Proficiency testing of metagenomics-based detection of food-borne pathogens using a complex artificial sequencing dataset

• Main Authors: Höper, Dirk, Grützke, Josephine, Brinkmann, Annika, Mossong, Joël, Matamoros, Sébastien, Ellis, Richard J., Deneke, Carlus, Tausch, Simon H., Cuesta, Isabel, Monzón, Sara, Juliá, Miguel, Petersen, Thomas Nordahl, Hendriksen, Rene S., Pamp, Sünje J., Leijon, Mikael, Hakhverdyan, Mikhayil, Walsh, Aaron M., Cotter, Paul D., Chandrasekaran, Lakshmi, Tay, Moon Yue Feng, Schlundt, Joergen, Sala, Claudia, De Cesare, Alessandra, Nitsche, Andreas, Beer, Martin, Wylezich, Claudia
• Other Authors: School of Chemical and Biomedical Engineering
• Format: Article
• Language: English
• Published: 2021
• Subjects: Engineering::Bioengineering; Background Contamination; Diagnostic Assessment
• Online Access: https://hdl.handle.net/10356/147603
• Institution: Nanyang Technological University

Metagenomics-based high-throughput sequencing (HTS) enables comprehensive detection of all species comprised in a sample with a single assay and is becoming a standard method for outbreak investigation. However, unlike real-time PCR or serological assays, HTS datasets generated for pathogen detectio...