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circos-plots

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Build circular genome visualizations using circlize (R), pyCirclize (Python), or Circos (Perl CLI) with ideogram tracks, multi-data tracks (scatter, histogram, heatmap), chord/link arcs for interactions, and explicit circos.clear() between plots. Covers when circular is appropriate vs when Cartesian wins (Cleveland-McGill 1984), karyograms, and chromosome adjacency in chord diagrams. Use when adjacency on the circle conveys meaning — chromosome-level overview, structural variants, Hi-C interactions, cross-genome comparisons.

When to use

• circular genome visualizations
• ideogram tracks
• multi-data tracks (scatter, histogram, heatmap)
• chord/link arcs for interactions
• karyograms
• chromosome adjacency in chord diagrams
• structural variants
• Hi-C interactions

When not to use

• comparing values across categories
• time series
• precise value reading

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