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The emergence of\n                    <jats:italic>Candidozyma (Candida) auris<\/jats:italic>\n                    and other resistant fungal pathogens presents a risk to critically ill patients. Whole-genome sequencing has the potential to improve public health and clinical surveillance for fAMR and could enable more rapid detection. In this review, we discuss the mechanisms of fAMR and the strengths and limitations of the currently available databases and bioinformatic tools for the detection of fAMR from genomic data. We identify current gaps, preferred characteristics of genomic fAMR databases and tools and future directions for development to enable validated fAMR prediction in the public health context.\n                  <\/jats:p>","DOI":"10.1099\/mgen.0.001710","type":"journal-article","created":{"date-parts":[[2026,5,20]],"date-time":"2026-05-20T15:16:31Z","timestamp":1779290191000},"source":"Crossref","is-referenced-by-count":1,"title":["Towards accurate genomic detection of fungal antimicrobial resistance: progress in fungal resistance databases and bioinformatic tools"],"prefix":"10.1099","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8409-9591","authenticated-orcid":false,"given":"Andrew P","family":"Gador-Whyte","sequence":"first","affiliation":[{"name":"Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology & Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, 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