Cargando…
Large-Scale Evaluation of a Rapid Fully Automated Analysis Platform to Detect and Refute Outbreaks Based on MRSA Genome Comparisons
Genomic epidemiology of methicillin-resistant Staphylococcus aureus (MRSA) could transform outbreak investigations, but its clinical introduction is hampered by the lack of automated data analysis tools to rapidly and accurately define transmission based on sequence relatedness. We aimed to evaluate...
Autores principales: | Raven, Kathy E., Bragin, Eugene, Blane, Beth, Leek, Danielle, Kumar, Narender, Rhodes, Paul A., Enoch, David A., Thaxter, Rachel, Brown, Nicholas M., Parkhill, Julian, Peacock, Sharon J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Microbiology
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9769837/ https://www.ncbi.nlm.nih.gov/pubmed/36286527 http://dx.doi.org/10.1128/msphere.00283-22 |
Ejemplares similares
-
Pilot Evaluation of a Fully Automated Bioinformatics System for Analysis of Methicillin-Resistant Staphylococcus aureus Genomes and Detection of Outbreaks
por: Brown, Nicholas M., et al.
Publicado: (2019) -
Evaluation of a fully automated bioinformatics tool to predict antibiotic resistance from MRSA genomes
por: Kumar, Narender, et al.
Publicado: (2020) -
Defining metrics for whole-genome sequence analysis of MRSA in clinical practice
por: Raven, Kathy E., et al.
Publicado: (2020) -
Rapid sequencing of MRSA direct from clinical plates in a routine microbiology laboratory
por: Blane, Beth, et al.
Publicado: (2019) -
Definition of a genetic relatedness cutoff to exclude recent transmission of meticillin-resistant Staphylococcus aureus: a genomic epidemiology analysis
por: Coll, Francesc, et al.
Publicado: (2020)