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Machine learning-assisted identification of bioindicators predicts medium-chain carboxylate production performance of an anaerobic mixed culture.
Liu, Bin; Sträuber, Heike; Saraiva, João; Harms, Hauke; Silva, Sandra Godinho; Kasmanas, Jonas Coelho; Kleinsteuber, Sabine; Nunes da Rocha, Ulisses.
Afiliación
  • Liu B; Department of Environmental Microbiology, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany.
  • Sträuber H; Department of Environmental Microbiology, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany.
  • Saraiva J; Department of Environmental Microbiology, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany.
  • Harms H; Department of Environmental Microbiology, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany.
  • Silva SG; Institute for Bioengineering and Biosciences, Department of Bioengineering, Instituto Superior Técnico Universidade de Lisboa, Lisbon, Portugal.
  • Kasmanas JC; Department of Environmental Microbiology, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany.
  • Kleinsteuber S; Institute of Mathematics and Computer Sciences, University of São Paulo, São Carlos, Brazil.
  • Nunes da Rocha U; Department of Computer Science and Interdisciplinary Center of Bioinformatics, University of Leipzig, Leipzig, Germany.
Microbiome ; 10(1): 48, 2022 03 25.
Article en En | MEDLINE | ID: mdl-35331330
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Caproatos / Microbiota Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Microbiome Año: 2022 Tipo del documento: Article País de afiliación: Alemania
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Caproatos / Microbiota Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Microbiome Año: 2022 Tipo del documento: Article País de afiliación: Alemania