Population-scale Ancestral Recombination Graphs with tskit 1.0
Populations and Evolution
2026-02-12 v2 Genomics
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.
Cite
@article{arxiv.2602.09649,
title = {Population-scale Ancestral Recombination Graphs with tskit 1.0},
author = {Ben Jeffery and Yan Wong and Kevin Thornton and Georgia Tsambos and Gertjan Bisschop and Yun Deng and E. Castedo Ellerman and Thomas B. Forest and Halley Fritze and Daniel Goldstein and Gregor Gorjanc and Graham Gower and Simon Gravel and Jeremy Guez and Benjamin C. Haller and Andrew D. Kern and Lloyd Kirk and Ivan Krukov and Hanbin Lee and Brieuc Lehmann and Hossameldin Loay and Matthew M. Osmond and Duncan S. Palmer and Nathaniel S. Pope and Aaron P. Ragsdale and Duncan Robertson and Murillo F. Rodrigues and Hugo van Kemenade and Clemens L. Weiß and Anthony Wilder Wohns and Shing H. Zhan and Brian C. Zhang and Marianne Aspbury and Nikolas A. Baya and Saurabh Belsare and Arjun Biddanda and Francisco Campuzano Jiménez and Ariella Gladstein and Bing Guo and Savita Karthikeyan and Warren W. Kretzschmar and Inés Rebollo and Kumar Saunack and Ruhollah Shemirani and Alexis Simon and Chris Smith and Jeet Sukumaran and Jonathan Terhorst and Per Unneberg and Ao Zhang and Peter Ralph and Jerome Kelleher},
journal= {arXiv preprint arXiv:2602.09649},
year = {2026}
}