Proficiency Testing of Metagenomics-Based Detection of Food-Borne Pathogens Using a Complex Artificial Sequencing Dataset

Proficiency Testing of Metagenomics-Based Detection of Food-Borne Pathogens Using a Complex Artificial Sequencing Dataset

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...

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Bibliographic Details
Main Authors: Dirk Höper, Josephine Grützke, Annika Brinkmann, Joël Mossong, Sébastien Matamoros, Richard J. Ellis, Carlus Deneke, Simon H. Tausch, Isabel Cuesta, Sara Monzón, Miguel Juliá, Thomas Nordahl Petersen, Rene S. Hendriksen, Sünje J. Pamp, Mikael Leijon, Mikhayil Hakhverdyan, Aaron M. Walsh, Paul D. Cotter, Lakshmi Chandrasekaran, Moon Y. F. Tay, Joergen Schlundt, Claudia Sala, Alessandra De Cesare, Andreas Nitsche, Martin Beer, Claudia Wylezich
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-11-01
Series:Frontiers in Microbiology
Subjects:
background contamination
diagnostic assessment
high-throughput sequencing
metagenomics
pathogen
proficiency test
Online Access:https://www.frontiersin.org/articles/10.3389/fmicb.2020.575377/full

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https://www.frontiersin.org/articles/10.3389/fmicb.2020.575377/full

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