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Insights from a general, full-likelihood Bayesian approach to inferring shared evolutionary events from genomic data: Inferring shared demographic events is challenging
View ORCID ProfileJamie R. Oaks, Nadia L’Bahy, View ORCID ProfileKerry A. Cobb
doi: https://doi.org/10.1101/679878
Jamie R. Oaks
1Department of Biological Sciences & Museum of Natural History, Auburn University, Auburn, Alabama 36849
Nadia L’Bahy
1Department of Biological Sciences & Museum of Natural History, Auburn University, Auburn, Alabama 36849
2Department of Biology, University of Massachusetts, Amherst, Massachusetts 01003
Kerry A. Cobb
1Department of Biological Sciences & Museum of Natural History, Auburn University, Auburn, Alabama 36849
Posted July 04, 2019.
Insights from a general, full-likelihood Bayesian approach to inferring shared evolutionary events from genomic data: Inferring shared demographic events is challenging
Jamie R. Oaks, Nadia L’Bahy, Kerry A. Cobb
bioRxiv 679878; doi: https://doi.org/10.1101/679878
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