taxMyPhage: Automated Taxonomy of dsDNA Phage Genomes at the Genus and Species Level
<i>taxMyPhage</i> significantly enhances the speed and accuracy of bacteriophage genome classification at the genus and species levels, making it compatible with current sequencing outputs. The tool facilitates the integration of bacteriophage classification into standard workflows, thereby accelerating research and ensuring consistent taxonomy.
Authors
- Rémi Denise (ORCID: https://orcid.org/0000-0003-2277-689X)
- Andrew Millard (ORCID: https://orcid.org/0000-0002-3895-2854)
- Dann Turner (ORCID: https://orcid.org/0000-0002-0249-4513)
- Thomas Sicheritz‐Pontén (ORCID: https://orcid.org/0000-0001-6615-1141)
- Moi Taiga Thomas (ORCID: https://orcid.org/0000-0002-5609-868X)
- Maria Lestido
- Daniel G. Webster
Institutions
- University of Copenhagen (DK)
- University of Leicester (GB)
- University of the West of England (GB)
- University College Cork (IE)
- AIMST University (MY)
- Ecogenomics (Japan) (JP)
- APC Microbiome Institute (IE)
- NIHR Leicester Biomedical Research Centre (GB)
Publication Details
- Journal
- PHAGE
- Published
- 2025-02-24
- DOI
- https://doi.org/10.1089/phage.2024.0050
- Citations
- 45
- Primary Topic
- Bacteriophages and microbial interactions
- Type
- article
- Field-Weighted Citation Impact
- 75.52
Funders
- Medical Research Council