rnaseq-plot
Use when the user already has an RNA-seq count or expression matrix and needs downstream plots or analysis (normalize, PCA, DESeq2/edgeR/limma, volcano, heatmap, GO/KEGG, GSEA, WGCNA). Call the rnaseq-plot MCP tools named rgraph_*; do not redraw in Python.
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- Repository
- MiniMax-AI/MiniMax-Code-Plugins
- Last source activity
- August 25, 2026 at 02:52
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- English
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- 18
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- 13
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- rnaseq-plot
- description
- Use when the user already has an RNA-seq count or expression matrix and needs downstream plots or analysis (normalize, PCA, DESeq2/edgeR/limma, volcano, heatmap, GO/KEGG, GSEA, WGCNA). Call the rnaseq-plot MCP tools named rgraph_*; do not redraw in Python.
# rnaseq-plot
Use the `rnaseq-plot` MCP server. Tool functions are still named `rgraph_*`. Prefer R-rendered png+pdf over matplotlib copies.
## Typical order
1. `rgraph_env` — confirm Rscript and packages
2. `rgraph_normalize` / `rgraph_pca` / `rgraph_correlation` as needed
3. `rgraph_diff` — default significance metric is **padj**, not raw p-value
4. `rgraph_volcano`, `rgraph_heatmap`, `rgraph_enrich`, `rgraph_gsea`, `rgraph_wgcna` as requested
Required table columns are in the Plugin README (`sample_name`/`group`, `gene_id`, counts).
If Rscript is missing, return the generated `.R` script and the command to run it. If a package is missing, return the install hint from the tool. Do not pretend the figure was drawn.
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