November 8, 2025Open Access

Scalable and systematic hierarchical virus taxonomy with vConTACT3

View Full Paper

Ask AI

Bookmark

Authors

Discussion

Machine learning improves virus classification and scalability, revealing fewer taxonomic ranks in virosphere analysis.

Thousands of taxa received new taxonomy assignments, showing extensive improvements in classification accuracy.
Taxonomic ranks were found to be fewer than currently recognized, indicating a need for reevaluation in virus taxonomy.
Application of vConTACT3 to 48,069 public virus genomes provided insights into taxonomically problematic areas.
Machine learning-based tool enhances scalability, while improving classification across eukaryote and prokaryote viruses.

Bolduc et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark