ancestral Recombination Graphs with tskit 1.0

Ancestral recombination graphs (ARGs) are an increasingly important component of population and statistical genetics. The tskit library has become key infrastructure for the field, providing an expressive and general representation of ARGs together with a suite of efficient fundamental operations. In this note, we announce tskit version 1.0, describe its underlying rationale, and document its stability guarantees. These guarantees provide a foundation for durable computational artefacts and support long-term reproducibility of code and analyses.

q-bio.PE↗

arXiv2025

tskit_arg_visualizer: interactive plotting of ancestral recombination graphs

Summary: Ancestral recombination graphs (ARGs) are a complete representation of the genetic relationships between recombining lineages and are of central importance in population genetics. Recent breakthroughs in simulation and inference methods have led to a surge of interest in ARGs. However, understanding how best to take advantage of the graphical structure of ARGs remains an open question for researchers. Here, we introduce tskit_arg_visualizer, a Python package for programmatically drawing ARGs using the interactive D3.js visualization library. We highlight the usefulness of this visualization tool for both teaching ARG concepts and exploring ARGs inferred from empirical datasets. Availability and implementation: The latest stable version of tskit_arg_visualizer is available through the Python Package Index (https://pypi.org/project/tskit-arg-visualizer, currently v0.1.0). Documentation and the development version of the package are found on GitHub (https://github.com/kitchensjn/tskit_arg_visualizer). Supplementary materials: Methods for creating the example ARGs seen in Figure 1 can be found in the supplementary materials.

q-bio.PE↗