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@@ -7,11 +7,11 @@ description: "Single-cell RNA-seq analysis. Load .h5ad/10X data, QC, normalizati
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## Overview
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This skill provides comprehensive support for analyzing single-cell RNA-seq data using scanpy, a scalable Python toolkit built on AnnData. Use this skill for complete single-cell workflows including quality control, normalization, dimensionality reduction, clustering, marker gene identification, visualization, and trajectory analysis.
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Scanpy is a scalable Python toolkit for analyzing single-cell RNA-seq data, built on AnnData. Apply this skill for complete single-cell workflows including quality control, normalization, dimensionality reduction, clustering, marker gene identification, visualization, and trajectory analysis.
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## When to Use This Skill
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Activate this skill when:
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This skill should be used when:
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- Analyzing single-cell RNA-seq data (.h5ad, 10X, CSV formats)
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- Performing quality control on scRNA-seq datasets
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- Creating UMAP, t-SNE, or PCA visualizations
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