PřF:C2135 Bioinformatics for practice - Course Information
C2135 Bioinformatics for practice
Faculty of ScienceSpring 2026
- Extent and Intensity
- 0/2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
In-person direct teaching - Teacher(s)
- Mgr. Lenka Malinovská, Ph.D. (lecturer)
Mgr. Josef Houser, Ph.D. (seminar tutor) - Guaranteed by
- Mgr. Lenka Malinovská, Ph.D.
National Centre for Biomolecular Research – Faculty of Science
Supplier department: National Centre for Biomolecular Research – Faculty of Science - Timetable of Seminar Groups
- C2135/01: Mon 16. 2. to Fri 22. 5. Wed 14:00–15:50 B09/316
C2135/02: Mon 16. 2. to Fri 22. 5. Wed 16:00–17:50 B09/316 - Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- fields of study / plans the course is directly associated with
- Biomolecular Chemistry (programme PřF, N-BCH)
- Chemoinformatics and Bioinformatics (programme PřF, B-BCH)
- Abstract
- At the end of the course students should be able to: search for information and work with biological databases; perform independent bioinformatic analyses of data; prepare experimental project focused on protein cloning
- Learning outcomes
- At the end of the course students should: 1) Obtain basic knowledge of bioinformatics. Students should be able to: 1) Process bioinformational data. 2) Predict basic properties of biomacromolecules. 3) Utilize bioinformational tools for solving of biological problems.
- Key topics
- Information search. General search, biological databases. Criminality associated with scientific literature.
- Sequence alignment. Parameters (gaps, matrix). Nucleotide vs. amino acid alignments. Repetitions. Alignment as a tool for sequencing data analyses.
- Gene prediction, prediction of proteins and their functions. Protein structure prediction.
- Primer design. Their importance, basic characteristics, secondary structure prediction, false priming, design of specific primers.
- Cloning and restriction endonucleases digestion.
- Protein properties prediction. Possibilities, comparison of demands and reliability of calculation and experiment.
- Individual project: identification of putative genes in the genome of an unknown organism, which are important for pro virulence. Function prediction of encoded proteins.
- Demonstration of practical exercise: Polymerase chain reaction and agarose electrophoresis.
- Study resources and literature
- recommended literature
- ŠMARDA, Jan; Jiří DOŠKAŘ; Roman PANTŮČEK; Vladislava RŮŽIČKOVÁ and Jana KOPTÍKOVÁ. Metody molekulární biologie (Methods of molecular biology). 2. dotisk 1. vydání. Brno: Masarykova univerzita, 2010, 194 pp. ISBN 978-80-210-3841-7. info
- XIONG, Jin. Essential bioinformatics. 1st pub. Cambridge: Cambridge University Press, 2006, xi, 339. ISBN 0521600820. info
- Approaches, practices, and methods used in teaching
- Practical exercises in silico, individual project
- Method of verifying learning outcomes and course completion requirements
- Finished individual project, group discussion about projects
- Language of instruction
- Czech
- Further Comments
- Study Materials
The course is taught annually. - Listed among pre-requisites of other courses
- C2138 Advanced bioinformatics
C2135 && NOW(C2139)
- C2138 Advanced bioinformatics
- Enrolment Statistics (recent)
- Permalink: https://is.muni.cz/course/sci/spring2026/C2135