A fast comparative genome browser for diverse bacteria and archaea.

Area of Science:

• Microbiology
• Bioinformatics
• Genomics

Background:

• Genome sequencing reveals vast prokaryotic diversity (bacteria and archaea).
• Current tools for browsing prokaryotic genomes are slow and inconvenient.
• Analyzing protein homolog prevalence and gene neighborhoods across diverse prokaryotes is challenging.

Purpose of the Study:

• To develop a fast and convenient web-based tool for browsing prokaryotic genomes.
• To enable rapid identification and analysis of protein homologs and their genomic context across diverse bacteria and archaea.

Main Methods:

• Developed fast.genomics, a web-based tool.
• Implemented a split database strategy: a main database with representative genera and order-specific databases with multiple species representatives.
• Utilized accelerated search algorithms for rapid homolog identification.

Main Results:

• fast.genomics allows quick browsing of protein homolog prevalence across prokaryotic taxa.
• The tool facilitates visualization of gene neighborhoods for identified homologs.
• Users can efficiently compare the prevalence of different proteins.

Conclusions:

• fast.genomics provides a fast and user-friendly solution for exploring prokaryotic genome diversity.
• The tool significantly improves the ability to study protein evolution and function across bacteria and archaea.
• Accelerated searches and optimized database structure are key to the tool's performance.