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Predictive evolution of metabolic phenotypes using model-designed environments.
Jouhten, Paula; Konstantinidis, Dimitrios; Pereira, Filipa; Andrejev, Sergej; Grkovska, Kristina; Castillo, Sandra; Ghiachi, Payam; Beltran, Gemma; Almaas, Eivind; Mas, Albert; Warringer, Jonas; Gonzalez, Ramon; Morales, Pilar; Patil, Kiran R.
Afiliação
  • Jouhten P; European Molecular Biology Laboratory, Heidelberg, Germany.
  • Konstantinidis D; VTT Technical Research Centre of Finland Ltd, Espoo, Finland.
  • Pereira F; Department of Bioproducts and Biosystems, Aalto University, Espoo, Finland.
  • Andrejev S; European Molecular Biology Laboratory, Heidelberg, Germany.
  • Grkovska K; European Molecular Biology Laboratory, Heidelberg, Germany.
  • Castillo S; European Molecular Biology Laboratory, Heidelberg, Germany.
  • Ghiachi P; European Molecular Biology Laboratory, Heidelberg, Germany.
  • Beltran G; VTT Technical Research Centre of Finland Ltd, Espoo, Finland.
  • Almaas E; Department of Chemistry and Molecular Biology, University of Gothenburg, Gothenburg, Sweden.
  • Mas A; Departament Bioquímica i Biotecnologia, Facultat d'Enologia, Universitat Rovira i Virgili, Tarragona, Spain.
  • Warringer J; Department of Biotechnology and Food Science, NTNU - Norwegian University of Science and Technology, Trondheim, Norway.
  • Gonzalez R; Departament Bioquímica i Biotecnologia, Facultat d'Enologia, Universitat Rovira i Virgili, Tarragona, Spain.
  • Morales P; Department of Chemistry and Molecular Biology, University of Gothenburg, Gothenburg, Sweden.
  • Patil KR; Instituto de Ciencias de la Vid y delVino (CSIC, Gobierno de la Rioja, Universidad de La Rioja) Finca La Grajera, Logroño, Spain.
Mol Syst Biol ; 18(10): e10980, 2022 10.
Article em En | MEDLINE | ID: mdl-36201279

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Saccharomyces cerevisiae / Proteômica Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Mol Syst Biol Assunto da revista: BIOLOGIA MOLECULAR / BIOTECNOLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Saccharomyces cerevisiae / Proteômica Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Mol Syst Biol Assunto da revista: BIOLOGIA MOLECULAR / BIOTECNOLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Alemanha