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
Export publication-quality figures in PDF/SVG/TIFF at specified DPI.
Original source
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-reporting-figure-export
Skill Snapshot
Source Doc
import matplotlib.pyplot as plt
## R (ggplot2)
```r
library(ggplot2)
p <- ggplot(data, aes(x, y)) + geom_point() +
theme_classic(base_size = 8) +
theme(text = element_text(family = 'Arial'))
## PDF for vector graphics
ggsave('figure1.pdf', p, width = 3.5, height = 3, units = 'in')
Related skills
Visualize ChIP-seq data using deepTools, Gviz, and ChIPseeker. Create heatmaps, profile plots, and genome browser tracks. Visualize signal a…
Generate consensus FASTA sequences by applying VCF variants to a reference using bcftools consensus. Use when creating sample-specific refer…
Visualize copy number profiles, segments, and compare across samples. Create publication-quality plots of CNV data from CNVkit, GATK, or oth…
Circular genome visualization with Circos or pycirclize.