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Bioinformatics

Field of study: Bioinformatics
Responsible person: Ing. Matej Lexa, Ph.D.
Responsible workplace: Department of Information Technologies

This field of study at master level targets students who would like to obtain comprehensive knowledge in the area of computer science and at the same time learn how to apply this knowledge to the benefit of molecular biology, genetics, medicine and other recently established disciplines, such as bioinformatics, proteomics and genomics. The progress in these disciplines is often hindered by difficulties in communication between people with technical and biological education. However, the ever-growing biological data can not be dealt with without the use of modern algorithms and detailed knowledge of computer science. Graduates will be prepared for practical work or research in bioinformatics. The main goal of teaching Bioinformatics at the master level is to present this interdisciplinary field of study to interested students, provide them with knowledge needed to understand and solve existing and future problems in this field. A typical graduate should be able to propose methods of analysis of bioinformatic data and evaluate or develop appropriate computing tools to manipulate and present such data. He or she will be able to design and implement computing systems for bioinformatic use. The graduate should be able to address problems with a bioinformatic perspective, communicate efficiently with colleagues in a multidisciplinary environment. Areas currently using bioinformatics include biology, modern biotechnology, medicine and forensic science. A number of companies, especially abroad, develop software and hardware for scientific and practical bioinformatic needs. The potential for future development in this area is very good.

Tuition structure

At master level students have the big freedom in selection of courses to specialise on part of bioinformatics they are interested in. Courses are divided to three groups - biological sequences, structure of proteins and graphics, medical courses. Except FI the tuition prepares also the Faculty of Medicine and the Faculty of Sciences. At FI students pass a set of bioinformatics courses, from Bioinformatics II to own prepared project. Students show skills of individual work and orientation in field of bioinformatics in their diploma thesis. At the present time the study is enriched by the course about evolutionary bioinformatics taught by partners from the University of Vienna.
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Total list of subjects you can find in electronic study catalogue. We can mention at least the following subjects:
  • Bioinformatics II
  • Bioinformatics Seminar
  • Bionformatics Project
  • Graph Algorithms/Geometric algorithms
  • Structure and functions of proteins
  • Clinical data analysis