Evidence map›Paper›PMID 40971860›Full record

ArticleBioinformatics (Oxford, England)2025

PatchWorkPlot: simultaneous visualization of local alignments across multiple sequences.

Mariia Pospelova, Yana Safonova

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Mariia PospelovaComputer Science and Engineering Department, Pennsylvania State University, State College, PA 16802, United States.
Yana SafonovaComputer Science and Engineering Department, Pennsylvania State University, State College, PA 16802, United States.ORCID 0000-0002-9634-4216

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationRevealing structural variations within and across populations is crucial for understanding their diversification mechanisms and roles. Existing tools for visualization of structural variations often require labor-intensive figure preparation and are limited in their ability to integrate annotations.

resultsWe developed PatchWorkPlot, a tool for automated visualization of pairwise alignments of multiple annotated sequences as dot plots combined into a single matrix. PatchWorkPlot enables exploration of positions, breakpoints, and architectures of structural variations across two or more sequences. The tool supports customization of visualization parameters and produces high-resolution, publication-ready figures. PatchWorkPlot significantly reduces manual work and simplifies the generation of complex plots for various cases, from individual loci to large-scale comparative projects. AVAILABILITY AND IMPLEMENTATION: PatchWorkPlot is implemented using Python 3 and is publicly available at GitHub: github.com/yana-safonova/PatchWorkPlot.

Indexed as

Sequence AlignmentSoftwareComputer Graphics

Identifiers

PMID40971860
PMCPMC12516306

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.