Francisco Campuzano Jiménez

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

IdentityByDescentDispersal.jl: Inferring dispersal rates with identity-by-descent blocks

The population density and per-generation dispersal rate of a population are central parameters in the study of evolution and ecology. The distribution of recent coalescent events between individuals in space can be used to estimate such quantities through the distribution of identity-by-descent (IBD) blocks. An IBD block is defined as a segment of DNA that has been inherited by a pair of individuals from a common ancestor without being broken by recombination. We introduce a Julia package for estimating effective population densities and dispersal rates from observed spatial patterns of IBD shared blocks. It implements the inference scheme proposed by Ringbauer, Coop, and Barton (2017). The package provides a user-friendly interface, supports efficient gradient-based optimization and accommodates arbitrary user-defined demographic models through numerical integration. This software aims to encourage a wider audience to utilize spatial genetic data for estimating dispersal rates, thereby motivating further research and expanding its applications.

q-bio.PE↗