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Exploring Approximate Bayesian Computation for inferring recent demographic history with genomic markers in non-model species

View ORCID ProfileJoane S. Elleouet, View ORCID ProfileSally N. Aitken
doi: https://doi.org/10.1101/252650
Joane S. Elleouet
Department of Forest and Conservation Sciences, Faculty of Forestry, University of British Columbia, 3041-2424 Main Mall, Vancouver BC V6T 1Z4, Canada
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Sally N. Aitken
Department of Forest and Conservation Sciences, Faculty of Forestry, University of British Columbia, 3041-2424 Main Mall, Vancouver BC V6T 1Z4, Canada
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Article Information

doi 
https://doi.org/10.1101/252650
History 
  • January 24, 2018.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.

Author Information

  1. Joane S. Elleouet and
  2. Sally N. Aitken
  1. Department of Forest and Conservation Sciences, Faculty of Forestry, University of British Columbia, 3041-2424 Main Mall, Vancouver BC V6T 1Z4, Canada
  1. Corresponding author:
    Joane S. Elleouet, 3041-2424 Main Mall, Vancouver BC V6T 1Z4, Canada, joane.elleouet{at}alumni.ubc.ca
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Posted January 24, 2018.
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Exploring Approximate Bayesian Computation for inferring recent demographic history with genomic markers in non-model species
Joane S. Elleouet, Sally N. Aitken
bioRxiv 252650; doi: https://doi.org/10.1101/252650
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Exploring Approximate Bayesian Computation for inferring recent demographic history with genomic markers in non-model species
Joane S. Elleouet, Sally N. Aitken
bioRxiv 252650; doi: https://doi.org/10.1101/252650

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