Unraveling the impact of genome assembly on bacterial typing: a one health perspective
This highlights that the intrinsic genome composition affects assembly and resulting cgMLST profiles, and that variability in bioinformatics tools can induce a bias in cgMLST profiles. In conclusion, we propose that the completeness of cgMLST schemes should be considered when clustering strains.
Authors
- Marina Cavaiuolo (ORCID: https://orcid.org/0000-0002-8580-6462)
- Amandine Cunty (ORCID: https://orcid.org/0000-0001-8174-587X)
- Claire Yvon
- Anne-Laure Boutigny (ORCID: https://orcid.org/0000-0001-8999-2314)
- Virginie Chesnais (ORCID: https://orcid.org/0000-0002-6730-9761)
- Thomas Brauge (ORCID: https://orcid.org/0000-0002-7649-3919)
- Noémie Vingadassalon (ORCID: https://orcid.org/0000-0002-0631-4612)
- Déborah Merda (ORCID: https://orcid.org/0000-0003-1811-1959)
- Mathilde Bonis (ORCID: https://orcid.org/0000-0003-4659-2788)
- Maroua Sayeb
- Antoine Régnier
- Meryl Vila-Nova
Institutions
- Agence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail (FR)
Publication Details
- Journal
- BMC Genomics
- Published
- 2024-11-08
- DOI
- https://doi.org/10.1186/s12864-024-10982-z
- Citations
- 3
- Primary Topic
- Escherichia coli research studies
- Type
- article
- Field-Weighted Citation Impact
- 1.85