Population-scale Ancestral Recombination Graphs with tskit 1.0
Ben Jeffery, Yan Wong, Kevin Thornton, Georgia Tsambos, Gertjan Bisschop, Yun Deng, E. Castedo Ellerman, Thomas B. Forest, Halley Fritze, Daniel Goldstein, Gregor Gorjanc, Graham Gower, Simon Gravel, Jeremy Guez, Benjamin C. Haller, Andrew D. Kern, Lloyd Kirk, Ivan Krukov

TL;DR
The paper introduces tskit 1.0, a stable and efficient library for representing and manipulating ancestral recombination graphs, crucial for population genetics research and reproducibility.
Contribution
It announces the release of tskit 1.0, emphasizing its stability guarantees and foundational role in population genetics analyses.
Findings
Provides a stable, expressive library for ARGs
Ensures reproducibility of genetic analyses
Supports long-term computational durability
Abstract
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.
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Taxonomy
TopicsGenetic Associations and Epidemiology · Genome Rearrangement Algorithms · Genetic Neurodegenerative Diseases
