Evidence map›Paper›PMID 40007724›Full record

ArticleNAR genomics and bioinformatics2025

LoVis4u: a locus visualization tool for comparative genomics and coverage profiles.

Artyom A Egorov, Gemma C Atkinson

Abstract read
In one paragraph

Article in NAR genomics and bioinformatics, 2025. 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
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  7. Genomic and Phenotypic Characterization of Avian-DerivedAnimals : an open access journal from MDPI · 2026
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  9. A-liner: linear alignment visualizer for genome comparisons.Bioinformatics (Oxford, England) · 2026
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  11. Hawaiian Geothermal Fumaroles Contain Diverse and Novel Viruses.bioRxiv : the preprint server for biology · 2026
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  15. Enhanced editing ofApplied and environmental microbiology · 2026
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  17. Development of the first EuropeanFrontiers in microbiology · 2026
    Article
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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

2 authors.

Artyom A EgorovDepartment of Experimental Medical Science, Lund University, 221 84, Lund, Sweden.ORCID 0000-0001-5578-5384
Gemma C AtkinsonDepartment of Experimental Medical Science, Lund University, 221 84, Lund, Sweden.ORCID 0000-0002-4861-4584

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Comparative genomic analysis often involves visualization of alignments of genomic loci. While several software tools are available for this task, ranging from Python and R libraries to stand-alone graphical user interfaces, a tool is lacking that offers fast, automated usage and the production of publication-ready vector images. Here we present LoVis4u, a command-line tool and Python API designed for highly customizable and fast visualization of multiple genomic loci. LoVis4u generates vector images in PDF format based on annotation data from GenBank or GFF files. It is capable of visualizing entire genomes of bacteriophages as well as plasmids and user-defined regions of longer prokaryotic genomes. Additionally, LoVis4u offers optional data processing steps to identify and highlight accessory and core genes in input sequences. Finally, LoVis4u supports the visualization of genomic signal track profiles from sequencing experiments. LoVis4u is implemented in Python3 and runs on Linux and MacOS. The command-line interface covers most practical use cases, while the provided Python API allows usage within a Python program, integration into external tools, and additional customization. The source code is available at the GitHub page: github.com/art-egorov/lovis4u. Detailed documentation that includes an example-driven guide is available from the software home page: art-egorov.github.io/lovis4u.

Indexed as

GenomicsSoftwareUser-Computer Interface

Identifiers

PMID40007724
PMCPMC11850299

What OpenQuestion holds

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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.