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Article

Coalescence and translation: A language model for population genetics.

Proceedings of the National Academy of Sciences of the United States of America - 14 Apr 2026

Korfmann Kevin, Pope Nathaniel S, Meleghy Melinda, Tellier Aurélien, Kern Andrew D

Abstract excerpt

Probabilistic models such as the sequentially Markovian coalescent have long provided a powerful framework for population genetic inference, enabling reconstruction of demographic history and ancestral relationships from genomic data. However, these methods are inherently specialized, relying on predefined assumptions and/or limited scalability. Recent advances in simulation and deep learning provide an...

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PMID: 41961853
DOI: 10.1073/pnas.2518956123
PMCID: PMC13079918

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 10 Sept 2026.

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