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Automated extraction of typing information for bacterial pathogens from whole genome sequence data: Neisseria meningitidis as an exemplar
Whole genome sequence (WGS) data are becoming a major means of characterising samples of bacterial pathogens. These data have the advantage of providing detailed information on the genotypes and likely phenotypes of aetiological agents, enabling the relationships of samples from potential disease ou...
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| Główni autorzy: | , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
2013
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3977036/ https://ncbi.nlm.nih.gov/pubmed/23369391 |
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