Recommendations for improving statistical inference in population genomics

• Parul Johri,

  Affiliation School of Life Sciences, Arizona State University, Tempe, Arizona, United States of America

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• Charles F. Aquadro,

  Affiliation Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York, United States of America

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• Mark Beaumont,

  Affiliation School of Biological Sciences, University of Bristol, Bristol, United Kingdom

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• Brian Charlesworth,

  Affiliation Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, United Kingdom

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• Laurent Excoffier,

  Affiliation Institute of Ecology and Evolution, University of Berne, Berne, Switzerland

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• Adam Eyre-Walker,

  Affiliation School of Life Sciences, University of Sussex, Brighton, United Kingdom

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• Peter D. Keightley,

  Affiliation Institute of Ecology and Evolution, School of Biological Sciences, University of Edinburgh, Edinburgh, United Kingdom

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• Michael Lynch,

  Affiliation School of Life Sciences, Arizona State University, Tempe, Arizona, United States of America

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• Gil McVean,

  Affiliation Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom

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• Bret A. Payseur,

  Affiliation Laboratory of Genetics, University of Wisconsin-Madison, Madison, Wisconsin, United States of America

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• Susanne P. Pfeifer,

  Affiliation School of Life Sciences, Arizona State University, Tempe, Arizona, United States of America

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• Wolfgang Stephan,

  Affiliation Natural History Museum, Berlin, Germany

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• Jeffrey D. Jensen

  * E-mail: jeffrey.d.jensen@asu.edu

  Affiliation School of Life Sciences, Arizona State University, Tempe, Arizona, United States of America

  https://orcid.org/0000-0002-4786-8064

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