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Lecturer(s)
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Šimek Petr, RNDr. CSc.
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Hill Martin, Ing. CSc.
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Course content
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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.
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Learning activities and teaching methods
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unspecified
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Learning outcomes
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Basic chemometric principles and approaches, the most important methods of metabolites analyses.
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Prerequisites
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unspecified
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Assessment methods and criteria
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unspecified
Additional information: A dedicated classroom with PC equipment and basic statistical program accessible to every student is a prerequisite
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Recommended literature
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M. Meloun, J. Militký, Kompendium statistického zpracování dat, Academia, 2002.
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M. Meloun, J. Militký, M. Hill, Počítačová analýza vícerozměrných dat v příkladech, Academia, 200, recentní publikace.
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M. Meloun, J. Militký, Statistická analýza experimentálních dat, Academia, 2004.
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