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. 2020 Oct 17;5(1):ysaa020. doi: 10.1093/synbio/ysaa020

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© The Author(s) 2020. Published by Oxford University Press.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

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Figure 2. — Biofoundry model for rapid prototyping and smart biomanufacturing based on the automated Design, Build, Test and Learn (DBTL) cycle integrated with high-dimensional data and the principles of the circular economy. A suite of in silico machine learning-driven BioCAD tools for parts selection, build assembly and experimental test can leverage the agile circular process for downstream processing (DSP) and production of consumer products in order to achieve sustainable solutions that utilize renewable/waste feedstocks and replace the use of fossil fuels.