Identifying essential genes in bacterial metabolic networks with machine learning methods

BACKGROUND: Identifying essential genes in bacteria supports to identify potential drug targets and an understanding of minimal requirements for a synthetic cell. However, experimentally assaying the essentiality of their coding genes is resource intensive and not feasible for all bacterial organism...

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Detalles Bibliográficos
Autores principales: Plaimas, Kitiporn, Eils, Roland, König, Rainer
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Methodology article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2874528/
https://www.ncbi.nlm.nih.gov/pubmed/20438628
http://dx.doi.org/10.1186/1752-0509-4-56

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2874528/
https://www.ncbi.nlm.nih.gov/pubmed/20438628
http://dx.doi.org/10.1186/1752-0509-4-56

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