<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>16(1)</volume><submitter>Mixao V</submitter><funding>Wellcome Trust</funding><pubmed_abstract>Different laboratories employ different Whole-Genome Sequencing (WGS) pipelines for Food and Waterborne disease (FWD) surveillance, casting doubt on the comparability of their results and hindering optimal communication at intersectoral and international levels. Through a collaborative effort involving eleven European institutes spanning the food, animal, and human health sectors, we aimed to assess the inter-pipeline clustering congruence across all resolution levels and perform an in-depth comparative analysis of cluster composition at outbreak level for four important foodborne pathogens: Listeria monocytogenes, Salmonella enterica, Escherichia coli, and Campylobacter jejuni. We found a general concordance between allele-based pipelines for all species, except for C. jejuni, where the d</pubmed_abstract><journal>Nature communications</journal><pagination>3961</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12038046</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Multi-country and intersectoral assessment of cluster congruence between pipelines for genomics surveillance of foodborne pathogens.</pubmed_title><pmcid>PMC12038046</pmcid><pubmed_authors>Borges V</pubmed_authors><pubmed_authors>Coipan CE</pubmed_authors><pubmed_authors>Radomski N</pubmed_authors><pubmed_authors>Majgaard Uldall AS</pubmed_authors><pubmed_authors>Deneke C</pubmed_authors><pubmed_authors>Simon S</pubmed_authors><pubmed_authors>Holtsmark Nielsen S</pubmed_authors><pubmed_authors>de Ruvo A</pubmed_authors><pubmed_authors>Dourado Santos J</pubmed_authors><pubmed_authors>Bucciacchio A</pubmed_authors><pubmed_authors>Petrovska L</pubmed_authors><pubmed_authors>Mixao V</pubmed_authors><pubmed_authors>Lagesen K</pubmed_authors><pubmed_authors>Grimstrup Joensen K</pubmed_authors><pubmed_authors>Sobral D</pubmed_authors><pubmed_authors>Linde J</pubmed_authors><pubmed_authors>Di Pasquale A</pubmed_authors><pubmed_authors>Iwan E</pubmed_authors><pubmed_authors>Castelli P</pubmed_authors><pubmed_authors>Bomba A</pubmed_authors><pubmed_authors>Pietsch M</pubmed_authors><pubmed_authors>Brendebach H</pubmed_authors><pubmed_authors>Kiil K</pubmed_authors><pubmed_authors>Gomes JP</pubmed_authors><pubmed_authors>Tausch SH</pubmed_authors><pubmed_authors>Kaas RS</pubmed_authors><pubmed_authors>Pinto M</pubmed_authors></additional><is_claimable>false</is_claimable><name>Multi-country and intersectoral assessment of cluster congruence between pipelines for genomics surveillance of foodborne pathogens.</name><description>Different laboratories employ different Whole-Genome Sequencing (WGS) pipelines for Food and Waterborne disease (FWD) surveillance, casting doubt on the comparability of their results and hindering optimal communication at intersectoral and international levels. Through a collaborative effort involving eleven European institutes spanning the food, animal, and human health sectors, we aimed to assess the inter-pipeline clustering congruence across all resolution levels and perform an in-depth comparative analysis of cluster composition at outbreak level for four important foodborne pathogens: Listeria monocytogenes, Salmonella enterica, Escherichia coli, and Campylobacter jejuni. We found a general concordance between allele-based pipelines for all species, except for C. jejuni, where the d</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Apr</publication><modification>2026-06-01T10:17:36.798Z</modification><creation>2025-07-10T03:09:11.15Z</creation></dates><accession>S-EPMC12038046</accession><cross_references><pubmed>40295532</pubmed><doi>10.1038/s41467-025-59246-8</doi></cross_references></HashMap>