skills/smithery.ai/clustermarkers

clustermarkers

Installation
SKILL.md

ClusterMarkers Process Configuration

Purpose

Finds differentially expressed genes (markers) for clusters of T/B cells using Seurat's FindMarkers function. Performs statistical testing between clusters, identifies cluster-defining genes, and automatically runs pathway enrichment analysis (via Enrichr) on significant markers. Generates publication-ready visualizations including volcano plots, dot plots, heatmaps, and enrichment plots.

When to Use

  • After SeuratClustering: Essential for cluster interpretation and annotation
  • Cluster annotation: Identify marker genes to assign biological meaning to clusters
  • Publication preparation: Generate marker tables, volcano plots, and enrichment figures
  • Cell type characterization: Understand functional differences between cell populations
  • Comparative analysis: Compare clusters to find unique gene expression signatures

Configuration Structure

Process Enablement

[ClusterMarkers]
cache = true  # Cache results for faster re-runs with different visualizations
Installs
1
First Seen
Apr 5, 2026
clustermarkers from smithery.ai