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genome-tracks

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Build genome-browser-style multi-track figures with pyGenomeTracks (config-driven), Gviz (R), and IGV batch screenshotting. Covers BigWig coverage tracks, BED/peak overlays, gene-model rendering, Hi-C matrix tracks, BedPE link arcs, spike-in-aware normalization, and the bamCoverage --normalizeUsing trap. Use when producing publication figures of genomic loci with stacked aligned tracks (coverage, peaks, genes, interactions) for ChIP-seq, ATAC-seq, RNA-seq, Hi-C, or generic locus visualization.

When to use

• BigWig coverage tracks
• BED/peak overlays
• gene-model rendering
• Hi-C matrix tracks
• BedPE link arcs
• spike-in-aware normalization
• ChIP-seq visualization
• ATAC-seq visualization

When not to use

• tasks not stated in skill text

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