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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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| Glavni autori: | , , , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
BioMed Central
2011
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| Teme: | |
| Online pristup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3155509/ https://ncbi.nlm.nih.gov/pubmed/21791094 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-12-302 |
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