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Big Data in Conservation Genomics: Boosting Skills, Hedging Bets, and Staying Current in the Field.
Schweizer, Rena M; Saarman, Norah; Ramstad, Kristina M; Forester, Brenna R; Kelley, Joanna L; Hand, Brian K; Malison, Rachel L; Ackiss, Amanda S; Watsa, Mrinalini; Nelson, Thomas C; Beja-Pereira, Albano; Waples, Robin S; Funk, W Chris; Luikart, Gordon.
Afiliação
  • Schweizer RM; Division of Biological Sciences, University of Montana, Missoula, MT.
  • Saarman N; Department of Biology, Utah State University, Logan, UT.
  • Ramstad KM; Department of Biology and Geology, University of South Carolina Aiken, Aiken, SC.
  • Forester BR; Department of Biology, Colorado State University, Fort Collins, CO.
  • Kelley JL; School of Biological Sciences, Washington State University, Pullman, WA.
  • Hand BK; Division of Biological Sciences, University of Montana, Missoula, MT.
  • Malison RL; Flathead Lake Biological Station, University of Montana, Polson, MT.
  • Ackiss AS; Flathead Lake Biological Station, University of Montana, Polson, MT.
  • Watsa M; Wisconsin Cooperative Fishery Research Unit, University of Wisconsin Stevens Point, Stevens Point, WI.
  • Nelson TC; San Diego Zoo Global, Escondido, CA.
  • Beja-Pereira A; Embark Veterinary, Inc., Boston, MA.
  • Waples RS; Centro de Investigação em Biodiversidade e Recursos Genéticos (CIBIO-UP), InBIO, Universidade do Porto, Vairão, Portugal.
  • Funk WC; DGAOT, Faculty of Sciences, University of Porto, Porto, Portugal.
  • Luikart G; Sustainable Agrifood Production Research Centre (GreenUPorto), Faculty of Sciences, University of Porto, Porto, Portugal.
J Hered ; 112(4): 313-327, 2021 07 15.
Article em En | MEDLINE | ID: mdl-33860294
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Conservação dos Recursos Naturais / Big Data Tipo de estudo: Qualitative_research Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Conservação dos Recursos Naturais / Big Data Tipo de estudo: Qualitative_research Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article