Indicative Learning Outcomes On completion of the course the students should:
- Proteomics: Will have seen how mass spectrometer are used to identify and quantify proteins and how this ability can be used in systems based biological research and clinical applications;
- Imaging for clinical diagnostics: Be familiar with the different imaging technologies used in clinics, their capabilities and limitations;
- Glycomics: Will be exposed to current techniques to analyse glycosilations on proteins, their representation in databases and which role glycosilations play in cancer biology. Finally, it will be demonstrated how glycosilations are characterised on pharmaceutical products.
- Metabolomics: Will learn about how metabolomic profiles are acquired and used in biological research
Clinical Applications in Proteomics: Will see how proteomic technologies are used in a clinical context
- Genomics: Will have seen the principals of genomics and its use in the identification of trait and disease;
- Flow cytometry: Be familiar with the concepts, the principles, practice and application of flow cytometry and cell sorting. Have a general understanding of sample preparation, the analysis and reanalysis of the data produced in a flow cytometer.
- Advanced Imaging technologies: Will have learned about the most recent advances in light and electron microscopic imaging and how it can be used in research to trace molecules in biological contexts.
- Advanced In Vivo Imaging: Will have learned what kind of imaging technologies are used in a clinical context
- Digital Pathology: Will have learned about the new tissue imaging techniques in histological pathology and its integration in clinical diagnosis

Not applicable to this module.

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