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A genome-scale dynamic constraint-based modelling (gDCBM) framework predicts growth dynamics, medium composition and intracellular flux distributions in CHO clonal variations

Mohammadreza Yasemi and Mario Jolicoeur

Article (2023)

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Department: Department of Chemical Engineering
PolyPublie URL: https://publications.polymtl.ca/54802/
Journal Title: Metabolic Engineering (vol. 78)
Publisher: Elsevier
DOI: 10.1016/j.ymben.2023.06.005
Official URL: https://doi.org/10.1016/j.ymben.2023.06.005
Date Deposited: 29 Aug 2023 16:12
Last Modified: 09 Apr 2024 09:12
Cite in APA 7: Yasemi, M., & Jolicoeur, M. (2023). A genome-scale dynamic constraint-based modelling (gDCBM) framework predicts growth dynamics, medium composition and intracellular flux distributions in CHO clonal variations. Metabolic Engineering, 78, 209-222. https://doi.org/10.1016/j.ymben.2023.06.005

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