CoMetGeNe

CoMetGeNe identifies conserved organizational motifs linking metabolic pathways and genomic neighborhoods to detect maximal trails of reactions catalyzed by adjacent enzyme-coding genes and assess their conservation across prokaryotic species.

Key Features:

• Integrative analysis: Performs simultaneous analysis of metabolic pathways and genomic contexts within a species to relate reaction chains to neighboring genes.
• Maximal-trail detection: Identifies maximal trails of reactions catalyzed by products of adjacent enzyme-coding genes.
• Conservation across species: Extends analyses to assess conservation of genomic and metabolic organization across multiple prokaryotic species.
• Genome annotation refinement: Detects conserved genomic neighborhoods and reveals putative alternative metabolic routes and unexpected gene ordering occurrences that inform annotation.
• Exploratory functional insights: Provides evidence for conservation of functionally related clusters of neighboring enzyme-coding genes to infer functional linkages.

Scientific Applications:

• Systems Biology: Integrates metabolic and genomic context data to study network organization and functional modules within organisms.
• Evolutionary Biology: Identifies conserved organizational motifs to trace evolutionary conservation and divergence of metabolic-genomic arrangements.
• Genomics and Metabolism Research: Supports discovery of alternative metabolic pathways, gene order variations, and improved genome annotations.
• Bioinformatics and Computational Biology: Enables computational analyses that link enzyme-coding gene neighborhoods to metabolic reaction chains for model development and hypothesis generation.

Methodology:

Performs simultaneous analysis of metabolic pathways and genomic contexts, identifies maximal trails of reactions catalyzed by adjacent enzyme-coding genes, assesses conservation across multiple prokaryotic species, and detects conserved genomic neighborhoods and alternative metabolic routes.