Optimizing complex phenotypes through model-guided multiplex genome engineering

We present a method for identifying genomic modifications that optimize a complex phenotype through multiplex genome engineering and predictive modeling. We apply our method to identify six single nucleotide mutations that recover 59% of the fitness defect exhibited by the 63-codon E. coli strain C3...

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Detalles Bibliográficos
Autores principales: Kuznetsov, Gleb, Goodman, Daniel B., Filsinger, Gabriel T., Landon, Matthieu, Rohland, Nadin, Aach, John, Lajoie, Marc J., Church, George M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5445303/
https://www.ncbi.nlm.nih.gov/pubmed/28545477
http://dx.doi.org/10.1186/s13059-017-1217-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5445303/
https://www.ncbi.nlm.nih.gov/pubmed/28545477
http://dx.doi.org/10.1186/s13059-017-1217-z

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