Training
Courses from beginner to advanced for all InTraC researchers
Under Development
This web resource is still under active development. Content may be incomplete or subject to change.
A comprehensive training programme to equip all InTraC researchers with the computational skills needed for modern multi-omics research.
Full information about our training courses can be found here.
Beginner
- R / Python — Introduction to programming for data analysis
- Linux / HPC Basics — Working with the command line and cluster environments
- Git — Version control for reproducible research
Intermediate
- Differential Expression Analysis — Statistical methods for bulk RNA-seq
- Seurat / Scanpy — Single-cell RNA-seq analysis frameworks
- Pathway & Gene Set Enrichment — Functional interpretation of omics results
Advanced
- Multi-omics Integration — Methods for cross-modality data analysis
- Nextflow Development — Building and customising analysis pipelines
- Machine Learning for Omics — Applying ML approaches to biological data
- Reproducible Research — Best practices for open and reproducible science
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