Evidence map›Paper›PMID 33796755›Full record

ArticleMitochondrial DNA. Part B, Resources2021

EZmito: a simple and fast tool for multiple mitogenome analyses.

Claudio Cucini, Chiara Leo, Nicola Iannotti, Sara Boschi, Claudia Brunetti, Joan Pons, Pietro Paolo Fanciulli, Francesco Frati, Antonio Carapelli, Francesco Nardi

Abstract read
In one paragraph

Article in Mitochondrial DNA. Part B, Resources, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Genomic Divergence BetweenEcology and evolution · 2026
    Article
  6. Article
  7. The complete mitochondrial genome of the parasitoidMitochondrial DNA. Part B, Resources · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. The Complete Mitochondrial Genome ofEcology and evolution · 2025
    Article
  14. Article
  15. The mitochondrial genome of the fringe-lipped frog-eating batMitochondrial DNA. Part B, Resources · 2025
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Claudio CuciniDepartment of Life Sciences, University of Siena, Siena, Italy.ORCID https://orcid.org/0000-0003-1918-0702
Chiara LeoDepartment of Life Sciences, Imperial College London, London, UK.ORCID https://orcid.org/0000-0003-0510-2535
Nicola IannottiDepartment of Life Sciences, University of Siena, Siena, Italy.ORCID https://orcid.org/0000-0001-7758-5367
Sara BoschiDepartment of Life Sciences, University of Siena, Siena, Italy.ORCID https://orcid.org/0000-0001-6724-5684
Claudia BrunettiDepartment of Life Sciences, University of Siena, Siena, Italy.ORCID https://orcid.org/0000-0002-5260-5840
Joan PonsDepartment de Biodiversitat Animal i Microbiana, Institut Mediterrani d'Estudis Avancats, Esporles, Spain.ORCID https://orcid.org/0000-0002-0313-3357
Pietro Paolo FanciulliDepartment of Life Sciences, University of Siena, Siena, Italy.ORCID https://orcid.org/0000-0003-2999-6203
Francesco FratiDepartment of Life Sciences, University of Siena, Siena, Italy.ORCID https://orcid.org/0000-0002-4549-5831
Antonio CarapelliDepartment of Life Sciences, University of Siena, Siena, Italy.ORCID https://orcid.org/0000-0002-3165-9620
Francesco NardiDepartment of Life Sciences, University of Siena, Siena, Italy.ORCID https://orcid.org/0000-0003-0271-9855

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Complete mitochondrial genome data are frequently applied to address phylogenetic/phylogeographic issues at different taxonomic levels in ecology and evolution. While sample preparation/sequencing is becoming more and more straightforward thanks to dropping costs for next-generation sequencing (NGS), data preparation and visualization remains a manually intensive step that may lead to errors if improperly conducted. We have elaborated, and here introduce, EZmito, a simple and intuitive, freely accessible Web Server aimed at automating some of these tasks. EZmito is divided into three main tools: EZpipe that assembles DNA matrices for phylo-mitogenomic analyses; EZskew that calculates genome, strand, and codon nucleotide compositional skews and EZcodon which computes Relative Synonymous Codon Usage statistics as well as amino acid usage frequency over multiple mitogenomes. Output is produced in tabular format as well as publication-quality graphics.

Indexed as

mitogenomenucleotide biasphylogenyRSCUWeb Server

Identifiers

PMID33796755
PMCPMC7995877

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.