Estimating Temporally Variable Selection Intensity from Ancient DNA Data.

He, Zhangyi; Dai, Xiaoyang; Lyu, Wenyang; Beaumont, Mark; Yu, Feng

He, Zhangyi; Dai, Xiaoyang; Lyu, Wenyang; Beaumont, Mark; Yu, Feng.

Afiliação

He Z; Cancer Research UK Beatson Institute, Glasgow, United Kingdom.
Dai X; Department of Computer Science, University of Oxford, Oxford, United Kingdom.
Lyu W; The Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom.
Beaumont M; School of Mathematics, University of Bristol, Bristol, United Kingdom.
Yu F; School of Biological Sciences, University of Bristol, Bristol, United Kingdom.

Mol Biol Evol ; 40(3)2023 03 04.

Article em En | MEDLINE | ID: mdl-36661852

Assuntos

DNA Antigo; DNA; Animais; Cavalos/genética; Teorema de Bayes; Frequência do Gene; DNA/genética; Fatores de Tempo; Modelos Genéticos

Palavras-chave

ancient DNA; demographic history; natural selection; particle marginal Metropolis-Hastings; sampling uncertainty; two-layer hidden Markov model

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: DNA / DNA Antigo Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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