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Updated: Jan 17, 2026

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PatchWorkPlot: simultaneous visualization of local alignments across multiple sequences.

Mariia Pospelova1, Yana Safonova1,2

  • 1Computer Science and Engineering Department, Pennsylvania State University, State College, PA 16802, United States.

Bioinformatics (Oxford, England)
|September 19, 2025
PubMed
Summary
This summary is machine-generated.

PatchWorkPlot automates the visualization of structural variations in multiple annotated sequences. This tool simplifies generating complex dot plots for comparative genomics, reducing manual effort.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Understanding structural variations is key to population diversification.
  • Current visualization tools for structural variations are labor-intensive and lack annotation integration.

Purpose of the Study:

  • To develop an automated tool for visualizing structural variations in multiple annotated sequences.
  • To simplify the generation of complex comparative sequence plots.

Main Methods:

  • Developed PatchWorkPlot, a Python 3-based tool.
  • Implemented automated visualization of pairwise alignments as matrix-combined dot plots.
  • Enabled exploration of structural variation positions, breakpoints, and architectures.

Main Results:

  • PatchWorkPlot generates high-resolution, publication-ready figures.
  • The tool supports customizable visualization parameters.
  • Significantly reduces manual work for generating complex comparative sequence plots.

Conclusions:

  • PatchWorkPlot streamlines the analysis of structural variations across diverse genomic scales.
  • Facilitates deeper insights into population diversification mechanisms through enhanced visualization.