deCYPher

WP 1’s main objective is to build the “Learn” module of DBTL cycles and to generate data pipelines tools to support the wet lab work using Machine Learning

WP 4 aims to demonstrate performance of microbial cell factories expressing CYPs in production environment laying the foundation for a sustainable and robust bio-based production process for flavonoids and terpenoids.

WP 3’s main objective is providing the ideal metabolic context to maximise the expression & functionality of the large array of CYPs from WP 2, yielding a set of optimal microbial cell factories for flavonoid/terpenoid production

WP 2 main’s objective is to overcome the challenge to efficiently identify, select and functionally express CYPs in microbial hosts

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