1. komponenta

Lecture type	Total
Lectures	30

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

COURSE OBJECTIVES:
Introducing students to translational research in genomics and the methods used within those studies.

COURSE CONTENT:
1. Introduction to Translational Research.
2. Electronic health information. Biobanks and health databases. Ethical and security issues.
3. Databases obtained from high-throughput experiments. Integration of different types of data.
4. Computer genomics of infectious diseases. Diagnosis and characterization of infectious diseases by high-throughput methods. Modelling infectious diseases.
5. Computational genomics of hereditary diseases.
6. Computational genomics of complex diseases. Whole-genome association studies. Analysis of networks and pathways involved in the emergence of complex diseases.
7. Tumour genomics. Large-scale projects aimed at characterizing different types of tumours. Determination of mutations based on data generated by next-generation sequencing.
8. Gene ontologies and disease ontologies. Representation analysis.
9. Computational methods for determining priority genes involved in the onset of disease.
10. Computational Pharmacogenomics. Drug discovery and drug resistance genomics.
11. Text analysis in translational genomics. Literature databases. Natural language processing.
12. Personalized medicine. Patient stratification methods

1. Translational Bioinformatics (2012) PLOS Collections.
2. Recent publications in the area of translational genomics..

Enrollment :
Passed : Bioinformatics 2
Passed : Biology 2

Mandatory course - Regular study - Biomedical Mathematics