ResFinder 4.0 for predictions of phenotypes from genotypes

• Published in: Journal of antimicrobial chemotherapy Vol. 75; no. 12; pp. 3491 - 3500
• Main Authors: Bortolaia, Valeria, Kaas, Rolf S, Ruppe, Etienne, Roberts, Marilyn C, Schwarz, Stefan, Cattoir, Vincent, Philippon, Alain, Allesoe, Rosa L, Rebelo, Ana Rita, Florensa, Alfred Ferrer, Fagelhauer, Linda, Chakraborty, Trinad, Neumann, Bernd, Werner, Guido, Bender, Jennifer K, Stingl, Kerstin, Nguyen, Minh, Coppens, Jasmine, Xavier, Basil Britto, Malhotra-Kumar, Surbhi, Westh, Henrik, Pinholt, Mette, Anjum, Muna F, Duggett, Nicholas A, Kempf, Isabelle, Nykäsenoja, Suvi, Olkkola, Satu, Wieczorek, Kinga, Amaro, Ana, Clemente, Lurdes, Mossong, Joël, Losch, Serge, Ragimbeau, Catherine, Lund, Ole, Aarestrup, Frank M
• Format: Journal Article
• Language: English
• Published: England Oxford University Press 01.12.2020; Oxford University Press (OUP)
• Subjects: Life Sciences; Original Research
• ISSN: 0305-7453; 1460-2091; 1460-2091
• DOI: 10.1093/jac/dkaa345

Abstract Objectives WGS-based antimicrobial susceptibility testing (AST) is as reliable as phenotypic AST for several antimicrobial/bacterial species combinations. However, routine use of WGS-based AST is hindered by the need for bioinformatics skills and knowledge of antimicrobial resistance (AMR)...