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Cryptic genetic variation in natural populations: a predictive framework.
Ledón-Rettig, Cris C; Pfennig, David W; Chunco, Amanda J; Dworkin, Ian.
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  • Ledón-Rettig CC; *Department of Biology, Indiana University, Bloomington, IN 47405, USA; Department of Biology, University of North Carolina, Chapel Hill, NC 27599, USA; Department of Environmental Studies, Elon University, Elon, NC 27244, USA; Program in Ecology, Evolutionary Biology and Behavior and Department of
  • Pfennig DW; *Department of Biology, Indiana University, Bloomington, IN 47405, USA; Department of Biology, University of North Carolina, Chapel Hill, NC 27599, USA; Department of Environmental Studies, Elon University, Elon, NC 27244, USA; Program in Ecology, Evolutionary Biology and Behavior and Department of
  • Chunco AJ; *Department of Biology, Indiana University, Bloomington, IN 47405, USA; Department of Biology, University of North Carolina, Chapel Hill, NC 27599, USA; Department of Environmental Studies, Elon University, Elon, NC 27244, USA; Program in Ecology, Evolutionary Biology and Behavior and Department of
  • Dworkin I; *Department of Biology, Indiana University, Bloomington, IN 47405, USA; Department of Biology, University of North Carolina, Chapel Hill, NC 27599, USA; Department of Environmental Studies, Elon University, Elon, NC 27244, USA; Program in Ecology, Evolutionary Biology and Behavior and Department of
Integr Comp Biol ; 54(5): 783-93, 2014 Nov.
Article en En | MEDLINE | ID: mdl-24944116
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Fenotipo / Variación Genética / Eucariontes / Modelos Genéticos Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Integr Comp Biol Año: 2014 Tipo del documento: Article
Texto completo
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PubMed Links
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Fenotipo / Variación Genética / Eucariontes / Modelos Genéticos Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Integr Comp Biol Año: 2014 Tipo del documento: Article