Computational tools for strain optimization by tuning the optimal level of gene expression
In this work, a plug-in for the OptFlux Metabolic Engineering platform is presented, implementing methods that allow the identification of sets of genes to over/under express, relatively to their wild type levels. The optimization methods used are Simulated Annealing and Evolutionary Algorithms, wor...
| Autor principal: | |
|---|---|
| Outros Autores: | , |
| Formato: | conferencePaper |
| Idioma: | eng |
| Publicado em: |
2012
|
| Assuntos: | |
| Texto completo: | http://hdl.handle.net/1822/23378 |
| País: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/23378 |