Pilot Evaluation of a Fully Automated Bioinformatics System for Analysis of Methicillin-Resistant Staphylococcus aureus Genomes and Detection of Outbreaks-Reference-Cited by-同舟云学术

Pilot Evaluation of a Fully Automated Bioinformatics System for Analysis of Methicillin-Resistant Staphylococcus aureus Genomes and Detection of Outbreaks

Published:2019-11 Issue:11 Volume:57 Page:
ISSN:0095-1137
Container-title:Journal of Clinical Microbiology
language:en
Short-container-title:J Clin Microbiol

Author:

Brown Nicholas M.¹,Blane Beth²,Raven Kathy E.²,Kumar Narender²,Leek Danielle²,Bragin Eugene³,Rhodes Paul A.⁴,Enoch David A.¹,Thaxter Rachel¹,Parkhill Julian⁵^ORCID,Peacock Sharon J.¹²

Affiliation:

1. Clinical Microbiology and Public Health Laboratory, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom

2. Department of Medicine, University of Cambridge, Cambridge, United Kingdom

3. Next Gen Diagnostics, Hinxton, United Kingdom

4. Next Gen Diagnostics, Mountain View, California, USA

5. Wellcome Sanger Institute, Hinxton, United Kingdom

Abstract

Genomic surveillance that combines bacterial sequencing and epidemiological information will become the gold standard for outbreak detection, but its clinical translation is hampered by the lack of automated interpretation tools. We performed a prospective pilot study to evaluate the analysis of methicillin-resistant Staphylococcus aureus (MRSA) genomes using the Next Gen Diagnostics (NGD) automated bioinformatics system.

Funder

Health Innovation Challenge Fund

Wellcome Sanger Institute

Publisher

American Society for Microbiology

Subject

Microbiology (medical)

Link

https://journals.asm.org/doi/pdf/10.1128/JCM.00858-19

Reference16 articles.

1. Changing the paradigm for hospital outbreak detection by leading with genomic surveillance of nosocomial pathogens

2. Whole-genome sequencing for analysis of an outbreak of meticillin-resistant Staphylococcus aureus: a descriptive study