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eDNAssay: A machine learning tool that accurately predicts qPCR cross-amplification.
Kronenberger, John A; Wilcox, Taylor M; Mason, Daniel H; Franklin, Thomas W; McKelvey, Kevin S; Young, Michael K; Schwartz, Michael K.
Afiliação
  • Kronenberger JA; National Genomics Center for Wildlife and Fish Conservation, USFS Rocky Mountain Research Station, Missoula, Montana, USA.
  • Wilcox TM; National Genomics Center for Wildlife and Fish Conservation, USFS Rocky Mountain Research Station, Missoula, Montana, USA.
  • Mason DH; National Genomics Center for Wildlife and Fish Conservation, USFS Rocky Mountain Research Station, Missoula, Montana, USA.
  • Franklin TW; National Genomics Center for Wildlife and Fish Conservation, USFS Rocky Mountain Research Station, Missoula, Montana, USA.
  • McKelvey KS; National Genomics Center for Wildlife and Fish Conservation, USFS Rocky Mountain Research Station, Missoula, Montana, USA.
  • Young MK; National Genomics Center for Wildlife and Fish Conservation, USFS Rocky Mountain Research Station, Missoula, Montana, USA.
  • Schwartz MK; National Genomics Center for Wildlife and Fish Conservation, USFS Rocky Mountain Research Station, Missoula, Montana, USA.
Mol Ecol Resour ; 22(8): 2994-3005, 2022 Nov.
Article em En | MEDLINE | ID: mdl-35778862
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: DNA Ambiental Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Mol Ecol Resour Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: DNA Ambiental Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Mol Ecol Resour Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos