ResFinder 4.0 for predictions of phenotypes from genotypes

Valeria Bortolaia, Rolf Sommer Kaas, Étienne Ruppé, Marilyn C. Roberts, Štefan Schwarz, Vincent Cattoir, A. Philippon, Rosa Lundbye Allesøe, Ana Rita Rebelo, Alfred Ferrer Florensa, Linda Fagelhauer, Trinad Chakraborty, Bernd Neumann, Guido Werner, Jennifer K. Bender, Kerstin Stingl, Minh Ngoc Nguyen, Jasmine Coppens, Basil Britto Xavier, Surbhi Malhotra‐Kumar, Henrik Westh, Mette Pinholt, Muna F. Anjum, Nicholas Duggett, Isabelle Kempf, Suvi Nykäsenoja, Satu Olkkola, Kinga Wieczorek, Ana Amaro, Lurdes Clemente, Joël Mossong, Serge Losch, Catherine Ragimbeau, Ole Lund, Frank M. Aarestrup

Journal of Antimicrobial Chemotherapy, 2020

Technical University of Denmark, Inserm, Université Paris Cité, University of Washington, Freie Universität Berlin, CNR de la Résistance aux Antibiotiques, Centre Hospitalier Universitaire de Rennes, Bacterial RNAs & Medicine, Université de Rennes, Délégation Paris 5, University of Copenhagen, Novo Nordisk Foundation, Justus-Liebig-Universität Gießen, German Center for Infection Research, Robert Koch Institute, Federal Institute for Risk Assessment, University of Antwerp, Hvidovre Hospital, Animal and Plant Health Agency, Agence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail, Finnish Food Authority, National Veterinary Research Institute, Instituto Nacional de Investigação Agrária e Veterinária, Laboratoire National de Santé

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Abstract

This research paper explore the methodology and findings associated with Journal of Antimicrobial Chemotherapy. The study delves into the core aspects of the research field, providing significant data and citation impact. (Full abstract processing is available via the OpenAlex API).

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ResFinder 4.0 for predictions of phenotypes from genotypes

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