Phase 4 — Single-cell RNA-seq
Module 30

Plant scRNA-seq Capstone

Your flagship GitHub project. Apply everything to a real plant scRNA-seq dataset — Arabidopsis root or rice. Full Seurat and Scanpy workflows, trajectory analysis, pseudo-bulk DE, and TAIR gene annotations.

Weeks 39–40Timeline
~14 hrsStudy time
FREEAlways
What you'll learn

Topics covered in this module

Seurat + Scanpy on plant data
Trajectory analysis
TAIR annotations
Biological interpretation
v1.0 GitHub release

📋 Not sure where this fits? Module 30 is part of the full bioinformatics curriculum — a structured 42-week learning path from Bash to single-cell RNA-seq.

See full curriculum →

Lessons are on their way.

We're building this module carefully — every lesson comes with exercises, datasets, and a GitHub repository you push as proof of skill. Sign up to be notified the moment it goes live.

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Module 30 of 31