On the ability to extract MLVA profiles of Vibrio cholerae isolates from WGS data generated with Oxford Nanopore Technologies
For each isolate, the in silico MLVA profiles were concordant across all three sequencing methods, demonstrating that the MLVAType application can accurately predict the MLVA profiles from assembled genomes generated by long-reads ONT sequencers.
Authors
- Bertrand Bearzatto (ORCID: https://orcid.org/0000-0001-5193-6819)
- Léonid M. Irenge (ORCID: https://orcid.org/0000-0001-7924-7046)
- Jean‐François Durant (ORCID: https://orcid.org/0000-0002-1229-8882)
- Jean‐Luc Gala (ORCID: https://orcid.org/0000-0002-7749-573X)
- Jérôme Ambroise (ORCID: https://orcid.org/0000-0002-1218-6143)
Institutions
- UCLouvain (BE)
Publication Details
- Journal
- BMC Research Notes
- Published
- 2025-01-16
- DOI
- https://doi.org/10.1186/s13104-025-07093-7
- Primary Topic
- Vibrio bacteria research studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00