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CamOptimus: a tool for exploiting complex adaptive evolution to optimize experiments and processes in biotechnology
Multiple interacting factors affect the performance of engineered biological systems in synthetic biology projects. The complexity of these biological systems means that experimental design should often be treated as a multiparametric optimization problem. However, the available methodologies are ei...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Microbiology Society
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5817226/ https://www.ncbi.nlm.nih.gov/pubmed/28635591 http://dx.doi.org/10.1099/mic.0.000477 |