Data & ReproScientific VisualizationFreedomIntelligence/OpenClaw-Medical-SkillsData & Reproduction

bio-data-visualization-multipanel-figures

Maintainer FreedomIntelligence · Last updated April 1, 2026

Compose multipanel publication figures with cowplot or patchwork.

OpenClawNanoClawAnalysisWritingbio-data-visualization-multipanel-figures🧠 bioos extended suitebioos extended bioinformatics suitecompose

Original source

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-data-visualization-multipanel-figures

Maintainer: FreedomIntelligence
License: MIT
Last updated: April 1, 2026

Skill Snapshot

Key Details From SKILL.md

2 min

Key Notes

(p1 | p2) / p3 (p1 + p2) / (p3 + p4).
(p1 + p2 + p3) + plot_annotation(tag_levels = 'A').

Source Doc

Excerpt From SKILL.md

patchwork Basics

library(patchwork)

p1 <- ggplot(df, aes(x, y)) + geom_point()
p2 <- ggplot(df, aes(group, value)) + geom_boxplot()
p3 <- ggplot(df, aes(x)) + geom_histogram()

## Custom labels

(p1 + p2 + p3) + plot_annotation(tag_levels = list(c('A', 'B', 'C')))

## Label styling

(p1 + p2) + plot_annotation(
    tag_levels = 'A',
    tag_prefix = '(',
    tag_suffix = ')',
    theme = theme(plot.tag = element_text(face = 'bold', size = 14))
)

Use cases

Use bio-data-visualization-multipanel-figures to prepare publication-quality figures.
Apply bio-data-visualization-multipanel-figures when results need clear visual communication.