Bioinformatics
Study programme: microbiology full-time form of study
Teaching language: english
Subject code: LBMI/BioIn df/COS/22 Short: BioIn df/COS
Teaching language: english
Subject code: LBMI/BioIn df/COS/22 Short: BioIn df/COS
- Credits: 5
- Completion method: Examination
Form, course-load and method od study: | |
Method of study: | present |
Prerequisites a following | |
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CONDITIONS FOR COMPLETION OF COURSE | |
In order to pass the course, the student must have active participation in lectures and practical training. The prerequisite for passing the examination is the preparation and defence of a seminar paper on the topic assigned by the supervisor (in the range A-E), which is the result of self-study. The examination is awarded on the basis of an assessment of the knowledge acquired (in the A-E range). | |
Learning outcomes | |
The graduate of the compulsory elective course bioinformatics will acquire additional knowledge about informatics and bioinformatics tools used in genomics and proteomics, i.e. analysis of DNA and protein sequences, analysis of big data, such as transcriptomic and proteomic data, and analyses within immunogenetics. The learning outcomes are verified by the preparation of a seminar paper, its defence and a final examination. |
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Brief outline of the course | |
DNA sequence analysis (Sanger sequence analysis). How to do alignment of sequences, different methods of alignment, different methods of construction of dendrograms. Next generation sequence analysis. How to do quality control. How to do sequence alignment. How to map genome sequences. Gene Ontology (GO). What is GO. How to use GO. Analysis of cell signaling. Methods and use of different servers. Shiney R. How to use Shiney R in the analysis of transcriptomic and proteomic data. Prediction servers. Different prediction servers for DNA, RNA and proteins. Primer design. Bioinformatics of epitopes, mimotopes, MHC and antibodies. |
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Recommended literature | |
Dev Bukhsh Singh, Rajesh Kumar Patha: Bioinformatics: Methods and Applications, 2021, ISBN 978-0-323-89775-4. Hoyt Robert, Muenchen Robert: Introduction to Biomedical Data Science, 2019, ISBN 978-1-79476-173-5. Jialiang Yang, Liao Bo, Tuo Zhang, Yifei Xu: Bioinformatics Analysis of Single Cell Sequencing Data and Applications in Precision Medicine, 2019, ISBN 9782889635283. Maxwell James: Bioinformatics for beginners: A Comprehensive Guide to Bioinformatics for Beginners, ISBN 979-8450604480. Vijai Singh, Ajay Kumar: Advances in Bioinformatics, 2021, ISBN 978-981-33-6190-4. |
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Conditions for completion of course | |
Conditions for completion of course: In order to pass the course, the student must have active participation in lectures and practical training. The prerequisite for passing the examination is the preparation and defence of a seminar paper on the topic assigned by the supervisor (in the range A-E), which is the result of self-study. The examination is awarded on the basis of an assessment of the knowledge acquired (in the A-E range).
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LANGUAGE, WHICH KNOWLEDGE IS NEEDED TO PASS THE COURSE | |
english |
Evaluation of the course | |||||
Total number of evaluated students: 0 | |||||
A | B | C | D | E | FX |
0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
Date of last modification: 30.03.2023 | |||||
Approved by: Tutot Prof. MVDr. Emil Pilipčinec, PhD. |