bio-chipseq-visualization
Visualize ChIP-seq data using deepTools, Gviz, and ChIPseeker. Create heatmaps, profile plots, and genome browser tracks. Visualize signal a…
Maintainer FreedomIntelligence · Last updated April 1, 2026
Multi-panel genome track plots with pyGenomeTracks.
Original source
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-data-visualization-genome-tracks
Skill Snapshot
Source Doc
library(Gviz)
library(GenomicRanges)
## Ideogram
itrack <- IdeogramTrack(genome = 'hg38', chromosome = 'chr1')
## Gene model
library(TxDb.Hsapiens.UCSC.hg38.knownGene)
txdb <- TxDb.Hsapiens.UCSC.hg38.knownGene
grtrack <- GeneRegionTrack(txdb, genome = 'hg38', chromosome = 'chr1',
name = 'Genes', transcriptAnnotation = 'symbol')
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