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RedCom: A strategy for reduced metabolic modeling of complex microbial communities and its application for analyzing experimental datasets from anaerobic digestion.
Koch, Sabine; Kohrs, Fabian; Lahmann, Patrick; Bissinger, Thomas; Wendschuh, Stefan; Benndorf, Dirk; Reichl, Udo; Klamt, Steffen.
Afiliação
  • Koch S; Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany.
  • Kohrs F; Otto-von-Guericke University Magdeburg, Faculty for Process and Systems Engineering, Magdeburg, Germany.
  • Lahmann P; Otto-von-Guericke University Magdeburg, Faculty for Process and Systems Engineering, Magdeburg, Germany.
  • Bissinger T; Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany.
  • Wendschuh S; Otto-von-Guericke University Magdeburg, Faculty for Process and Systems Engineering, Magdeburg, Germany.
  • Benndorf D; Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany.
  • Reichl U; Otto-von-Guericke University Magdeburg, Faculty for Process and Systems Engineering, Magdeburg, Germany.
  • Klamt S; Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany.
PLoS Comput Biol ; 15(2): e1006759, 2019 02.
Article em En | MEDLINE | ID: mdl-30707687
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biologia Computacional / Redes e Vias Metabólicas / Microbiota Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article
Texto completo
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XML
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Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biologia Computacional / Redes e Vias Metabólicas / Microbiota Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article