Environmental adaptations in metagenomes revealed by deep learning
Our findings highlight the utility of deep learning for classification of diverse biological sequences and provide a framework for combining methods to improve model interpretability and ecological insights.
Authors
- Thomas Möck (ORCID: https://orcid.org/0000-0001-9604-0362)
- Johanna C. Winder (ORCID: https://orcid.org/0000-0002-7509-772X)
- Simon Poulton
- Taoyang Wu (ORCID: https://orcid.org/0000-0002-2663-2001)
- Cock van Oosterhout (ORCID: https://orcid.org/0000-0002-5653-738X)
Institutions
- University of East Anglia (GB)
- Norwich Research Park (GB)
- Shropshire Council (GB)
Publication Details
- Journal
- BMC Biology
- Published
- 2025-08-10
- DOI
- https://doi.org/10.1186/s12915-025-02361-1
- Citations
- 1
- Primary Topic
- Genomics and Phylogenetic Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.81
Funders
- University of East Anglia
- Biotechnology and Biological Sciences Research Council