Advance Access publication January 28, 2011 | Mitchell J. Sullivan, Nicola K. Petty and Scott A. Beatson*
**Easyfig: A Genome Comparison Visualizer**
Easyfig is a Python application designed for creating linear comparison figures of multiple genomic loci, facilitating the visualization and interactive coloring of BLAST comparisons between genomic regions. It supports a wide range of genomic scales, from single genes to entire prokaryotic chromosomes, and is user-friendly, accessible to biologists with minimal bioinformatics or computing experience. The application can handle various sequence formats (e.g., GenBank, EMBL) and allows for customization of features such as gene annotations, introns, and pseudogenes. Easyfig also enables the generation of BLAST comparisons and custom graphs, providing clear and publication-quality images. The tool is available under a GPL license and can be downloaded from the SourceForge website. It is platform-independent, supporting Mac OS X, Unix, and Microsoft Windows. Easyfig's command-line version allows for integration into analysis pipelines.**Easyfig: A Genome Comparison Visualizer**
Easyfig is a Python application designed for creating linear comparison figures of multiple genomic loci, facilitating the visualization and interactive coloring of BLAST comparisons between genomic regions. It supports a wide range of genomic scales, from single genes to entire prokaryotic chromosomes, and is user-friendly, accessible to biologists with minimal bioinformatics or computing experience. The application can handle various sequence formats (e.g., GenBank, EMBL) and allows for customization of features such as gene annotations, introns, and pseudogenes. Easyfig also enables the generation of BLAST comparisons and custom graphs, providing clear and publication-quality images. The tool is available under a GPL license and can be downloaded from the SourceForge website. It is platform-independent, supporting Mac OS X, Unix, and Microsoft Windows. Easyfig's command-line version allows for integration into analysis pipelines.