Seurat Single-Cell Analyzer Skill Purpose Enable Seurat single-cell analysis for clustering, annotation, and trajectory analysis of scRNA-seq data. Capabilities - Quality filtering and normalization - Dimensionality reduction (PCA, UMAP) - Graph-based clustering - Marker gene identification - Cell type annotation - Integration across datasets - Trajectory inference Usage Guidelines - Apply quality filters appropriate for experiment - Normalize data before dimensionality reduction - Select clustering resolution based on biology - Identify markers for cluster annotation - Integrate datasets to…