Machine learning classification of archaea and bacteria identifies novel predictive genomic features
tRNA, rRNA and ncRNA genes emerged as the key genomic elements that underpin the classification of archaea and bacteria. In particular, higher nucleotide diversity was found in tRNA from bacteria compared to archaea. The analysis of the few classification errors reflects the complex phylogenetic relationships between bacteria, archaea and eukaryotes.
Authors
- Nicoletta Bianchi (ORCID: https://orcid.org/0000-0001-9280-6017)
- Davide Rigoni (ORCID: https://orcid.org/0000-0003-2092-3577)
- Cristian Taccioli (ORCID: https://orcid.org/0000-0003-2995-5612)
- Sachithra Kalhari Yaddehige (ORCID: https://orcid.org/0009-0004-6809-6720)
- Tania Bobbo (ORCID: https://orcid.org/0000-0003-0328-8903)
- Leonardo Alberghini (ORCID: https://orcid.org/0000-0002-0172-3054)
- Filippo Biscarini (ORCID: https://orcid.org/0000-0002-3901-2354)
Institutions
- University of Padua (IT)
- National Academies of Sciences, Engineering, and Medicine (US)
- University of Ferrara (IT)
- Institute of Agricultural Biology and Biotechnology (IT)
- Institute of Biomedical Technologies (IT)
- National Research Council (IT)
- Deleted Institution
Publication Details
- Journal
- BMC Genomics
- Published
- 2024-10-14
- DOI
- https://doi.org/10.1186/s12864-024-10832-y
- Citations
- 7
- Primary Topic
- Genomics and Phylogenetic Studies
- Type
- article
- Field-Weighted Citation Impact
- 1.64
Funders
- European Commission
- Università degli Studi di Padova