PřF:C2135 Bioinformatics for practice - Course Information
C2135 Bioinformatics for practice
Faculty of ScienceSpring 2025
- 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 - Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 40 student(s).
Current registration and enrolment status: enrolled: 0/40, only registered: 11/40, only registered with preference (fields directly associated with the programme): 0/40 - fields of study / plans the course is directly associated with
- Biomolecular Chemistry (programme PřF, N-BCH)
- Chemoinformatics and Bioinformatics (programme PřF, B-BCH)
- Course objectives
- 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.
- Syllabus
- Information search. General search, biological databases, resources for molecular biology information
- 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.
- 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.
- Practical exercise 1. Polymerase chain reaction and agarose electrophoresis
- Practical exercise 2. PCR product isolation, digestion using restriction endonucleases.
- 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
- Teaching methods
- homework, practical exercises in silico, individual project
- Assessment methods
- own project finished, oral discussion
- Language of instruction
- Czech
- Further Comments
- The course is taught annually.
The course is taught: every week. - 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/spring2025/C2135