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Computational Design of Auxotrophy-Dependent Microbial Biosensors for Combinatorial Metabolic Engineering Experiments
Combinatorial approaches in metabolic engineering work by generating genetic diversity in a microbial population followed by screening for strains with improved phenotypes. One of the most common goals in this field is the generation of a high rate chemical producing strain. A major hurdle with this...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Public Library of Science
2011
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| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3025009/ https://ncbi.nlm.nih.gov/pubmed/21283695 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0016274 |
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