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:	27 Sep 2024 16:13

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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