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Machine learning identifies signatures of host adaptation in the bacterial pathogen Salmonella enterica
Emerging pathogens are a major threat to public health, however understanding how pathogens adapt to new niches remains a challenge. New methods are urgently required to provide functional insights into pathogens from the massive genomic data sets now being generated from routine pathogen surveillan...
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| Publicado no: | PLoS Genet |
|---|---|
| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5940178/ https://ncbi.nlm.nih.gov/pubmed/29738521 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pgen.1007333 |
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