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BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data.
Lachance, Jean-Christophe; Lloyd, Colton J; Monk, Jonathan M; Yang, Laurence; Sastry, Anand V; Seif, Yara; Palsson, Bernhard O; Rodrigue, Sébastien; Feist, Adam M; King, Zachary A; Jacques, Pierre-Étienne.
Afiliação
  • Lachance JC; Département de Biologie, Université de Sherbrooke, Sherbrooke, Québec, Canada.
  • Lloyd CJ; Department of Bioengineering, University of California, San Diego, La Jolla, CA, United States of America.
  • Monk JM; Department of Bioengineering, University of California, San Diego, La Jolla, CA, United States of America.
  • Yang L; Department of Bioengineering, University of California, San Diego, La Jolla, CA, United States of America.
  • Sastry AV; Department of Bioengineering, University of California, San Diego, La Jolla, CA, United States of America.
  • Seif Y; Department of Bioengineering, University of California, San Diego, La Jolla, CA, United States of America.
  • Palsson BO; Department of Bioengineering, University of California, San Diego, La Jolla, CA, United States of America.
  • Rodrigue S; Bioinformatics and Systems Biology Program, University of California, San Diego, La Jolla, CA, United States of America.
  • Feist AM; Department of Pediatrics, University of California, San Diego, La Jolla, CA, United States of America.
  • King ZA; Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet, Lyngby, Denmark.
  • Jacques PÉ; Département de Biologie, Université de Sherbrooke, Sherbrooke, Québec, Canada.
PLoS Comput Biol ; 15(4): e1006971, 2019 04.
Article em En | MEDLINE | ID: mdl-31009451
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Biomassa / Genômica / Redes e Vias Metabólicas / Modelos Biológicos Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Biomassa / Genômica / Redes e Vias Metabólicas / Modelos Biológicos Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article