Gecko

Gecko detects and analyzes conserved and approximate gene clusters across multiple genomes, including clusters with gaps or missing genes, to support comparative genomics analyses.

Key Features:

• Set-Distance Based Gene Cluster Models: Employs set-distance based models to detect gene clusters that accommodate gaps and variant conservation patterns across genomes.
• Tolerance to Homology Assignment Errors: Incorporates robustness to errors in gene homology assignments to preserve reliable cluster detection despite inaccurate homology calls.
• Median Gene Cluster Concept: Implements a "median gene cluster" concept that permits small deviations in gene content within clusters instead of strict equality constraints.
• Efficient Algorithms: Includes efficient algorithms for computing median gene clusters and detecting approximate gene clusters across multiple genomes.

Scientific Applications:

• Comparative Genomics: Enables whole-genome comparisons based on gene order for evolutionary studies and functional annotation.
• Gene Cluster Analysis: Supports identification and analysis of conserved gene clusters to study genomic organization, evolution, and function.

Methodology:

Uses set-distance based models and the median gene cluster concept, relaxing strict equality constraints, and implements efficient algorithms to compute median gene clusters for pairwise and multiple genome comparisons while maintaining robustness to homology assignment errors.