Lecturer(s)
|
|
Course content
|
- Introduction to Information Technology. - Electronic databases (Web of Science, Science Direct, Scopus). - National Center for Biotechnology Information (NCBI). - Biochemical maps. Phylogenetic trees. - Genes of organisms. Sequencing and sequence analysis. - Genome analysis - identification; searching for characteristic sequences. - Primer design for PCR/ real-time PCR. - Methods for evaluating electrophoretic gels and amplification curves. - Modeling and design of protein structures. - Statistical methods for data evaluation.
|
Learning activities and teaching methods
|
Monologic (Exposition, lecture, briefing), Dialogic (Discussion, conversation, brainstorming), Practice exercises
- Preparation for course credit
- 30 hours per semester
|
learning outcomes |
---|
Knowledge |
---|
Understand the fundamental principles and applications of information technology in the fields of biotechnology and molecular biology |
Understand the fundamental principles and applications of information technology in the fields of biotechnology and molecular biology |
Knowledge of major electronic databases such as Web of Science, Science Direct, and Scopus, and their use for searching scientific literature and data |
Knowledge of major electronic databases such as Web of Science, Science Direct, and Scopus, and their use for searching scientific literature and data |
Understand the functions and uses of NCBI (National Center for Biotechnology Information) for accessing biological data |
Understand the functions and uses of NCBI (National Center for Biotechnology Information) for accessing biological data |
Comprehend the principles of constructing phylogenetic trees for analyzing evolutionary relationships between organisms or genes |
Comprehend the principles of constructing phylogenetic trees for analyzing evolutionary relationships between organisms or genes |
Knowledge of the principles and methods for DNA and RNA sequencing and data analysis |
Knowledge of the principles and methods for DNA and RNA sequencing and data analysis |
Knowledge of the criteria for designing effective primers and the use of specialized software tools |
Knowledge of the criteria for designing effective primers and the use of specialized software tools |
Explain the principle of amplification curves obtained from real-time PCR and the quantification of target sequences |
Explain the principle of amplification curves obtained from real-time PCR and the quantification of target sequences |
Knowledge of basic statistical methods for evaluating biotechnological and molecular biological data |
Knowledge of basic statistical methods for evaluating biotechnological and molecular biological data |
Skills |
---|
Critically evaluate scientific information and data from various sources |
Critically evaluate scientific information and data from various sources |
Efficiently search and manage scientific publications in electronic databases, such as Web of Science, Science Direct, and Scopus |
Efficiently search and manage scientific publications in electronic databases, such as Web of Science, Science Direct, and Scopus |
Work with bioinformatics tools and technologies for processing and analyzing biological data |
Work with bioinformatics tools and technologies for processing and analyzing biological data |
Search for genetic and protein sequences in NCBI databases, such as GenBank |
Search for genetic and protein sequences in NCBI databases, such as GenBank |
Evaluate amplification curves from real-time PCR for accurate measurement of gene expression |
Evaluate amplification curves from real-time PCR for accurate measurement of gene expression |
Interpret the results of electrophoresis and amplification to confirm experimental hypotheses |
Interpret the results of electrophoresis and amplification to confirm experimental hypotheses |
Use software for primer design and optimization of PCR reactions |
Use software for primer design and optimization of PCR reactions |
Use bioinformatics tools to analyze genomic sequences and identify genetic variations |
Use bioinformatics tools to analyze genomic sequences and identify genetic variations |
Interpret sequencing results and comparing sequences between different organisms |
Interpret sequencing results and comparing sequences between different organisms |
Use software tools to create and analyze phylogenetic trees |
Use software tools to create and analyze phylogenetic trees |
teaching methods |
---|
Knowledge |
---|
Monologic (Exposition, lecture, briefing) |
Monologic (Exposition, lecture, briefing) |
Methods for working with texts (Textbook, book) |
Methods for working with texts (Textbook, book) |
Skills |
---|
Dialogic (Discussion, conversation, brainstorming) |
Dialogic (Discussion, conversation, brainstorming) |
Practice exercises |
Practice exercises |
assessment methods |
---|
Knowledge |
---|
Grade (Using a grade system) |
Didactic test |
Didactic test |
Grade (Using a grade system) |
Recommended literature
|
-
GLANTZ, S.A. Primer of Biostatistics, 7th Ed.. McGraw-Hill Companies, 2012. ISBN 978-0-07-179440-4.
-
MOTULSKY, H. Intuitive Biostatistics: A Nonmathematical Guide to Statistical Thinking, 3rd Ed.. Oxford, 2014. ISBN 978-0199946648.
-
QUINN, G.P., KEOUGH, M.J. Experimental Design and Data Analysis for Biologists. Cambridge, 2002. ISBN 0521811287.
-
SURZYCKI, S. Basic Techniques in Molecular Biology. Springer-Verlag Berlin Heidelberg, 2000. ISBN 978-3-642-56968-5.
-
ŠMARDA, J. Metody molekulární biologie. Brno: MU Brno, 2008. ISBN 978-80-210-3841-7.
-
van PELT-VERKUIL, E., van BELKUM, A., HAYS, J.P. Principles and Technical Aspects of PCR Amplification. Springer, Dordrecht, 2008. ISBN 978-1-4020-6240-7.
|