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A Cyber-Physical Platform for Model Calibration.
Bandiera, Lucia; Gomez-Cabeza, David; Balsa-Canto, Eva; Menolascina, Filippo.
Afiliação
  • Bandiera L; School of Engineering, Institute for Bioengineering, The University of Edinburgh, Edinburgh, UK.
  • Gomez-Cabeza D; SynthSys - Centre for Synthetic and Systems Biology, The University of Edinburgh, Edinburgh, UK.
  • Balsa-Canto E; School of Engineering, Institute for Bioengineering, The University of Edinburgh, Edinburgh, UK.
  • Menolascina F; (Bio)Process Engineering Group, IIM-CSIC (Spanish National Research Council), Pontevedra, Spain.
Methods Mol Biol ; 2229: 241-265, 2021.
Article em En | MEDLINE | ID: mdl-33405226
ABSTRACT
Synthetic biology has so far made limited use of mathematical models, mostly because their inference has been traditionally perceived as expensive and/or difficult. We have recently demonstrated how in silico simulations and in vitro/vivo experiments can be integrated to develop a cyber-physical platform that automates model calibration and leads to saving 60-80% of the effort. In this book chapter, we illustrate the protocol used to attain such results. By providing a comprehensive list of steps and pointing the reader to the code we use to operate our platform, we aim at providing synthetic biologists with an additional tool to accelerate the pace at which the field progresses toward applications.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Técnicas Analíticas Microfluídicas Tipo de estudo: Prognostic_studies Idioma: En Revista: Methods Mol Biol Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Técnicas Analíticas Microfluídicas Tipo de estudo: Prognostic_studies Idioma: En Revista: Methods Mol Biol Ano de publicação: 2021 Tipo de documento: Article