Escherichia coli Data-Driven Strain Design Using Aggregated Adaptive Laboratory Evolution Mutational Data

[Image: see text] 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 proce...

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Detalles Bibliográficos
Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8870144/
https://www.ncbi.nlm.nih.gov/pubmed/34762392
http://dx.doi.org/10.1021/acssynbio.1c00337

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8870144/
https://www.ncbi.nlm.nih.gov/pubmed/34762392
http://dx.doi.org/10.1021/acssynbio.1c00337

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