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Lecturer(s)
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Beran Pavel, Ing. Ph.D.
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Hejna Ondřej, Ing. Mgr. Ph.D.
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Course content
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Contents of blocks of lectures and exercises: 1. Operating systems based on GNU / Linux and basic orientations. 2. Programming in biology and programming paradigms. 3. Overview of programming languages common in biology. 4. Basic program flow. 5. Variables and arrays of variables. 6. Program flow control. 7. Iteration. 8. Functions and recursion. 9. Additions to programming languages and interoperability. 10. Statistics in programming. 11. Databases in programming. 12. Simple programming for biological practice. 13.-14. Creating more complex sets of programs usable in biology.
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing)
- Preparation for credit
- 10 hours per semester
- Preparation for exam
- 30 hours per semester
- Class attendance
- 56 hours per semester
- Semestral paper
- 25 hours per semester
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Learning outcomes
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The course offers contemporary methods of the biological and molecular data analysis. Students will learn about several types of computer tools for various kind of data analysis and will adopt basic concepts of the script creation in Python programming language.
Students are able to independently operate the common computer software on advanced level.
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Prerequisites
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Very good knowledge of informatics and standard knowledge of genetics and statistics
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Assessment methods and criteria
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Combined exam
Excellent informatics and computer technologies skills, appropriate knowledge of biology and genetics.
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Recommended literature
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Andreas D. et al. Bioinformatics: Practical Guide to the Analysis of Genes and Proteins. Wiley-Interscience, 2005. ISBN 0-471-47878-4.
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Cvrčková F. Úvod do praktické bioinformatiky. Academia, 2006. ISBN 50-200-1360-1.
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Higgins D., Taylor, W. Bioinformatics - sesyuence, structure and databanks. Oxford Univ. Press., 249 s., 2000.
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Misener, S.M., Krawetz, S.A. Bioinformatics. Methods and protocols.. Towwa, Humana Press, 500 s., 2000.
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Pačes J. Bioinformatika, XXIII. Genetické dny. SciPP Č. Budějovice, 2008.
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Yi-Ping Phoeb Chen. Bioinformatic Technologies. Springer, 2005. ISBN 3540208739.
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