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

bio-data-visualization-specialized-omics-plots

Maintainer FreedomIntelligence · Last updated April 1, 2026

Specialized plots: lollipop (mutations), circomap, oncoprint.

OpenClawNanoClawAnalysisWritingbio-data-visualization-specialized-omics-plots🧠 bioos extended suitebioos extended bioinformatics suitespecialized

Original source

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-data-visualization-specialized-omics-plots

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

Skill Snapshot

Key Details From SKILL.md

2 min

Key Notes

sc.pl.umap(adata, color='leiden', palette='tab20', frameon=False, title='', legend_loc='on data', legend_fontsize=8).
Volcano plots (any DE result).
MA plots (any log-fold-change data).
PCA plots (any high-dimensional data).
Enrichment dotplots (manual, not enrichplot).

Source Doc

Excerpt From SKILL.md

UMAP/tSNE Plot (Python)

import scanpy as sc
import matplotlib.pyplot as plt

def umap_plot(adata, color, ax=None, **kwargs):
    if ax is None:
        fig, ax = plt.subplots(figsize=(8, 6))

    sc.pl.umap(adata, color=color, ax=ax, show=False, **kwargs)
    return ax

Use cases

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