|
Lecturer(s)
|
-
Berka Karel, doc. RNDr. Ph.D.
-
Martinát Dominik, Mgr.
|
|
Course content
|
Bioinformatics is a field, which uses IT methods for storage, analysis and visualization of large collections of biological data, i.e. from sequenation projects such as human genome project HUGO or following sequenation projects (ENCODE, Million Genomes, etc.). Bioinformatics thus enables us to read biological data and it helps us to understand them in fields such as gene function and regulation, and analysis of sequences in large. Lectures are focused on explanation of basic algorithms and databases of bioinformatics. Exercises are focused on on hand usage of available bioinformatics tools enabling students to cope with basic bioinformatic analysis of given problem. 1. Introduction to bioinformatics 2. Storage of biological sequence data 3. Sequence alignment - principles, programmes and interpretation 4. Databases for molecular biology 5. Gene prediction 6. Phylogenetic analysis, evolutionary trees 7. Introduction to systems biology 8. Genomes 9. Bioinformatic tools 10. Statistical methods in bioinformatics
|
|
Learning activities and teaching methods
|
Monologic Lecture(Interpretation, Training), Activating (Simulations, Games, Dramatization)
- Preparation for the Exam
- 60 hours per semester
|
|
Learning outcomes
|
The course is focused on the modern discipline of bioninformatics, combining IT technologies and computational approach to biological data analysis.
The course is focused on the modern discipline of bioinformatics, combining IT technologies and a computational approach to biological data analysis.
|
|
Prerequisites
|
unspecified
|
|
Assessment methods and criteria
|
Oral exam, Seminar Work
The student shall be able to discuss given topic chosen by the examiner (2 questions) and be able to solve a bioinformatic task with the use of internet sources (1-2 pages long analysis) or Rosalind server.
|
|
Recommended literature
|
-
Claverie, J.M., Notredame, C. (2007). Bioinformatics For Dummies. Hoboken, N.J.: Wiley Publishig, USA.
-
Cvrčková, F. (2006). Úvod do praktické bioinformatiky. Academia, Praha.
-
Pavel Pevzner, Rosalind Team. (2015). Rosalind. USA, Russia.
-
VOET D., VOET J. G. (1995). Biochemie. Praha.
|