C2131en Introduction to bioinformatics

Přírodovědecká fakulta
jaro 2025
Rozsah
2/1/0. 5 kr. Ukončení: zk.
Vyučováno kontaktně
Vyučující
Mgr. Josef Houser, Ph.D. (přednášející)
Mgr. Lenka Malinovská, Ph.D. (přednášející)
prof. RNDr. Michaela Wimmerová, Ph.D. (přednášející)
Garance
prof. RNDr. Michaela Wimmerová, Ph.D.
Národní centrum pro výzkum biomolekul – Přírodovědecká fakulta
Dodavatelské pracoviště: Národní centrum pro výzkum biomolekul – Přírodovědecká fakulta
Předpoklady
Basic knowledge of biomacromolecules (proteins, nucleic acids).
Omezení zápisu do předmětu
Předmět je otevřen studentům libovolného oboru.
Cíle předmětu
The goal of this course is acquiring of basic knowledge of bioinformatics and its potential practical usage. The course will be focused on nucleic acids (including RNA) and proteins. However, other biomolecules as carbohydrates and lipids (which are usually neglected) will be discussed as well. The course will also deal with posttranslational modifications and their predictions that could be crucial for physiological functions of proteins. Students will also acquire basic knowledge of small molecules which are frequently important interaction partners of biomacromolecules. Also, the processing of large quantity of bioinformational data will be discussed. The course will also introduce specific bioinformational tools and programs which will be used and taught in the concurrent seminar.
Výstupy z učení
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.
Osnova
  • 1) Introduction. Organizational information. Recommended literature. History of bioinformatics. Basics of information search. Bioinformatical data.
    2) Nucleic acids. Composition, structure and function of nucleic acids. Base pairing, double helix. Genetic information, gene, genetic code. Reading frames. Nucleic acid sequences, nucleic acid databases.
    3) Proteins. Composition, structure and function of proteins. Proteogenic amino acids. Non-standard amino acids in proteins. Amino acid nomenclature, abbreviations. Translation. Protein sequences, protein databases. Protein structure determination, structural databases.
    4) Alignment. Molecular phylogeny. Phylogeny data. Trees and methods of their building-up.
    5) Gene and promotor prediction. Prokaryotes. Eukaryotes. Prediction based on sequence homology, ab initio prediction. Tools and programs for gene prediction.
    6) Tools for nucleic acid analysis. Palindromes. Restrictases. Restrictase on-line databases. PCR. Primer design.
    7) RNA properties and tools for their prediction. RNA structure prediction. RNA bioinformatics.
    8) Prediction of protein properties. Prediction of protein basic properties and localization. Prediction of posttranslational modifications. Prediction of interacting partners.
    9) 2D, 3D and 4D protein structure prediction. Coordinates. Formats. Visualization tools.
    10) Saccharides and lipids. Structure, importance and function. Bioinformatical potential of saccharides. Glycoproteins and their encoding in genome. Nomenclature and graphical representation. Databases and tools for glyco- and lipido- bioinformatics.
    11) Small molecules. Importance, function, databases.
    12) Experimental methods. Their relation to bioinformatics, overlap between bioinformatics and laboratory praxis.
Literatura
    doporučená literatura
  • SELZER, Paul M., Richard J. MARHÖFER a Andreas ROHWER. Applied bioinformatics : an introduction. 1st pub. in Germen under the. Berlin: Springer, 2008, xiv, 287. ISBN 9783540727996. info
  • XIONG, Jin. Essential bioinformatics. 1st pub. Cambridge: Cambridge University Press, 2006, xi, 339. ISBN 0521600820. info
Výukové metody
Lectures, presentations by invited professionals, class exercises.
Metody hodnocení
Oral exam.
Vyučovací jazyk
Angličtina
Předmět je zařazen také v obdobích jaro 2023.
  • Statistika zápisu (nejnovější)
  • Permalink: https://is.muni.cz/predmet/sci/jaro2025/C2131en