EZmito: a simple and fast tool for multiple mitogenome analyses

Area of Science:

• Ecology and Evolution
• Genomics
• Bioinformatics

Background:

• Mitochondrial genome data are crucial for phylogenetic and phylogeographic studies.
• Next-generation sequencing (NGS) has made data generation easier, but analysis remains labor-intensive.
• Manual data preparation can introduce errors in evolutionary analyses.

Purpose of the Study:

• To introduce EZmito, a freely accessible web server.
• To automate key tasks in mitochondrial genome data preparation and analysis.
• To provide researchers with a user-friendly tool for phylo-mitogenomic studies.

Main Methods:

• Development of EZmito, a web server with three integrated tools: EZpipe, EZskew, and EZcodon.
• EZpipe: Assembles DNA matrices for phylogenetic analyses.
• EZskew: Calculates nucleotide compositional skews; EZcodon: Computes codon and amino acid usage statistics.

Main Results:

• EZmito automates the assembly of DNA matrices for phylo-mitogenomic analyses.
• The server calculates genome, strand, and codon nucleotide compositional skews.
• It computes Relative Synonymous Codon Usage and amino acid usage frequency across multiple mitogenomes.

Conclusions:

• EZmito simplifies and automates critical steps in mitochondrial genome data analysis.
• The tool provides tabular and graphical outputs for publication-quality results.
• EZmito aims to reduce manual effort and potential errors in evolutionary and ecological research.