Biological Machine Learning Combined with Campylobacter Population Genomics Reveals Virulence Gene Allelic Variants Cause Disease

Highly dimensional data generated from bacterial whole-genome sequencing is providing an unprecedented scale of information that requires an appropriate statistical analysis framework to infer biological function from populations of genomes. The application of genome-wide association study (GWAS) me...

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Detalles Bibliográficos
Autores principales: Bandoy, DJ Darwin R., Weimer, Bart C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7232492/
https://www.ncbi.nlm.nih.gov/pubmed/32290186
http://dx.doi.org/10.3390/microorganisms8040549

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7232492/
https://www.ncbi.nlm.nih.gov/pubmed/32290186
http://dx.doi.org/10.3390/microorganisms8040549

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