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Riverscape community genomics: A comparative analytical approach to identify common drivers of spatial structure

View ORCID ProfileZachery D. Zbinden, Marlis R. Douglas, View ORCID ProfileTyler K. Chafin, View ORCID ProfileMichael E. Douglas
doi: https://doi.org/10.1101/2022.10.26.513848
Zachery D. Zbinden
1Department of Biological Sciences, University of Arkansas, Fayetteville, AR, USA
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  • For correspondence: zdzbinde@uark.edu
Marlis R. Douglas
1Department of Biological Sciences, University of Arkansas, Fayetteville, AR, USA
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Tyler K. Chafin
1Department of Biological Sciences, University of Arkansas, Fayetteville, AR, USA
2Biomathematics and Statistics Scotland, Edinburgh, Scotland, UK
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Michael E. Douglas
1Department of Biological Sciences, University of Arkansas, Fayetteville, AR, USA
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Article Information

doi 
https://doi.org/10.1101/2022.10.26.513848
History 
  • December 2, 2022.

Article Versions

  • Version 1 (October 27, 2022 - 11:26).
  • You are viewing Version 2, the most recent version of this article.
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-ND 4.0 International license.

Author Information

  1. Zachery D. Zbinden1,*,
  2. Marlis R. Douglas1,
  3. Tyler K. Chafin1,2 and
  4. Michael E. Douglas1
  1. 1Department of Biological Sciences, University of Arkansas, Fayetteville, AR, USA
  2. 2Biomathematics and Statistics Scotland, Edinburgh, Scotland, UK
  1. ↵*Corresponding Author: zdzbinde{at}uark.edu
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Posted December 02, 2022.
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Riverscape community genomics: A comparative analytical approach to identify common drivers of spatial structure
Zachery D. Zbinden, Marlis R. Douglas, Tyler K. Chafin, Michael E. Douglas
bioRxiv 2022.10.26.513848; doi: https://doi.org/10.1101/2022.10.26.513848
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Riverscape community genomics: A comparative analytical approach to identify common drivers of spatial structure
Zachery D. Zbinden, Marlis R. Douglas, Tyler K. Chafin, Michael E. Douglas
bioRxiv 2022.10.26.513848; doi: https://doi.org/10.1101/2022.10.26.513848

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