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.

Documentation

Links