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After completing the course, the student will be able:
- to analyse and evaluate the results of omics studies
- to explain the technologies that are applied to perform global analyses biomacromolecules and metabolites
- to analyze datasets obtained by global analyses of RNAs, proteins and metabolites
- to identify factors that regulate gene expression and biological processes at the post-transcriptional level
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The course aims to provide an overview of the ‘omics’ technologies: state-of-the-art methods that can be used to analyse all genes, their transcripts, proteins and metabolites within a sample and differences between samples, without previously targeting specific molecules. This course will be focused on post-transcriptional aspects of gene expression. Omics technologies are rapidly developing, but have become indispensable in the modern Chemical Biology laboratory. Omics platforms provide a lot of data, but the use of Chemometric data analysis methods has proven very useful in finding new, hitherto unknown 'Biomarkers' for diet, disease and many more biological processes. The course will cover the different omics platforms and the data analysis methods used to extract the relevant information; there will be guest lectures on the application of omics in pharmaceutical development, hospital practice and on the ethical aspects of omics analyses.
Instructional Modes
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This is a mandatory course in the specialisation 'Chemistry of life'.
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Written exam (80%) and assessment of tutorial assignments (20%).
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| Omics can be extended with the ‘Pattern Recognition in the Natural Sciences’ course (3EC), which covers multivariate data analysis more in-depth. This course will allow students to use multivariate data analysis models to interpret their own experiments. |
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