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GAMBIT (Genomic Approximation Method for Bacterial Identification and Tracking): A methodology to rapidly leverage whole genome sequencing of bacterial isolates for clinical identification.
Lumpe, Jared; Gumbleton, Lynette; Gorzalski, Andrew; Libuit, Kevin; Varghese, Vici; Lloyd, Tyler; Tadros, Farid; Arsimendi, Tyler; Wagner, Eileen; Stephens, Craig; Sevinsky, Joel; Hess, David; Pandori, Mark.
Afiliação
  • Lumpe J; Independent Researcher, Meriden, Connecticut, United States of America.
  • Gumbleton L; Nevada State Public Health Laboratory, Reno, NV, United States of America.
  • Gorzalski A; Nevada State Public Health Laboratory, Reno, NV, United States of America.
  • Libuit K; Theiagen Consulting LLC, Highlands Ranch, CO, United States of America.
  • Varghese V; Alameda County Department of Public Health, Oakland, CA, United States of America.
  • Lloyd T; Alameda County Department of Public Health, Oakland, CA, United States of America.
  • Tadros F; Biology Department, Santa Clara University, Santa Clara, CA, United States of America.
  • Arsimendi T; Biology Department, Santa Clara University, Santa Clara, CA, United States of America.
  • Wagner E; Theiagen Consulting LLC, Highlands Ranch, CO, United States of America.
  • Stephens C; Biology Department, Santa Clara University, Santa Clara, CA, United States of America.
  • Sevinsky J; Theiagen Consulting LLC, Highlands Ranch, CO, United States of America.
  • Hess D; Nevada State Public Health Laboratory, Reno, NV, United States of America.
  • Pandori M; Biology Department, Santa Clara University, Santa Clara, CA, United States of America.
PLoS One ; 18(2): e0277575, 2023.
Article em En | MEDLINE | ID: mdl-36795668
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Bactérias / Genômica Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Bactérias / Genômica Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos