Open AccessValidating the AMRFinder Tool and Resistance Gene Database by Using Antimicrobial Resistance Genotype-Phenotype Correlations in a Collection of Isolates
Author(s) -
Michael Feldgarden,
Vyacheslav Brover,
Daniel H. Haft,
Arjun Prasad,
Douglas J. Slotta,
Igor Tolstoy,
Gregory H. Tyson,
Shaohua Zhao,
Chih-Hao Hsu,
Patrick F. McDermott,
Daniel A. Tadesse,
Cesar A. Morales,
Mustafa Simmons,
Glenn E. Tillman,
Jamie Wasilenko,
Jason P. Folster,
William Klimke
Publication year - 2019
Publication title -
antimicrobial agents and chemotherapy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.07
H-Index - 259
eISSN - 1070-6283
pISSN - 0066-4804
DOI - 10.1128/aac.00483-19
Subject(s) - genotype , phenotype , biology , genetics , gene , antibiotic resistance , antimicrobial , database , microbiology and biotechnology , bacteria , computer science
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.
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