Article

Estimating time-varying selection coefficients from time series data of allele frequencies

2020-11-18

Abstract excerpt

Time series data of allele frequencies are a powerful resource for detecting and classifying natural and artificial selection. Ancient DNA now allows us to observe these trajectories in natural populations of long-lived species such as humans. Here, we develop a hidden Markov model to infer selection coefficients that vary over time. We show through simulations that our approach can accurately estimate both select...

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Literature Corpus work: 0c6efac4-42c1-5a87-8379-6dcdb9a349c6
DOI: 10.1101/2020.11.17.387761

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