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...

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Detalles Bibliográficos
Autores principales: Cankorur-Cetinkaya, Ayca, Dias, Joao M. L., Kludas, Jana, Slater, Nigel K. H., Rousu, Juho, Oliver, Stephen G., Dikicioglu, Duygu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Microbiology Society 2017
Materias:
Biotechnology
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

Internet

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

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