A roadmap for the generation of benchmarking resources for antimicrobial resistance detection using next generation sequencing

• Main Authors: Petrillo, Mauro, Fabbri, Marco, Kagkli, Dafni Maria, Querci, Maddalena, Van den Eede, Guy, Alm, Erik, Aytan-Aktug, Derya, Capella-Gutierrez, Salvador, Carrillo, Catherine, Cestaro, Alessandro, Chan, Kok-Gan, Coque, Teresa, Endrullat, Christoph, Gut, Ivo, Hammer, Paul, Kay, Gemma L., Madec, Jean-Yves, Mather, Alison E., McHardy, Alice Carolyn, Naas, Thierry, Paracchini, Valentina, Peter, Silke, Pightling, Arthur, Raffael, Barbara, Rossen, John, Ruppé, Etienne, Schlaberg, Robert, Vanneste, Kevin, Weber, Lukas M., Westh, Henrik, Angers-Loustau, Alexandre
• Format: Article
• Published: F1000 Research Ltd 2022
• Subjects: Q Science (General)
• Online Access: http://eprints.um.edu.my/43564/
• Institution: Universiti Malaya

Next Generation Sequencing technologies significantly impact the field of Antimicrobial Resistance (AMR) detection and monitoring, with immediate uses in diagnosis and risk assessment. For this application and in general, considerable challenges remain in demonstrating sufficient trust to act upon t...