Proteny
Proteny detects and analyzes protein-level synteny between diverged genomes to characterize conserved gene order and genomic rearrangements in microorganisms.
Key Features:
- Amino Acid Sequence Analysis: Operates at the amino acid sequence level, providing robustness to codon usage variation when detecting homology.
- Exon Clustering: Clusters groups of exons irrespective of their order to accommodate rearrangements and exon shuffling.
- Statistical Significance: Assigns statistical significance to syntenic clusters to enable selection based on rigorous criteria.
- Visualization Capabilities: Provides visualization methods for synteny analysis at multiple scales.
Scientific Applications:
- Cross-divergence Synteny Analysis: Applied to both closely related and distantly related genomes, including two strains of Aspergillus niger (closely related) and two species of Basidiomycota (distantly related).
- Comparative Benchmarking: Identifies clusters with more true homologies while reducing the number of gene-poor clusters relative to other tools.
- Genomic Variation Studies: Used to study genome rearrangements, assembly errors, gene duplications, and conservation of specific genes.
- Evolutionary and Structural Genomics: Supports investigations of evolutionary relationships and genomic architecture through protein-level synteny evidence.
Methodology:
Analyzes amino acid sequences to detect synteny, clusters exons without regard to order, and assigns statistical significance to identified clusters.
Topics
Collections
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux
- Programming Languages:
- Python
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Data Inputs & Outputs
Publications
Gehrmann T, Reinders MJ. Proteny: discovering and visualizing statistically significant syntenic clusters at the proteome level. Bioinformatics. 2015;31(21):3437-3444. doi:10.1093/bioinformatics/btv389. PMID:26116928. PMCID:PMC4612220.