Evidence map›Paper›PMID 39806284›Full record

ArticleBMC bioinformatics2025

CompàreGenome: a command-line tool for genomic diversity estimation in prokaryotes and eukaryotes.

Gabriele Moro, Rossano Atzeni, Ali Al-Subhi, Maria Giovanna Marche

Abstract read
In one paragraph

Article in BMC bioinformatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

4 authors.

Gabriele MoroTechnology Park of Sardinia, Bioecopest Srl, SP 55 Km 8.400, Tramariglio, Alghero, SS, Italy. gmoro@bioecopest.com.
Rossano AtzeniCenter for Advanced Studies, Research and Development in Sardinia, CRS4 Srl, Pula, CA, Italy.
Ali Al-SubhiPlant Sciences Department, College of Agricultural and Marine Sciences, Sultanate Qaboos University, Al-Khoud, Sultanate of Oman.
Maria Giovanna MarcheTechnology Park of Sardinia, Bioecopest Srl, SP 55 Km 8.400, Tramariglio, Alghero, SS, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe increasing availability of sequenced genomes has enabled comparative analyses of various organisms. Numerous tools and online platforms have been developed for this purpose, facilitating the identification of unique features within selected organisms. However, choosing the most appropriate tools can be unclear during the initial stages of analysis, often requiring multiple attempts to match the specific characteristics of the data. Here, we introduce CompàreGenome, a command-line tool specifically designed for genomic diversity estimation analyses. Suitable for both prokaryotes and eukaryotes, this tool is particularly valuable in the early stages of studies when little information is available about the genetic differences or similarities among compared organisms.

resultsIn all the tests conducted, CompàreGenome successfully identified specific genetic features of the selected organisms, detected the most conserved genes, pinpointed highly divergent ones, and functionally annotated these genes. This provided insights into biological processes, molecular functions, and cellular components associated with each gene. The tool also distinguished organisms at the strain level and quantified genetic distances using three distinct analytical methods.

conclusionCompàreGenome empowers users to explore genomic differences among organisms, translating technical outputs from various tools into actionable insights for biologists. While primarily tested on small microbial genomes, the tool has potential applications for larger genomes. CompàreGenome is implemented in Bash, R, and Python and is freely available under an LGPL-2.1 license.

Indexed as

EukaryotaGenetic VariationGenomicsSoftwareGenomeGenome, BacterialProkaryotic CellsBioinformatics toolComparative genomicsFunctional annotationMicroorganisms

Identifiers

PMID39806284
PMCPMC11731138

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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.