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Inferring population size history from large samples of genome wide molecular data - an approximate Bayesian computation approach
Simon Boitard, Willy Rodríguez, Flora Jay, Stefano Mona, Frédéric Austerlitz
doi: https://doi.org/10.1101/036178
Simon Boitard
1UMR 7205 Institut de Systématique, Evolution et Biodiversité, Ecole Pratique des Hautes Etudes & Muséum National d’Histoire Naturelle & CNRS & Université Pierre et Marie Curie, Paris, France
2GABI, INRA, AgroParisTech, Université Paris-Saclay, Jouy-en-Josas, France
Willy Rodríguez
3UMR 5219, Institut de Mathématiques de Toulouse, Université de Toulouse & CNRS, France
Flora Jay
4UMR 7206 Eco-anthropologie et Ethnobiologie, Muséum National d’Histoire Naturelle & CNRS & Université Paris Diderot, Paris, France.
Stefano Mona
1UMR 7205 Institut de Systématique, Evolution et Biodiversité, Ecole Pratique des Hautes Etudes & Muséum National d’Histoire Naturelle & CNRS & Université Pierre et Marie Curie, Paris, France
Frédéric Austerlitz
4UMR 7206 Eco-anthropologie et Ethnobiologie, Muséum National d’Histoire Naturelle & CNRS & Université Paris Diderot, Paris, France.
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Posted January 07, 2016.
Inferring population size history from large samples of genome wide molecular data - an approximate Bayesian computation approach
Simon Boitard, Willy Rodríguez, Flora Jay, Stefano Mona, Frédéric Austerlitz
bioRxiv 036178; doi: https://doi.org/10.1101/036178
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