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Vyučující
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Žlábek Vladimír, prof. Ing. Ph.D.
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Burkina Viktoriia, MSc. Ph.D.
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Gazo Evgenia, MSc. Ph.D.
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Urban Jan, Ing. Ph.D.
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Obsah předmětu
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Basic topics of the course are: 1) Omics Techniques and Data Analysis - Intro 2) Genomics 3) Transcriptomics 4) Proteomics 5) Lipidomics 6) Metabolomics_MS 7) Metabolomics_NMR 8) Epigenomics 9) Metagenomics 10) Bioinformatics
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Studijní aktivity a metody výuky
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Monologická (výklad, přednáška, instruktáž), Individuální konzultace s vyučujícím
- Účast na výuce
- 20 hodin za semestr
- Semestrální práce
- 8 hodin za semestr
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Výstupy z učení
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The students will learn the basic principles of high-performance -omics technologies, generated data management, and the principles of choosing the most appropriate analysis method dependent on the defined problem. The aim of the course is to provide students with basic knowledge of Genomics, Transcriptomics, Proteomics, Lipidomics, Metabolomics, Metagenomics, Epigenomics, Biostatistics and present examples of applications in contemporary research. Course graduates will be able to evaluate the merits of the approach-creating hypothesis and complement the experiment appropriately with conventional analyses. The students will understand the principles of pre-processing, statistical analysis and visualization of large data sets necessary for the successful interpretation of experimental results generated by high-performance omics methods.
Study prerequisites includes basic knowledge of molecular biology and statistics.
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Předpoklady
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Study prerequisites includes basic knowledge of molecular biology and statistics.
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Hodnoticí metody a kritéria
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Kombinovaná zkouška, Test
Study prerequisites includes basic knowledge of molecular biology and statistics.
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Doporučená literatura
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Arivaradarajan, P., Misra, G. Omics Approaches, Technologies And Applications. Springer Verlag, Singapore, 2019. ISBN 9789811329241.
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Debmalya B., Vasudeo Z., Vasco A.. OMICS: Applications in Biomedical, Agricultural, and Environmental Sciences,. CRC Press, 2017. ISBN 9781138074750.
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