Panakeia

Panakeia analyzes prokaryotic pangenomes by constructing graph-based representations to capture genetic variation, synteny, and structural patterns for comparative and evolutionary analyses.

Key Features:

• Graph-Based Representation: Employs graph-based models to represent input genomes and construct a pangenome graph that captures genetic variation across a population.
• Detection of Genetic Patterns: Applies graph algorithms to identify shared insertions, deletions, rearrangements, and variants across groups of genomes.
• Synteny Analysis: Integrates synteny information to assess conservation of gene order and structural organization across genomes.
• Structural Pattern Recognition: Analyzes multiple structural patterns beyond presence/absence matrices to characterize genomic architecture within bacterial populations.

Scientific Applications:

• Discovery and Analysis: Supports discovery and detailed analysis of pangenome features in both diverse and highly clonal bacterial groups.
• Comparative Genomics: Facilitates comparisons across strains from different ecological niches to define functional potential within bacterial communities.
• Evolutionary Insights: Highlights shared evolutionary histories and genomic dynamics to inform studies of microbial evolution and adaptation.

Methodology:

Constructs a pangenome graph that integrates synteny and structural information and applies graph algorithms to detect shared insertions, deletions, rearrangements, and variants across groups of genomes.