PatchWorkPlot: simultaneous visualization of local alignments across multiple sequences.
other · Level V
Where this comes from
- Record sourced from PubMed, PMID 40971860.
- Also identified by DOI 10.1093/bioinformatics/btaf504 and PMC identifier 12516306.
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Abstract
Revealing 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. We 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. PatchWorkPlot is implemented using Python 3 and is publicly available at GitHub: github.com/yana-safonova/PatchWorkPlot.
Medical subject headings
- Software
- Sequence Alignment