Application of combinatorial optimization strategies in synthetic biology

Gita Naseri; Mattheos A. G. Koffas

doi:10.1038/s41467-020-16175-y

Nature Communications (May 2020)

Application of combinatorial optimization strategies in synthetic biology

Gita Naseri,
Mattheos A. G. Koffas

Affiliations

Gita Naseri: Institut für Chemie, Humboldt Universität zu Berlin
Mattheos A. G. Koffas: Center for Biotechnology, Rensselaer Polytechnic Institute

DOI: https://doi.org/10.1038/s41467-020-16175-y
Journal volume & issue: Vol. 11, no. 1
pp. 1 – 14

Abstract

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Our efforts to build complex synthetic biology circuits are impeded by limited knowledge of optimal combinations. In this review, the authors consider current combinatorial methods and look to emerging technologies.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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