Hierarchical Hidden Markov models enable accurate and diverse detection of antimicrobial resistance sequences

The characterization of antimicrobial resistance genes from high-throughput sequencing data has become foundational in public health research and regulation. This requires mapping sequence reads to databases of known antimicrobial resistance genes to determine the genes present in the sample. Mappin...

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Detalles Bibliográficos
Autores principales: Lakin, Steven M., Kuhnle, Alan, Alipanahi, Bahar, Noyes, Noelle R., Dean, Chris, Muggli, Martin, Raymond, Rob, Abdo, Zaid, Prosperi, Mattia, Belk, Keith E., Morley, Paul S., Boucher, Christina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6684577/
https://www.ncbi.nlm.nih.gov/pubmed/31396574
http://dx.doi.org/10.1038/s42003-019-0545-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6684577/
https://www.ncbi.nlm.nih.gov/pubmed/31396574
http://dx.doi.org/10.1038/s42003-019-0545-9

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