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Lecturer(s)
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Berka Karel, prof. RNDr. Ph.D.
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Course content
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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
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Learning activities and teaching methods
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Monologic Lecture(Interpretation, Training)
- Preparation for the Exam
- 0 hours per semester
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Learning outcomes
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The subject is focused on the databases of molecular structures from the gaining data to their further application.
ability to evaluate particular methods and procedures, explain results related to Bioinformatics
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Prerequisites
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unspecified
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Assessment methods and criteria
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Oral exam
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Recommended literature
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Cvrčková, F. (2006). Úvod do praktické bioinformatiky. Academia, Praha.
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Krawetz, S.A., Woble, D.D. (2003). Introduction to Bioinformatics. A theoretical and Practical Approach. Humana Press, Totowa, New Jersey.
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Misener S.M., Krawetz S.A.). (2000). Bioinformatics: Methods and Protocols. Humana Press, Totowa.
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