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Computing autocatalytic sets to unravel inconsistencies in metabolic network reconstructions.
Schmidt, Ralf; Waschina, Silvio; Boettger-Schmidt, Daniela; Kost, Christian; Kaleta, Christoph.
Afiliación
  • Schmidt R; Research Group Theoretical Systems Biology, Faculty of Biology and Pharmacy, Friedrich Schiller University Jena, 07743 Jena, Department of Bioorganic Chemistry, Experimental Ecology and Evolution Research Group, Max Planck Institute for Chemical Ecology, 07745 Jena, Department of Biomolecular Chemis
  • Waschina S; Research Group Theoretical Systems Biology, Faculty of Biology and Pharmacy, Friedrich Schiller University Jena, 07743 Jena, Department of Bioorganic Chemistry, Experimental Ecology and Evolution Research Group, Max Planck Institute for Chemical Ecology, 07745 Jena, Department of Biomolecular Chemis
  • Boettger-Schmidt D; Research Group Theoretical Systems Biology, Faculty of Biology and Pharmacy, Friedrich Schiller University Jena, 07743 Jena, Department of Bioorganic Chemistry, Experimental Ecology and Evolution Research Group, Max Planck Institute for Chemical Ecology, 07745 Jena, Department of Biomolecular Chemis
  • Kost C; Research Group Theoretical Systems Biology, Faculty of Biology and Pharmacy, Friedrich Schiller University Jena, 07743 Jena, Department of Bioorganic Chemistry, Experimental Ecology and Evolution Research Group, Max Planck Institute for Chemical Ecology, 07745 Jena, Department of Biomolecular Chemis
  • Kaleta C; Research Group Theoretical Systems Biology, Faculty of Biology and Pharmacy, Friedrich Schiller University Jena, 07743 Jena, Department of Bioorganic Chemistry, Experimental Ecology and Evolution Research Group, Max Planck Institute for Chemical Ecology, 07745 Jena, Department of Biomolecular Chemis
Bioinformatics ; 31(3): 373-81, 2015 Feb 01.
Article en En | MEDLINE | ID: mdl-25286919

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Proteínas Bacterianas / Programas Informáticos / Genoma Bacteriano / Biología Computacional / Redes y Vías Metabólicas Tipo de estudio: Prognostic_studies Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2015 Tipo del documento: Article Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Proteínas Bacterianas / Programas Informáticos / Genoma Bacteriano / Biología Computacional / Redes y Vías Metabólicas Tipo de estudio: Prognostic_studies Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2015 Tipo del documento: Article Pais de publicación: Reino Unido