Phase 4 — Single-cell RNA-seq
Module 25

Seurat — Core Workflow

Seurat is the dominant scRNA-seq R package. Master the full standard workflow on the PBMC3k dataset — QC filtering, SCTransform normalisation, PCA, UMAP, Leiden clustering, marker detection, and cell type annotation.

Weeks 32–33Timeline
~14 hrsStudy time
FREEAlways
What you'll learn

Topics covered in this module

QC metrics & filtering
SCTransform
PCA · UMAP
FindClusters
FindAllMarkers
Cell type annotation

📋 Not sure where this fits? Module 25 is part of the full bioinformatics curriculum — a structured 42-week learning path from Bash to single-cell RNA-seq.

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Module 25 of 31