首页> Journal of clinical microbiology> An open-source nanopore-only sequencing workflow for analysis of clonal outbreaks delivers short-read level accuracy.

An open-source nanopore-only sequencing workflow for analysis of clonal outbreaks delivers short-read level accuracy.

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第一作者： Nick,Vereecke

第一单位： Bacterial Pathogenesis and Antimicrobial Resistance Section (BPARS), Laboratory of Clinical Immunology & Microbiology (LCIM), National Institute for Allergy and Infectious Disease (NIAID), National Institutes of Health (NIH), Bethesda, Maryland, USA.

作者： Nick,Vereecke ^[1] ; Thomas B,Yoon ^[1] ; Ting L,Luo ^[2] ; Brendan W,Corey ^[2] ; Francois,Lebreton ^[2] ; Patrick T,Mc Gann ^[2] ; John P,Dekker ^[1]

作者单位： Bacterial Pathogenesis and Antimicrobial Resistance Section (BPARS), Laboratory of Clinical Immunology & Microbiology (LCIM), National Institute for Allergy and Infectious Disease (NIAID), National Institutes of Health (NIH), Bethesda, Maryland, USA. ^[1] Multidrug-Resistant Organism Repository and Surveillance Network (MRSN), Diagnostics and Countermeasures Branch, Center for Infectious Disease Research (CIDR), Walter Reed Army Institute of Research (WRAIR), Silver Spring, Maryland, USA. ^[2]

关键词 bacteriology bioinformatics cgMLST clinical microbiology epidemiology error correction genome sequencing long-read nanopore sequencing minimum spanning tree open-source outbreak detection public health microbiology