Syllabus: Seminar 1. Searching engines and biological databases. Seminar 2. Literature and citation tools. Seminar 3. Science social networking and scientometrics. Seminar 4. Types and structure of research papers. Basics of academic writing. Seminar 5. Intro to biometry and biomedical statistics. Seminar 6. Artificial intelligence (AI) applications in biology. Seminar 7. DNA databases. Seminar 8. Protein databases. Seminar 9. Protein structure prediction and molecular docking. Seminar 10. Biodiversity databases and databases of model organisms. Seminar 11. Microscope image processing. Seminar 12. Microscope image presentation. Theoretical introduction by the instructor at the beginning of each seminar, delivered in the form of a brief presentation. All 12 presentations will be provided to students in PDF format at the end of the course for convenient use during their further studies. Main recommended articles, websites, and YouTube videos for each seminar: Seminar 1. Search Engines and Biological Databases NCBI PubMed: https://pubmed.ncbi.nlm.nih.gov/ Scopus: https://www.scopus.com/pages/home?display=basic Google Scholar: https://scholar.google.com/ Seminar 2. Literature Management and Citation Tools Mondal, H. (2026). Reference Management in Manuscript Preparation: A Technical Guide for Zotero. Indian Journal of Nuclear Medicine, 40(6), 355-361. How to Use Mendeley - Full Tutorial with Examples: https://www.youtube.com/watch?v=PJXnfBSq4Lg Seminar 3. Scientific Social Networking and Scientometrics ResearchGate: https://www.researchgate.net/ Marginson, S. (2022). Global Science and National Comparisons: Beyond Bibliometrics and Scientometrics. Comparative Education, 58(2), 12. Seminar 4. Types and Structure of Research Papers: Fundamentals of Academic Writing Chauhan, P. (2022). Fundamentals of Academic Writing: A Literature Review. Journal of NELTA, 27(1-2), 161-180. Bailey, S. (2024). The Essentials of Academic Writing for International Students. Routledge. Yucuis, N. (2016). Basics of Academic Writing. Seminar 5. Introduction to Biometry and Biomedical Statistics Hoffman, J. I. (2019). Biostatistics for Medical and Biomedical Practitioners. Academic Press. Hawkins, D. (2019). Biomeasurement: A Student's Guide to Biological Statistics. Oxford University Press. Mead, R. (2017). Statistical Methods in Agriculture and Experimental Biology. Chapman & Hall/CRC. Seminar 6. Applications of Artificial Intelligence (AI) in Biology Hassoun, S., Jefferson, F., Shi, X., Stucky, B., Wang, J., & Rosa Jr., E. (2021). Artificial Intelligence for Biology. Integrative and Comparative Biology, 61(6), 2267-2275. Aceves-Fernandez, M. A. (2019). Artificial Intelligence: Applications in Medicine and Biology. BoD - Books on Demand. Dogan, G., Vaidya, D., Bromhal, M., & Banday, N. (2024). Artificial Intelligence in Marine Biology. In A Biologist's Guide to Artificial Intelligence (pp. 241-254). Academic Press. Sun, N. (2026). Challenges and Potential Applications of AI in Systems Biology. Nature Reviews Molecular Cell Biology, 27(2), 89-90.
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Getting familiar with various aspects of the use of information for study and research in the field of biotechnology, with a focus on on-line information sources.
After completing of seminars, students will be able to work with selected multidisciplinary and specialized databases, build a search query, work with search results, get the full texts of primary documents and use them in the preparation of scientific publications. They will also be able to obtain and interpret basic information from different biological databases.
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selected by supervisor.
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1. On-line elektronické informační zdroje.
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Hassoun, S., Jefferson, F., Shi, X., Stucky, B., Wang, J., & Rosa Jr, E. Artificial intelligence for biology. 2021.
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Chauhan, P. Fundamentals of academic writing: A literature review. 2022.
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Mondal, H. Reference Management in Manuscript Preparation: A Technical Guide for Zotero. 2026.
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