Validating the AMRFinder Tool and Resistance Gene Database by Using Antimicrobial Resistance Genotype-Phenotype Correlations in a Collection of Isolates-Reference-Cited by-同舟云学术

Validating the AMRFinder Tool and Resistance Gene Database by Using Antimicrobial Resistance Genotype-Phenotype Correlations in a Collection of Isolates

Published:2019-11 Issue:11 Volume:63 Page:
ISSN:0066-4804
Container-title:Antimicrobial Agents and Chemotherapy
language:en
Short-container-title:Antimicrob Agents Chemother

Author:

Feldgarden Michael¹,Brover Vyacheslav¹,Haft Daniel H.¹,Prasad Arjun B.¹,Slotta Douglas J.¹,Tolstoy Igor¹,Tyson Gregory H.²,Zhao Shaohua²,Hsu Chih-Hao²,McDermott Patrick F.²,Tadesse Daniel A.²,Morales Cesar³,Simmons Mustafa³,Tillman Glenn³,Wasilenko Jamie³,Folster Jason P.⁴,Klimke William¹

Affiliation:

1. National Center for Biological Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA

2. Food and Drug Administration, Center for Veterinary Medicine, Office of Research, Laurel, Maryland, USA

3. USDA Food Safety and Inspection Service, Office of Public Health Science, Eastern Laboratory, Athens, Georgia, USA

4. Enteric Diseases Laboratory Branch, Centers for Disease Control and Prevention, Atlanta, Georgia, USA

Abstract

Antimicrobial resistance (AMR) is a major public health problem that requires publicly available tools for rapid analysis. To identify AMR genes in whole-genome sequences, the National Center for Biotechnology Information (NCBI) has produced AMRFinder, a tool that identifies AMR genes using a high-quality curated AMR gene reference database.

Funder

HHS | NIH | U.S. National Library of Medicine

Publisher

American Society for Microbiology

Subject

Infectious Diseases,Pharmacology (medical),Pharmacology

Link

https://journals.asm.org/doi/pdf/10.1128/AAC.00483-19

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