CGR Viewer
Aimed at researchers and educators, CGR Viewer visualizes Chaos Game Representation data from nucleotide sequences for quick, informative analyses.
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About This Tool
Conceptually, CGR encodes sequence composition by iteratively mapping k-mers to points within a unit square. The density of point clusters reflects motif prevalence and sequence structure, revealing repeats, biases, and comparative patterns across samples.
Users benefit from a deterministic pipeline, support for multiple samples, and straightforward export options. Advanced users can tune k, color schemes, and normalization to emphasize different features, or integrate with pipelines via a stable API-like render URL.
Core features include multi-sample overlays on a common scale, adjustable k (1–6), SVG and PNG exports, and deterministic rendering suitable for reproducible analyses and teaching. Typical use cases include comparing genomes, validating sequence diversity, and generating visuals for reports.
How to Use
- Provide inputs: supply input_source and k;
- Configure options: set color_scheme, enable overlay_sources if needed;
- Run rendering: generate render_svg/render_url;
- Review outputs: inspect details;
- Export/share: download SVG/PNG or copy render URL.
Frequently Asked Questions
Find Quick Answers
What input formats are supported?
Can I overlay multiple samples?
What export formats are available?
Is my data private?
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