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| Guillier, Laurent; Gourmelon, Michele; Lozach, Solen; Cadel-six, Sabrina; Vignaud, Marie-léone; Munck, Nanna; Hald, Tine; Palma, Federica. |
| The partitioning of pathogenic strains isolated in environmental or human cases to their sources is challenging. The pathogens usually colonize multiple animal hosts, including livestock, which contaminate the food-production chain and the environment (e.g. soil and water), posing an additional public-health burden and major challenges in the identification of the source. Genomic data opens up new opportunities for the development of statistical models aiming to indicate the likely source of pathogen contamination. Here, we propose a computationally fast and efficient multinomial logistic regression source-attribution classifier to predict the animal source of bacterial isolates based on ‘source-enriched’ loci extracted from the accessory-genome profiles... |
| Tipo: Text |
Palavras-chave: Environmental contamination; Multinomial logistic regression; Pangenome-wide enrichment analysis; Source attribution; Salmonella Typhimurium.. |
| Ano: 2020 |
URL: https://archimer.ifremer.fr/doc/00624/73632/73072.pdf |
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