EZmito2: a tool suite for mitochondrial genome dataset preparation, population genetics, and visualization

Clicks: 33
ID: 325566
2026
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #81 of 283 articles by views in molecular biology and evolution

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 283 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
Mitogenomic datasets are central to molecular evolution and phylogenetics, yet preparatory workflows remain labor-intensive and prone to errors introduced during manual data preparation. EZmito2 is a re-implementation of the widely used EZmito pipeline that offers a fully reproducible, and user-accessible solution for mitogenomic dataset curation and result visualization. It is accessible via a public web-server for rapid analyses and through local installation, enabling reproducible workflows on personal computers or computational clusters. The pipeline consolidates the core modules-EZpipe, EZskew, and EZcodon-and extends functionality through newly developed tools for genome visualization (EZcircular, EZmap), chimeric region detection (EZmix), gene extraction from NCBI-deposited genomes (EZsplit), structural annotation of transmembrane domains in mitochondrial protein-coding genes (EZtrampo) and for population genetic studies (EZdist, EZpcoa, EZpopstat). All tools accept standard input formats and generate ready-to-publish outputs. By providing a user-friendly platform for mitogenomic exploration and quality control, EZmito2 facilitates reproducible analyses for evolutionary and molecular research communities.
Reference Key
openalex_W7203751468 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors
Journal molecular biology and evolution
Year 2026
DOI
10.1093/molbev/msag210
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.