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ResFinder 4.0 for predictions of phenotypes from genotypes

Journal of Antimicrobial Chemotherapy · 2020 · Vol. 75(12) · pp. 3491–3500
Valeria BortolaiaRolf Sommer KaasÉtienne RuppéMarilyn C. RobertsŠtefan SchwarzVincent CattoirA. PhilipponRosa Lundbye AllesøeAna Rita RebeloAlfred Ferrer FlorensaLinda FagelhauerTrinad ChakrabortyBernd NeumannGuido WernerJennifer K. BenderKerstin StinglMinh Ngoc NguyenJasmine CoppensBasil Britto XavierSurbhi Malhotra‐KumarHenrik WesthMette PinholtMuna F. AnjumNicholas DuggettIsabelle KempfSuvi NykäsenojaSatu OlkkolaKinga WieczorekAna AmaroLurdes ClementeJoël MossongSerge LoschCatherine RagimbeauOle LundFrank M. Aarestrup

Abstract

WGS-based AST using ResFinder 4.0 provides in silico antibiograms as reliable as those obtained by phenotypic AST at least for the bacterial species/antimicrobial agents of major public health relevance considered.

MeSH terms

AnimalsAnti-Bacterial AgentsGenotypeHumansMicrobial Sensitivity TestsPhenotypeDrug Resistance, Bacterial

Funding

  • Deutsches Zentrum für Infektionsforschung
  • Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology
  • European Commission
  • Bundesministerium für Bildung und Forschung
  • Novo Nordisk
  • Novo Nordisk Fonden
  • Państwowy Instytut Weterynaryjny - Państwowy Instytut Badawczy
  • Robert Koch Institut
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