Natural computation meta-heuristics for the in silico optimization of microbial strains

Background: One of the greatest challenges in Metabolic Engineering is to develop quantitative models and algorithms to identify a set of genetic manipulations that will result in a microbial strain with a desirable metabolic phenotype which typically means having a high yield/productivity. This cha...

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Detalhes bibliográficos
Autor principal: Rocha, Miguel (author)
Outros Autores: Maia, Paulo (author), Mendes, Rui (author), Pinto, José P. (author), Ferreira, Eugénio C. (author), Nielsen, Jens (author), Patil, Kiran Raosaheb (author), Rocha, I. (author)
Formato: article
Idioma:eng
Publicado em: 2008
Assuntos:
Texto completo:https://hdl.handle.net/1822/8742
País:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/8742