C2135 Bioinformatics for practice

Faculty of Science
Spring 2019
Extent and Intensity
0/2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
prof. RNDr. Michaela Wimmerová, Ph.D. (lecturer)
Mgr. Lenka Malinovská, Ph.D. (seminar tutor)
Mgr. Josef Houser, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Michaela Wimmerová, Ph.D.
Department of Biochemistry - Chemistry Section - Faculty of Science
Supplier department: Department of Biochemistry - Chemistry Section - Faculty of Science
Mon 18. 2. to Fri 17. 5. Thu 10:00–11:50 A4-118
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.
fields of study / plans the course is directly associated with
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.
  • 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.
Teaching methods
homework, practical exercises in silico, individual project
Assessment methods
own project finished, oral discussion
Language of instruction
Further Comments
Study Materials
The course is taught annually.
Listed among pre-requisites of other courses
The course is also listed under the following terms Spring 2011 - only for the accreditation, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2020.
  • Enrolment Statistics (Spring 2019, recent)
  • Permalink: https://is.muni.cz/course/sci/spring2019/C2135