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Sampling strategy optimization to increase statistical power in landscape genomics: A simulation-based approach.
Selmoni, Oliver; Vajana, Elia; Guillaume, Annie; Rochat, Estelle; Joost, Stéphane.
Afiliação
  • Selmoni O; Laboratory of Geographic Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
  • Vajana E; Laboratory of Geographic Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
  • Guillaume A; Laboratory of Geographic Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
  • Rochat E; Laboratory of Geographic Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
  • Joost S; Laboratory of Geographic Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Mol Ecol Resour ; 20(1): 154-169, 2020 Jan.
Article em En | MEDLINE | ID: mdl-31550072
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Plantas / Genômica / Peixes / Insetos / Mamíferos Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Plantas / Genômica / Peixes / Insetos / Mamíferos Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Ano de publicação: 2020 Tipo de documento: Article