Course: Information technologies in biotechnology

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Course title Information technologies in biotechnology
Course code TUIOZP/TP4IT
Organizational form of instruction Lesson
Level of course Bachelor
Year of study not specified
Semester Summer
Number of ECTS credits 2
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Šerá Jana, Ing. Ph.D.
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.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester