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Hierarchical Bayesian model of population structure reveals convergent adaptation to high altitude in human populations
Matthieu Foll, Oscar E. Gaggiotti, Josephine T. Daub, Laurent Excoffier
doi: https://doi.org/10.1101/002816
Matthieu Foll
1CMPG, Institute of Ecology and Evolution, University of Berne, Berne, 3012, Switzerland
2Swiss Institute of Bioinformatics, Lausanne, 1015, Switzerland
3Current address: School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
Oscar E. Gaggiotti
4School of Biology, Scottish Oceans Institute, University of St Andrews, St Andrews, Fife, KY16 8LB, UK
Josephine T. Daub
1CMPG, Institute of Ecology and Evolution, University of Berne, Berne, 3012, Switzerland
2Swiss Institute of Bioinformatics, Lausanne, 1015, Switzerland
Laurent Excoffier
1CMPG, Institute of Ecology and Evolution, University of Berne, Berne, 3012, Switzerland
2Swiss Institute of Bioinformatics, Lausanne, 1015, Switzerland
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Posted February 19, 2014.
Hierarchical Bayesian model of population structure reveals convergent adaptation to high altitude in human populations
Matthieu Foll, Oscar E. Gaggiotti, Josephine T. Daub, Laurent Excoffier
bioRxiv 002816; doi: https://doi.org/10.1101/002816
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