Bayesian semi-supervised classification of bacterial samples using MLST databases

BACKGROUND: Worldwide effort on sampling and characterization of molecular variation within a large number of human and animal pathogens has lead to the emergence of multi-locus sequence typing (MLST) databases as an important tool for studying the epidemiology and evolution of pathogens. Many of th...

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Detalles Bibliográficos
Autores principales: Cheng, Lu, Connor, Thomas R, Aanensen, David M, Spratt, Brian G, Corander, Jukka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3155509/
https://www.ncbi.nlm.nih.gov/pubmed/21791094
http://dx.doi.org/10.1186/1471-2105-12-302

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3155509/
https://www.ncbi.nlm.nih.gov/pubmed/21791094
http://dx.doi.org/10.1186/1471-2105-12-302

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