EZmito2 Web Server
powered by ESZ_lab (University of Siena)
EZmito2 is a bioinformatic web server for phylogenetic data preparation, nucleotide composition analysis of mitogenomes, and detection of chimeric regions produced during the assembly process.
(version 2026.3, March 2026)
EZmito is composed of seven main tools:
- EZcirclular allows users to rearrange mitochondrial genomes by defining a new starting gene.
- EZcodon enables visualization of codon usage in mitogenomes. It produces codon usage tables together with informative graphical outputs.
- EZmap allows users to generate graphical maps of linear and circular mitogenomes.
- EZmix helps identify regions of intermolecular similarity that may indicate the assembly of chimeric mitochondrial genomes. The tool provides graphical outputs highlighting these regions.
- EZpipe supports the creation of aligned and concatenated genetic datasets while minimizing operator-related errors. It was developed primarily for large datasets (e.g. phylo-mitogenomic analyses), but it is also suitable for small matrices.
- EZskew allows visualization of major compositional biases in mitogenomes, including AT-bias, strand bias, and codon position bias, through intuitive graphical outputs.
- EZsplit facilitates rapid dataset generation from multiple mitogenomes downloaded from GenBank (NCBI). It splits mitochondrial gene features into separate FASTA files (one per protein-coding gene) and was designed to streamline correct data submission to EZpipe.
Issues
Due to its recent release, EZmito may still present minor issues related to input file parsing and processing. Program fixes and updates are scheduled; however, users may occasionally encounter errors. In such cases, please carefully verify the required input files for each tool and try again. If the problem persists, do not hesitate to contact us.
Credits
While using EZmito, you are also making use of third-party software that should be acknowledged in any resulting publication, together with EZmito.
Contacts
For further information, please contact Dr. Claudio Cucini at claudio.cucini2@unisi.it or visit our website.