Alignment-free viral sequence classification at scale
Despite the high-class dimensionality, we show that word-based AF methods effectively represent viral sequences. Our study highlights the practical advantages of AF techniques, including significantly faster processing compared to alignment-based methods and the ability to classify sequences using modest computational resources.
Authors
- Marcel Dunaiski (ORCID: https://orcid.org/0000-0003-1957-3979)
- Houriiyah Tegally (ORCID: https://orcid.org/0000-0002-7102-8540)
- Joicymara S. Xavier (ORCID: https://orcid.org/0000-0002-4649-6270)
- Túlio de Oliveira (ORCID: https://orcid.org/0000-0002-3027-5254)
- D. J. VAN ZYL
- Cheryl Baxter (ORCID: https://orcid.org/0000-0002-6033-7655)
Institutions
- Universidade Federal de Minas Gerais (BR)
- University of Washington (US)
- Stellenbosch University (ZA)
- Centre for the AIDS Programme of Research in South Africa (ZA)
- Universidade Federal dos Vales do Jequitinhonha e Mucuri (BR)
- Seattle University (US)
- University of KwaZulu-Natal (ZA)
Publication Details
- Journal
- BMC Genomics
- Published
- 2025-04-18
- DOI
- https://doi.org/10.1186/s12864-025-11554-5
- Citations
- 3
- Primary Topic
- Bacteriophages and microbial interactions
- Type
- article
- Field-Weighted Citation Impact
- 3.43