VICTOR
VICTOR infers phylogenetic relationships and classifies prokaryotic viruses (bacterial and archaeal viruses) from genome sequence data to support viral taxonomy and evolutionary analyses.
Key Features:
- In Silico Framework: Employs a computational framework aligned with phylogenetic systematics and leverages a comprehensive reference dataset of officially classified viruses.
- Phylogenetic Analysis: Generates phylogenetic trees that exhibit high concordance with existing classifications, with most taxa supported as monophyletic but with reduced resolution at the family level.
- Distance Threshold Optimization: Applies distance thresholds optimized to maximize agreement with established taxonomy, identifying phylogenetically coherent clusters for taxon delineation.
- Identification of Novel Taxa: Detects novel species, genera, subfamilies, and families through analysis of an expanded dataset of over 4,000 genomes from public databases.
Scientific Applications:
- Biogeochemical Cycle Research: Supports investigation of prokaryotic virus roles in biogeochemical processes by clarifying evolutionary relationships and taxonomy.
- Therapeutic Development: Informs development of phage-based therapeutics against multi-resistant pathogens by identifying and classifying novel viral taxa.
- Viral Evolution Studies: Enables studies of viral evolution and diversity by providing phylogenetic context and a taxonomic framework for prokaryotic viruses.
Methodology:
Generates phylogenetic trees, applies distance thresholds optimized for maximal taxonomic agreement, and compares results to a reference dataset of officially classified viruses; analyses include an expanded dataset of over 4,000 genomes from public databases.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 6/14/2018
- Last Updated:
- 11/25/2024
Operations
Publications
Meier-Kolthoff JP, Göker M. VICTOR: genome-based phylogeny and classification of prokaryotic viruses. Bioinformatics. 2017;33(21):3396-3404. doi:10.1093/bioinformatics/btx440. PMID:29036289. PMCID:PMC5860169.