Population-scale Ancestral Recombination Graphs with tskit 1.0
q-bio.PE
/ Authors
Ben Jeffery, Yan Wong, Kevin Thornton, Georgia Tsambos, Gertjan Bisschop, Yun Deng, E. Castedo Ellerman, Thomas B. Forest, Halley Fritze, Daniel Goldstein
and 42 more authors
Gregor Gorjanc, Graham Gower, Simon Gravel, Jeremy Guez, Benjamin C. Haller, Andrew D. Kern, Lloyd Kirk, Ivan Krukov, Hanbin Lee, Brieuc Lehmann, Hossameldin Loay, Matthew M. Osmond, Duncan S. Palmer, Nathaniel S. Pope, Aaron P. Ragsdale, Duncan Robertson, Murillo F. Rodrigues, Hugo van Kemenade, Clemens L. Weiß, Anthony Wilder Wohns, Shing H. Zhan, Brian C. Zhang,
/ 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.