Article
Escherichia coli Data-Driven Strain Design Using Aggregated Adaptive Laboratory Evolution Mutational Data.
ACS synthetic biology - 17 Dec 2021
Phaneuf Patrick V, Zielinski Daniel C, Yurkovich James T, Johnsen Josefin, Szubin Richard, Yang Lei, Kim Se Hyeuk, Schulz Sebastian, Wu Muyao, Dalldorf Christopher, Ozdemir Emre, Lennen Rebecca M, Palsson Bernhard O, Feist Adam M
Abstract excerpt
Microbes are being engineered for an increasingly large and diverse set of applications. However, the designing of microbial genomes remains challenging due to the general complexity of biological systems. Adaptive Laboratory Evolution (ALE) leverages nature's problem-solving processes to generate optimized genotypes currently inaccessible to rational methods. The large amount of public ALE data now represents a...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.