Gene and protein sequencing, gene expression analysis, protein expression and interaction analysis, genomic and proteomic analysis . protein-protein Interaction networks, metabolic networks and disease networks, quantitative tissue analysis, modeling biological systems: synthetic biology circuits, data analysis techniques and clinical computing interfaces.
The course is divided mainly in two parts:
SYSTEMS BIOLOGY AND OMIC TECHNOLOGIES:
- Fundamentals of genomics, proteomics and metabolomics
- How do normal cellular functions such as cellular division, cell activation, differentiation, and apoptosis emerge from the interaction of genes
- How to examine whole cell functions corresponding to observable phenotypes.
- How to generate network reconstructions, followed by the synthesis of in silico models describing functionalities.
- Systems Analysis of Complex Diseases.
- Systems Pharmacology: Understanding Drug Action from a System Perspective.
- Systems Pharmacogenomics: Personalized medicine.
- Design and construction of new biological parts, devices, and systems, and the re-design of existing natural biological system for better application.
- Build artificial biological systems for engineering applications.
- Draw powerful techniques for the rapid assembly of DNA.
- Engineer biological system: modify the behaviour of organisms and engineer them to perform new tasks. Create bioengineered microorganisms that can produce pharmaceuticals and repair damaged genes.