EZmito
EZmito performs automated analyses of mitochondrial genomes to prepare phylogenetic matrices, compute nucleotide compositional skews, and calculate codon usage statistics to support phylogenetic and phylogeographic research, including analyses of mitogenomes in the era of next-generation sequencing (NGS).
Key Features:
- EZpipe: Assembles DNA matrices for phylo-mitogenomic analyses to prepare sequence data sets for evolutionary studies.
- EZskew: Computes nucleotide compositional skews at genome-wide, strand-specific, and codon-based levels to assess structural biases in mitochondrial genomes.
- EZcodon: Calculates Relative Synonymous Codon Usage (RSCU) statistics and evaluates amino acid usage frequency across multiple mitogenomes.
- Outputs: Produces results in tabular formats and as publication-quality graphics.
Scientific Applications:
- Phylo-mitogenomic data preparation: Generation of DNA matrices for phylogenetic inference and comparative mitogenomic analyses.
- Nucleotide composition analysis: Assessment of genome-wide, strand-specific, and codon-based compositional skews to study mitochondrial genome organization and biases.
- Codon usage and amino acid frequency studies: RSCU and amino acid usage analyses to investigate molecular evolutionary pressures and adaptations across mitogenomes.
- Phylogenetic and phylogeographic research: Support for analyses across taxonomic levels using mitogenome-derived metrics.
Methodology:
Assembly of DNA matrices, computation of nucleotide compositional skews at genome-wide, strand-specific and codon-based levels, calculation of RSCU and amino acid usage frequency, and generation of tabular and publication-quality graphical outputs.
Topics
Details
- Tool Type:
- web application, workflow
- Added:
- 9/8/2021
- Last Updated:
- 9/13/2021
Operations
Publications
Cucini C, Leo C, Iannotti N, Boschi S, Brunetti C, Pons J, Fanciulli PP, Frati F, Carapelli A, Nardi F. EZmito: a simple and fast tool for multiple mitogenome analyses. Mitochondrial DNA Part B. 2021;6(3):1101-1109. doi:10.1080/23802359.2021.1899865. PMID:33796755. PMCID:PMC7995877.