Your browser doesn't support javascript.
loading
High-throughput microbial culturomics using automation and machine learning.
Huang, Yiming; Sheth, Ravi U; Zhao, Shijie; Cohen, Lucas A; Dabaghi, Kendall; Moody, Thomas; Sun, Yiwei; Ricaurte, Deirdre; Richardson, Miles; Velez-Cortes, Florencia; Blazejewski, Tomasz; Kaufman, Andrew; Ronda, Carlotta; Wang, Harris H.
Afiliação
  • Huang Y; Department of Systems Biology, Columbia University, New York, NY, USA.
  • Sheth RU; Department of Systems Biology, Columbia University, New York, NY, USA.
  • Zhao S; Department of Systems Biology, Columbia University, New York, NY, USA.
  • Cohen LA; Department of Systems Biology, Columbia University, New York, NY, USA.
  • Dabaghi K; Department of Systems Biology, Columbia University, New York, NY, USA.
  • Moody T; Department of Systems Biology, Columbia University, New York, NY, USA.
  • Sun Y; Department of Biomedical Informatics, Columbia University, New York, NY, USA.
  • Ricaurte D; Department of Systems Biology, Columbia University, New York, NY, USA.
  • Richardson M; Department of Systems Biology, Columbia University, New York, NY, USA.
  • Velez-Cortes F; Department of Systems Biology, Columbia University, New York, NY, USA.
  • Blazejewski T; Department of Systems Biology, Columbia University, New York, NY, USA.
  • Kaufman A; Department of Systems Biology, Columbia University, New York, NY, USA.
  • Ronda C; Department of Systems Biology, Columbia University, New York, NY, USA.
  • Wang HH; Department of Systems Biology, Columbia University, New York, NY, USA. hw2429@columbia.edu.
Nat Biotechnol ; 41(10): 1424-1433, 2023 Oct.
Article em En | MEDLINE | ID: mdl-36805559
Assuntos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Genômica / Microbiota Limite: Humans Idioma: En Revista: Nat Biotechnol Assunto da revista: BIOTECNOLOGIA 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: Genômica / Microbiota Limite: Humans Idioma: En Revista: Nat Biotechnol Assunto da revista: BIOTECNOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos