Figure - AI and Bioinformatics in Microbiology
Purpose
Show how bioinformatics data products feed AI models, and how both return to wet-lab validation.
Used In
Diagram
flowchart TB Wet[Wet lab: culture / AST / imaging] Seq[[Whole-Genome Sequencing]] BI[[MOC - Bioinformatics in Microbiology]] Feat[Genes / trees / images / spectra features] AI[[MOC - AI in Microbiology]] Pred[Predictions: structure / AMR / ID] Dec[Clinical or experimental decision] Wet --> Seq Wet --> Feat Seq --> BI BI --> Feat Feat --> AI AI --> Pred Pred --> Dec Dec --> Wet
Teaching Legend
| Layer | Job | Example note |
|---|---|---|
| Wet lab | Ground truth | Antimicrobial Susceptibility Testing |
| Bioinformatics | Make data usable | WGS Bioinformatics Pipeline |
| AI | Learn patterns / generate | AlphaFold in Microbiology · Machine Learning for AMR Prediction |
Quick Self-Check
- Can AI replace AST today for most drugs/species?
- Where do AMR database errors enter the AI stack?