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Bioinformatics

Code: 44405
ECTS: 5.0
Lecturers in charge: prof. dr. sc. Kristian Vlahoviček - Lectures
Lecturers: Silvestar Beljan, mag. ing. agr. - Practicum
Kristian Bodulić, mag. biol. mol. - Practicum
Doris Brkić, mag. biol. mol. - Practicum

doc. dr. sc. Rosa Karlić - Lectures
Take exam: Studomat
English level:

1,0,0

All teaching activities will be held in Croatian. However, foreign students in mixed groups will have the opportunity to attend additional office hours with the lecturer and teaching assistants in English to help master the course materials. Additionally, the lecturer will refer foreign students to the corresponding literature in English, as well as give them the possibility of taking the associated exams in English.
Load:

1. komponenta

Lecture typeTotal
Lectures 15
Practicum 30
* Load is given in academic hour (1 academic hour = 45 minutes)
Description:
COURSE CONTENT:

LECTURES
1. - 3. Familiarity with biological databases, network resources and use of specific databases.
3. - 5. Basics of using sequence alignment tools, substitution matrices, dynamic programming.
5. - 7. Familiarity with heuristic methods for searching sequences according to similarity.
7. - 9. Methodology and use of tools for multiple sequence alignment
9. - 11. Basic principles and tools of phylogeny
11. - 13. Structural bases and visualization of spatial structures of macromolecules
13. - 15. Basics of functional genomics, sequencing and genomic bioinformatics.

PRACTICAL PART
Students divided into groups will do research on selected examples with the help of professors and assistants.

1. - 10. Through individual projects, they search databases, look for data on epidemiology, genetics and molecular mechanisms of diseases.
10 - 20. After familiarizing themselves with the literature, they move on to searching sequence databases and learn to manipulate sequences through various bioinformatics tools in order to get the necessary information.
20 - 30. The research is rounded off with phylogenetic analysis, classification and visualization of the discovered results.

Students are required to fill out a questionnaire that includes describing their motivation for the course before being approved for enrollment.

The entire application process takes place electronically, and the deadline for completing the questionnaire will be until Wednesday, September 21st, 2022.
Literature:
  1. A.M. Campbell, L.J. Heyer (2002) Discovering Genomics, Proteomics and Bioinformatics. J.H.Wiley & Sons
    N. C. Jones, P. A. Pevzner (2004) An Introduction to Bioinformatics Algorithms. MIT Press
    D.W. Mount (2004) Bioinformatics: Sequence and Genome Analysis 2ed. CSHL Press
    Izvori na Internetu.
  2. S. B. Primrose, R.M. Twyman (2003) Principles of Genome Analysis and Genomics 3ed. Blackwell Publishing
    R. Durbin, S. Eddy, A. Krogh, G. Mitchinson (1998) Biological Sequence Analysis. Cambridge University Press.
    P. Baldi, S. Brunak (2002) Bioinformatics: A Machine Learning Approach. MIT Press
    Izvori na Internetu.
1. semester
Izborni predmeti - Regular study - Molecular Biology
Izborni predmeti - Regular module - Physiology and Immunobiology

9. semester
Izborni predmeti biologija - Regular study - Biology and Chemistry Education
Consultations schedule: