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Predicting growth conditions from internal metabolic fluxes in an in-silico model of E. coli.
Sridhara, Viswanadham; Meyer, Austin G; Rai, Piyush; Barrick, Jeffrey E; Ravikumar, Pradeep; Segrè, Daniel; Wilke, Claus O.
Afiliação
  • Sridhara V; Center for Computational Biology and Bioinformatics, The University of Texas at Austin, Austin, Texas, United States of America.
  • Meyer AG; Center for Computational Biology and Bioinformatics, The University of Texas at Austin, Austin, Texas, United States of America; Institute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, Texas, United States of America.
  • Rai P; Department of Computer Science, The University of Texas at Austin, Austin, Texas, United States of America.
  • Barrick JE; Center for Computational Biology and Bioinformatics, The University of Texas at Austin, Austin, Texas, United States of America; Institute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, Texas, United States of America; Center for Systems and Synthetic Biology, The Uni
  • Ravikumar P; Department of Computer Science, The University of Texas at Austin, Austin, Texas, United States of America.
  • Segrè D; Department of Biology and Bioinformatics Program, Boston University, Boston, Massachusetts, United States of America.
  • Wilke CO; Center for Computational Biology and Bioinformatics, The University of Texas at Austin, Austin, Texas, United States of America; Institute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, Texas, United States of America; Center for Systems and Synthetic Biology, The Uni
PLoS One ; 9(12): e114608, 2014.
Article em En | MEDLINE | ID: mdl-25502413
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 3_ND Base de dados: MEDLINE Assunto principal: Simulação por Computador / Escherichia coli / Análise do Fluxo Metabólico / Modelos Biológicos Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: PLoS One Ano de publicação: 2014 Tipo de documento: Article
Texto completo
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Buscar no Google

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 3_ND Base de dados: MEDLINE Assunto principal: Simulação por Computador / Escherichia coli / Análise do Fluxo Metabólico / Modelos Biológicos Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: PLoS One Ano de publicação: 2014 Tipo de documento: Article