PatchWorkPlot: simultaneous visualization of local alignments across multiple sequences
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arXiv
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| Hauptverfasser: | , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866908285166157824 |
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| author | Pospelova, Mariia Safonova, Yana |
| author_facet | Pospelova, Mariia Safonova, Yana |
| contents | Motivation: Revealing structural variations across sequences of closely related individuals or species is crucial for understanding their diversification mechanisms and roles. Results: We developed PatchWorkPlot, a tool for visualization of pairwise alignments of multiple annotated sequences as dot plots combined into a single matrix. Availability and implementation: PatchWorkPlot is implemented using Python 3 and is publicly available at GitHub: github.com/yana-safonova/PatchWorkPlot. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_20766 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | PatchWorkPlot: simultaneous visualization of local alignments across multiple sequences Pospelova, Mariia Safonova, Yana Quantitative Methods Motivation: Revealing structural variations across sequences of closely related individuals or species is crucial for understanding their diversification mechanisms and roles. Results: We developed PatchWorkPlot, a tool for visualization of pairwise alignments of multiple annotated sequences as dot plots combined into a single matrix. Availability and implementation: PatchWorkPlot is implemented using Python 3 and is publicly available at GitHub: github.com/yana-safonova/PatchWorkPlot. |
| title | PatchWorkPlot: simultaneous visualization of local alignments across multiple sequences |
| topic | Quantitative Methods |
| url | https://arxiv.org/abs/2503.20766 |