📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

In silico design and automated learning to boost next-generation smart biomanufacturing. (2020)

First Author: Carbonell P

Attributed to: Future Biomanufacturing Research Hub funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1093/synbio/ysaa020

PubMed Identifier: 33344778

Publication URI: http://europepmc.org/abstract/MED/33344778

Type: Journal Article/Review

Volume: 5

Parent Publication: Synthetic biology (Oxford, England)

Issue: 1

ISSN: 2397-7000