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Conference papers

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

Simon Boitard 1, 2 Willy Rodríguez 3 Flora Jay 4, 5 Stefano Mona 2 Frederic Austerlitz 5
1 GenPhySE - Génétique Physiologie et Systèmes d'Elevage
2 ISYEB - Institut de Systématique, Evolution, Biodiversité
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.. conférence Jaques Monod "Coalescence des approches théoriques et expérimentales en génomique évolutive et biologie des systèmes"
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https://hal.archives-ouvertes.fr/hal-01604024
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Submitted on : Friday, June 5, 2020 - 3:53:14 PM
Last modification on : Tuesday, April 5, 2022 - 3:43:14 AM

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  • HAL Id : hal-01604024, version 1
  • PRODINRA : 386097

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INRAE | MNHN | UMR8623 | UT1-CAPITOLE | INSA-GROUPE | CENTRALESUPELEC | LRI-BIOINFO | USPC | IMT | ECO-AE | INRA | UNIV-PARIS7 | UPMC | EPHE | UNIV-TLSE2 | UNIV-TLSE3 | CNRS | INSA-TOULOUSE | UP-SCIENCES | SORBONNE-UNIVERSITE | UNIV-PARIS-SACLAY | UNIV-PARIS | PSL | SU-TI | ISYEB | SU-SCIENCES | GENPHYSE | GS-COMPUTER-SCIENCE | GENETIQUE_ANIMALE

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Simon Boitard, Willy Rodríguez, Flora Jay, Stefano Mona, Frederic Austerlitz. Inferring Population Size History from Large Samples of Genome-Wide Molecular Data - An Approximate Bayesian Computation Approach.. conférence Jaques Monod "Coalescence des approches théoriques et expérimentales en génomique évolutive et biologie des systèmes", 2016, Roscoff, France. ⟨hal-01604024⟩

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