Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/31941
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dc.contributor.authorSherry, Norelle L-
dc.contributor.authorHoran, Kristy A-
dc.contributor.authorBallard, Susan A-
dc.contributor.authorGonҫalves da Silva, Anders-
dc.contributor.authorGorrie, Claire L-
dc.contributor.authorSchultz, Mark B-
dc.contributor.authorStevens, Kerrie-
dc.contributor.authorValcanis, Mary-
dc.contributor.authorSait, Michelle L-
dc.contributor.authorStinear, Timothy P-
dc.contributor.authorHowden, Benjamin P-
dc.contributor.authorSeemann, Torsten-
dc.date2023-
dc.date.accessioned2023-01-12T05:33:50Z-
dc.date.available2023-01-12T05:33:50Z-
dc.date.issued2023-01-04-
dc.identifier.citationNature Communications 2023; 14(1): 60en_US
dc.identifier.issn2041-1723-
dc.identifier.urihttps://ahro.austin.org.au/austinjspui/handle/1/31941-
dc.description.abstractRealising the promise of genomics to revolutionise identification and surveillance of antimicrobial resistance (AMR) has been a long-standing challenge in clinical and public health microbiology. Here, we report the creation and validation of abritAMR, an ISO-certified bioinformatics platform for genomics-based bacterial AMR gene detection. The abritAMR platform utilises NCBI's AMRFinderPlus, as well as additional features that classify AMR determinants into antibiotic classes and provide customised reports. We validate abritAMR by comparing with PCR or reference genomes, representing 1500 different bacteria and 415 resistance alleles. In these analyses, abritAMR displays 99.9% accuracy, 97.9% sensitivity and 100% specificity. We also compared genomic predictions of phenotype for 864 Salmonella spp. against agar dilution results, showing 98.9% accuracy. The implementation of abritAMR in our institution has resulted in streamlined bioinformatics and reporting pathways, and has been readily updated and re-verified. The abritAMR tool and validation datasets are publicly available to assist laboratories everywhere harness the power of AMR genomics in professional practice.en_US
dc.language.isoeng-
dc.titleAn ISO-certified genomics workflow for identification and surveillance of antimicrobial resistance.en_US
dc.typeJournal Articleen_US
dc.identifier.journaltitleNature Communicationsen_US
dc.identifier.affiliationMicrobiological Diagnostic Unit Public Health Laboratory (MDU-PHL), Department of Microbiology & Immunology, University of Melbourne at the Peter Doherty Institute for Infection & Immunity, Melbourne, Victoria, Australia.en_US
dc.identifier.affiliationInfectious Diseasesen_US
dc.identifier.affiliationDepartment of Microbiology & Immunology, University of Melbourne at the Peter Doherty Institute for Infection & Immunity, Melbourne, Australia.en_US
dc.identifier.affiliationDepartment of Microbiology & Immunology, University of Melbourne at the Peter Doherty Institute for Infection & Immunity, Melbourne, Australia.en_US
dc.identifier.doi10.1038/s41467-022-35713-4en_US
dc.type.contentTexten_US
dc.identifier.orcid0000-0002-7789-8360en_US
dc.identifier.orcid0000-0002-0096-9474en_US
dc.identifier.orcid0000-0002-2637-2529en_US
dc.identifier.orcid0000-0002-7689-6531en_US
dc.identifier.orcid0000-0003-0150-123Xen_US
dc.identifier.orcid0000-0003-0237-1473en_US
dc.identifier.orcid0000-0001-6046-610Xen_US
dc.identifier.pubmedid36599823-
dc.description.volume14-
dc.description.issue1-
dc.description.startpage60-
dc.subject.meshtermssecondaryAnti-Bacterial Agents/pharmacology-
dc.subject.meshtermssecondaryDrug Resistance, Bacterial/genetics-
local.name.researcherHowden, Benjamin P
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeJournal Article-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.languageiso639-1en-
crisitem.author.deptInfectious Diseases-
crisitem.author.deptInfectious Diseases-
crisitem.author.deptMicrobiology-
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