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Editorial

Computational Methods Enabling Next-Generation Bioprocesses

1
(Bio)Process Engineering Group, IIM-CSIC (Spanish National Research Council), 36208 Vigo, Spain
2
School of Engineering, Institute for BioEngineering and SynthSys—Centre for Synthetic and Systems Biology, The University of Edinburgh, Scotland EH9 3FB, UK
*
Authors to whom correspondence should be addressed.
Processes 2019, 7(4), 214; https://doi.org/10.3390/pr7040214
Received: 10 April 2019 / Accepted: 10 April 2019 / Published: 12 April 2019
(This article belongs to the Special Issue Computational Synthetic Biology)
Note: In lieu of an abstract, this is an excerpt from the first page.

Synthetic biology—the engineering of cells to rewire the biomolecular networks inside them—has witnessed phenomenal progress [...] View Full-Text
MDPI and ACS Style

Banga, J.R.; Menolascina, F. Computational Methods Enabling Next-Generation Bioprocesses. Processes 2019, 7, 214. https://doi.org/10.3390/pr7040214

AMA Style

Banga JR, Menolascina F. Computational Methods Enabling Next-Generation Bioprocesses. Processes. 2019; 7(4):214. https://doi.org/10.3390/pr7040214

Chicago/Turabian Style

Banga, Julio R., and Filippo Menolascina. 2019. "Computational Methods Enabling Next-Generation Bioprocesses" Processes 7, no. 4: 214. https://doi.org/10.3390/pr7040214

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