Species Identification and Antibiotic Resistance Prediction by Analysis of Whole-Genome Sequence Data by Use of ARESdb: an Analysis of Isolates from the Unyvero Lower Respiratory Tract Infection Trial

Whole-genome sequencing (WGS) is now routinely performed in clinical microbiology laboratories to assess isolate relatedness. With appropriately developed analytics, the same data can be used for prediction of antimicrobial susceptibility. We assessed WGS data for identification using open-source to...

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Detalles Bibliográficos
Autores principales: Ferreira, Ines, Beisken, Stephan, Lueftinger, Lukas, Weinmaier, Thomas, Klein, Matthias, Bacher, Johannes, Patel, Robin, von Haeseler, Arndt, Posch, Andreas E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2020
Materias:
Epidemiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7315026/
https://www.ncbi.nlm.nih.gov/pubmed/32295890
http://dx.doi.org/10.1128/JCM.00273-20

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7315026/
https://www.ncbi.nlm.nih.gov/pubmed/32295890
http://dx.doi.org/10.1128/JCM.00273-20

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