1. komponenta

Lecture type	Total
Lectures	30
Practicum	30

* Load is given in academic hour (1 academic hour = 45 minutes)

1. Introduction to translational research.
2. Electronic health data. Biobanks and health databases. Ethical and security issues.
3. Databases obtained from high-flow experiments. Integration of different types of data.
4. Computational genomics of infectious diseases. Diagnosis and characterization of infectious diseases using high-throughput methods. Modeling of infectious diseases.
5. Computational genomics of hereditary diseases.
6. Computational genomics of complex diseases. Genome-wide association studies. Analysis of networks and pathways involved in the development of complex diseases.
7. Tumor genomics. Large-scale projects aimed at characterizing different tumor types. Determination of mutations based on data obtained by next-generation sequencing.
8. Gene ontologies and disease ontologies. Representation analysis.
9. Computer methods for determining the priority genes involved in the development of the disease.
10. Computational pharmacogenomics. Drug discovery and the genomics of drug resistance.
11. Text analysis in translational genomics. Literature databases. Natural language processing.
12. Personalized medicine. Methods of patient stratification

Izborni predmeti - Računalna biologija - Regular study - Molecular Biology