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

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

doi:10.1128/aac.00483-19

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.

Keywords

GenotypePhenotypeBiologyGeneticsGeneAntibiotic resistanceAntimicrobialDatabaseMicrobiologyBacteriaComputer science

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Publication Info

Year: 2019
Type: article
Volume: 63
Issue: 11
Citations: 1282
Access: Closed

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APA Style

                            
                                
                                    Michael Feldgarden, 
                                
                                    Vyacheslav Brover, 
                                
                                    Daniel H. Haft
                                
                                et al.
                            
                            (2019). 
                            Validating the AMRFinder Tool and Resistance Gene Database by Using Antimicrobial Resistance Genotype-Phenotype Correlations in a Collection of Isolates. 
                            Antimicrobial Agents and Chemotherapy
                            , 63
                            (11)
                            .
                            https://doi.org/10.1128/aac.00483-19
                        

Identifiers

DOI: 10.1128/aac.00483-19