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Recommendations for improving statistical inference in population genomics.
Johri, Parul; Aquadro, Charles F; Beaumont, Mark; Charlesworth, Brian; Excoffier, Laurent; Eyre-Walker, Adam; Keightley, Peter D; Lynch, Michael; McVean, Gil; Payseur, Bret A; Pfeifer, Susanne P; Stephan, Wolfgang; Jensen, Jeffrey D.
Afiliação
  • Johri P; School of Life Sciences, Arizona State University, Tempe, Arizona, United States of America.
  • Aquadro CF; Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York, United States of America.
  • Beaumont M; School of Biological Sciences, University of Bristol, Bristol, United Kingdom.
  • Charlesworth B; Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, United Kingdom.
  • Excoffier L; Institute of Ecology and Evolution, University of Berne, Berne, Switzerland.
  • Eyre-Walker A; School of Life Sciences, University of Sussex, Brighton, United Kingdom.
  • Keightley PD; Institute of Ecology and Evolution, School of Biological Sciences, University of Edinburgh, Edinburgh, United Kingdom.
  • Lynch M; School of Life Sciences, Arizona State University, Tempe, Arizona, United States of America.
  • McVean G; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom.
  • Payseur BA; Laboratory of Genetics, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
  • Pfeifer SP; School of Life Sciences, Arizona State University, Tempe, Arizona, United States of America.
  • Stephan W; Natural History Museum, Berlin, Germany.
  • Jensen JD; School of Life Sciences, Arizona State University, Tempe, Arizona, United States of America.
PLoS Biol ; 20(5): e3001669, 2022 05.
Article em En | MEDLINE | ID: mdl-35639797
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Genômica / Metagenômica Tipo de estudo: Guideline Idioma: En Revista: PLoS Biol Assunto da revista: BIOLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Genômica / Metagenômica Tipo de estudo: Guideline Idioma: En Revista: PLoS Biol Assunto da revista: BIOLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos