ProkBERT PhaStyle: accurate phage lifestyle prediction with pretrained genomic language models
Genomic LMs offer a simple and computationally efficient alternative for solving complex classification tasks, such as phage lifestyle prediction. ProkBERT PhaStyle's simplicity, speed, and performance suggest its utility in various ecological and clinical applications.
Authors
- Noémi Ligeti-Nagy (ORCID: https://orcid.org/0000-0003-0851-7621)
- Balázs Ligeti (ORCID: https://orcid.org/0000-0003-0301-0434)
- János Juhász (ORCID: https://orcid.org/0000-0002-1307-7387)
- Sándor Pongor (ORCID: https://orcid.org/0000-0001-6022-4792)
- Babett Bodnár
- Julianna Juhász
Institutions
- Semmelweis University (HU)
- Eötvös Loránd University (HU)
- ELTE Research Centre for Linguistics (HU)
- Pázmány Péter Catholic University (HU)
Publication Details
- Journal
- Bioinformatics Advances
- Published
- 2024-12-26
- DOI
- https://doi.org/10.1093/bioadv/vbaf188
- Citations
- 1
- Primary Topic
- Bacteriophages and microbial interactions
- Type
- article
- Field-Weighted Citation Impact
- 0.46