Reusable teaching modules

Each expanded module connects biological measurements to method choices, assumptions, worked R examples and interpretation challenges, with suggested answers and selected further reading. Follow a course pathway in the unified map, or choose a block below.

The learning pathway labels the core, extension and advanced entry points for every block. Apply selected modules in the real-data cases; the assessment crosswalk identifies evidence of learning.

Available modules

• B01: Biological questions and omics measurements
• B02: Experimental design and biological sampling
• B03: Biological databases and identifier mapping
• B04: Programming and reproducible data handling
• B05: Genomic measurements and sequence analysis
• B06: Transcriptomics and expression analysis
• B07: Epigenomic measurements and regulatory interpretation
• B08: Protein identification, abundance and structure
• B09: Metabolite features, identification and quantification
• B10: Microbial communities and host relationships
• B11: Phenomics, sensors and measurement timing
• B12: Statistical models and honest validation
• B13: Association, prediction and regulatory evidence
• B14: Pathway enrichment and biological networks
• B15: Integrating molecular layers and phenotypes
• B16: Single-cell, spatial and emerging methods
• B17: Reproducibility, data governance and responsible research
• B18: Animal-production questions and integrated reporting

Development status

All 18 modules are available. Each is linked to suitable practicals; advanced topics are identified as conceptual extensions where a specialized software pipeline is not implemented.