PatchWorkPlot
PatchWorkPlot visualizes pairwise alignments of multiple annotated sequences as dot plots combined into a single matrix, enabling exploration of positions, breakpoints, and architectures of structural variations across two or more sequences.
Key Features:
- Multi-sequence dot plot visualization: Automated visualization of pairwise alignments of multiple annotated sequences as dot plots combined into a single matrix.
- Structural variation exploration: Enables exploration of positions, breakpoints, and architectures of structural variations across two or more sequences.
- Customization of visualization parameters: Supports customization of visualization parameters for figure generation.
- Publication-ready output: Produces high-resolution, publication-ready figures.
Scientific Applications:
- Structural variation analysis: Reveals structural variations within and across populations for understanding diversification mechanisms and roles.
- Comparative genomics: Simplifies generation of complex plots for various cases, from individual loci to large-scale comparative projects.
Methodology:
PatchWorkPlot is implemented using Python 3.
Topics
Details
- Programming Languages:
- Python
- Added:
- 2/22/2026
- Last Updated:
- 2/22/2026