Course: Metabolomics and Chemometrics

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Course title Metabolomics and Chemometrics
Course code UCH/751
Organizational form of instruction Lecture
Level of course Bachelor
Year of study not specified
Frequency of the course In academic years starting with an odd year (e.g. 2017/2018), in the summer semester.
Semester -
Number of ECTS credits 3
Language of instruction Czech
Status of course Optional
Form of instruction unspecified
Work placements unspecified
Recommended optional programme components None
Lecturer(s)
  • Šimek Petr, RNDr. CSc.
  • Hill Martin, Ing. CSc.
Course content
Content of lectures: Lectures will be organized in two sections: Introduction to metabolomics. Metabolomics as a part of systems biology, analytical strategies in metabolomics - sample preparation, biological materials, instrumental analysis, data processing tools, metabolite databases, metabolic pathways, metabolomics of biofluids. Chemometrics-informatics in metabolomics: univariate sample, relationships between continuous variable and a set of discrete variables, t-tests, one-way ANOVA, relationships between continuous variables, relationships between continuous dependent variable and a matrix of continuous independent variables, linear regression, relationships between continuous dependent variable and a set of continuous and discrete independent variables, relationships between discrete dependent variable and a set of continuous and discrete independent variables, relationships between discrete variables, multivariate methods, principal component analysis, factor rotation, cluster analysis, software tools for chemometrics a metabolomics - Excel, Statgraphics, Statistica, NCSS, SIMCA; practical applications of chemometric/informatic tools in metabolomics.

Learning activities and teaching methods
  • Class attendance - 64 hours per semester
  • Preparation for classes - 10 hours per semester
  • Preparation for exam - 15 hours per semester
Learning outcomes
Basic chemometric principles and approaches, the most important methods of metabolites analyses.

Prerequisites
unspecified

Assessment methods and criteria
unspecified
Additional information: A dedicated classroom with PC equipment and basic statistical program accessible to every student is a prerequisite
Recommended literature
  • M. Meloun, J. Militký, Kompendium statistického zpracování dat, Academia, 2002.
  • M. Meloun, J. Militký, M. Hill, Počítačová analýza vícerozměrných dat v příkladech, Academia, 200, recentní publikace.
  • M. Meloun, J. Militký, Statistická analýza experimentálních dat, Academia, 2004.


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