An inter-laboratory study characterizes the impact of bioinformatic approaches on genome-based cluster detection for foodborne bacterial pathogens

Accurate assignment of whole-genome sequences to clusters in foodborne outbreak investigations remains challenging. Variability in bioinformatics tools and quality metrics significantly impacts clustering outcomes. This study assessed inter-laboratory variance in cluster identification by providing...

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Hauptverfasser:	Leonie F. Forth, Burkhard Malorny, Markus Bönn, Erik Brinks, Grégoire Denay, Carlus Deneke, Hosny El-Adawy, Jennie Fischer, Jannika Fuchs, Ekkehard Hiller, Nancy Bretschneider, Sylvia Kleta, Stefanie Lüth, Tilman Schultze, Henning Petersen, Michaela Projahn, Christian Schäfers, Kerstin Stingl, Andreas J. Stroehlein, Laura Uelze, Kathrin Szabo, Anne Wöhlke, Jörg Linde
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Frontiers Media S.A. 2025-11-01
Schriftenreihe:	Frontiers in Microbiology
Schlagworte:	inter-laboratory study whole-genome sequencing public health food safety bioinformatic tools cluster detection
Online-Zugang:	https://www.frontiersin.org/articles/10.3389/fmicb.2025.1629731/full
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