Inferring Population Size History from Large Samples of Genome-Wide Molecular Data - An Approximate Bayesian Computation Approach.

Simon Boitard; Willy Rodriguez; Flora Jay; Stefano Mona; Frédéric Austerlitz

Inferring Population Size History from Large Samples of Genome-Wide Molecular Data - An Approximate Bayesian Computation Approach.

Simon Boitard ^{1, 2} Willy Rodriguez ³ Flora Jay ^{4, 5} Stefano Mona ² Frédéric Austerlitz ⁵

1 GenPhySE - Génétique Physiologie et Systèmes d'Elevage

2 ISYEB - Institut de Systématique, Evolution, Biodiversité UMR 7205

3 IMT - Institut de Mathématiques de Toulouse UMR5219

4 LRI - Laboratoire de Recherche en Informatique

5 EAE - Eco-Anthropologie et Ethnobiologie

Abstract : Inferring Population Size History from Large Samples of Genome-Wide Molecular Data - An Approximate Bayesian Computation Approach.. GDR AIEM

Keywords : dairy-cattle breed linkage disequilibrium snp data genetic data inference sequence model recombination coalescent bottleneck

Document type :

Conference papers

Domain :

Life Sciences [q-bio]

Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-01605807
Contributor : Archive Ouverte Prodinra <>
Submitted on : Monday, October 2, 2017 - 10:03:52 PM
Last modification on : Saturday, April 20, 2019 - 1:59:50 AM

Inferring Population Size History from Large Samples of Genome-Wide Molecular Data - An Approximate Bayesian Computation Approach.

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Inferring Population Size History from Large Samples of Genome-Wide Molecular Data - An Approximate Bayesian Computation Approach.

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