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Lecturer(s)
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Oborník Miroslav, prof. Ing. Dr.
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Svoboda Petr, Mgr. DiS. et DiS.
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Course content
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Processing of biological data, eventually creation of a bioinformatic tool, or modification of the existing one, in order to process the data. The Project Report as a result should be in the form of a manuscript consisting of Abstract, Introduction, Material and Methods, Results, and Discussion. In an ideal case, the manuscript is then submitted to and published in an international scientific journal.
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Learning activities and teaching methods
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Dialogic (discussion, interview, brainstorming), Work with text (with textbook, with book), Laboratory
- Preparation for classes
- 25 hours per semester
- Class attendance
- 150 hours per semester
- Semestral paper
- 25 hours per semester
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Learning outcomes
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Independent semester project done in cooperation with biologists in their labs. The aim is to provide students with valid biological data sources, which they have to evaluate and transform them into useful structures, which can be used for scientific purposes later on.
The student should be able to work independently on the resolution of a given biological question by using bioinformatic skills, including the modification of a bioinformatic tool, or eventually create a bioinformatic tool. The sudent should also be able to interpret the results of performed analyzes and write a scientific manuscript.
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Prerequisites
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completed courses: Introduction to Bioinformatics Python Basics Molecular Biology and Genetics Diversity of Life Introduction to Genomics
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Assessment methods and criteria
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Student performance assessment, Seminar work
Result: Project Report, should be approved by the supervisor and guarantor.
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Recommended literature
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A. M. Lesk: Introduction to Bioinformatics, Oxford University Press, 3rd edition, 2008, 978-0199208043.
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Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins (2004) Wiley-Interscience, USA, 978-0471478782.
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A. M. Lesk. Introduction to Genomics. New York, 2007. ISBN 978 0199296958.
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J. Pevsner. Bioinformatics and Functional Genomics. New Jersey, USA, 2009. ISBN 978-0-470-08585-1.
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