CGAT: a comparative genome analysis tool for visualizing alignments in the analysis of complex evolutionary changes...

Area of Science:

• Genomics
• Bioinformatics
• Evolutionary Biology

Background:

• Genomic sequence data is rapidly accumulating, offering insights into evolutionary histories.
• Analyzing complex genomic changes like insertions, deletions, and inversions remains challenging despite existing tools.

Purpose of the Study:

• To develop a novel comparative genome analysis tool (CGAT) for detailed analysis of closely related genomes.
• To facilitate the inference of evolutionary mechanisms by visualizing large-scale genomic alterations.

Main Methods:

• CGAT utilizes dotplot and alignment viewers with interactive scrolling and zooming for precomputed pairwise genome alignments.
• The tool allows dynamic alignment calculation for specific regions and integrates various sequence analysis data (e.g., repeats, G+C content, codon usage).
• Includes an alignment data construction module for pre- and post-processing, supporting different alignment engines and ortholog identification.

Main Results:

• CGAT enables detailed visualization and analysis of middle-to-large-scale genomic changes in bacteria-sized genomes.
• The tool facilitates the interpretation of genomic changes by overlaying diverse sequence information onto alignments.
• Dynamic alignment calculation aids in clarifying ambiguous alignment boundaries.

Conclusions:

• CGAT is a practical tool for analyzing complex genomic changes in closely related genomes.
• It integrates existing alignment programs and sequence analysis tools with manual inspection for comprehensive evolutionary inference.