Overview
Academic contacts
Offerings
Requisites
Other learning activities
Learning activities
Learning outcomes
Demonstrate bioinformatics skills, in particular the ability to critically evaluate data in databases and to use databases and large data sets to generate biological information.
Apply ‘omics methodologies to generate and analyse large data sets of gene, protein, and metabolite measurements.
Evaluate the top-down (statistical) and bottom-up (mechanistic) approaches that can be used to interpret complex biological systems and generate new hypotheses.
Apply knowledge of systems biology technologies and interdisciplinary approaches to design research projects that generate information in microbiological, medical, forensics or other biological fields.
Assessments
Additional information
1. Genomics and systems applications 2. Transcriptomes and translation 3. Proteomics 4. Metabolomics 5. Comparative and functional genomics 6. Secretion systems 7. Signalling and regulatory pathways 8. Modelling and computation 9. Systems medicine