Approximate Bayesian computational methods to estimate the strength of divergent selection in population genomics models-Reference-Cited by-同舟云学术

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Approximate Bayesian computational methods to estimate the strength of divergent selection in population genomics models

Published:2024-03 Issue: Volume:10 Page:100091
ISSN:2772-4158
Container-title:Journal of Computational Mathematics and Data Science
language:en
Short-container-title:Journal of Computational Mathematics and Data Science

Author:

Lukaszewicz Martyna^ORCID,Issaka Salia Ousseini,Hohenlohe Paul A.,Buzbas Erkan O.

Funder

NIH

National Science Foundation

Publisher

Elsevier BV

Reference63 articles.

1. What do we need to know about speciation?;Butlin;Trends Ecol Evol,2012

2. High-resolution mapping of meiotic crossovers and non-crossovers in yeast;Mancera;Nature,2008

3. Control of meiotic gene expression in saccharomyces cerevisiae;Mitchell;Microbiol Mol Biol Rev,1994

4. Approximate Bayesian computation in population genetics;Beaumont;Genetics,2002

5. Genetic hitchhiking;Barton;Philos Trans R Soc London Ser B: Biol Sci,2000

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