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Lecturer(s)
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Takáč Tomáš, doc. Ing. Ph.D.
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Course content
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Students will, based on assignments provided by the instructor, evaluate proteomic data from scientific publications. According to a given specification, they will complete a tasks focused on the bioinformatic analysis of proteomic data (for example protein function, localization, interactions, structure prediction, signaling pathway prediction, etc.) using software applications. The results of their analyses will be presented in the form of a PowerPoint presentation, followed by a discussion of the presented results. Students will also prepare a proposal on how to apply proteomic analysis in addressing the topic of their master's thesis.
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Learning activities and teaching methods
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Lecture, Work with Text (with Book, Textbook)
- Homework for Teaching
- 60 hours per semester
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Learning outcomes
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Students will gain knowledge about the proteomic techniques and their exploitation in plant science. Students will get familiar with proteomic scientific literature as well as basics of proteomic data evaluation.
Students will gain skills in presenting of proteomic experimental papers, in handling, evaluation and interpretation of proteomic data.
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Prerequisites
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unspecified
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Assessment methods and criteria
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unspecified
Regular attendance on the seminars. Elaboration and presentation of bioinformatic evaluation of proteomic data. Presentation of potential application of proteomic methods in diploma thesis.
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Recommended literature
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Albert, I. The Biostar Handbook (2nd ed.). 2025.
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Šamaj J, Thelen J. Plant Proteomics. Berlin.
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