Omics Technologies

Department
  • Master's Program Biotechnology
Course unit code
  • BT_MA20_3_2
Number of ECTS credits allocated
  • 3.0
Name of lecturer(s)
  • Dr. Weinberger Klaus
Mode of delivery
  • face-to-face
Recommended optional program components
  • none
Recommended or required reading
  • Lesk AM. Introduction to genomics. Oxford University Press 2017
    Passos GA. Transcriptomics in health and disease. Springer 2014
    Wyatt P. Proteomics - Principles, techniques, and analysis. Syrawood 2018
    Sussulini A. Metabolomics: From fundamentals to clinical applications. Springer 2017
    Voit EO. A first course in systems biology. Garland Science 2017
Assessment methods and criteria
  • Course immanent examination
Level of course unit
  • Master
Year of study
  • Fall 2025
Semester when the course unit is delivered
  • 3
Language of instruction
  • English
Learning outcomes of the course unit
  • In this course, students are familiarised with multiplexed bioanalytical platforms, the so-called omics technologies, the biostatistics and bioinformatics tools needed for managing and analysing the data sets, and the impact of the results on biomarker development and validation. To this end, the course will cover the four major platforms, i.e. genomics, transcriptomics, proteomics, and metabolomics, and evaluate their completeness, standardisation, the qualitative or quantitative nature of the data, the functional annotation of the analytes and, eventually, their relevance for pathobiochemical insights and diagnostic/prognostic tests.
Course contents
  • - Omics technologies and information flow in systems biology
    - Genomics (with a special focus on genetic variability in humans)
    - Transcriptomics (array and NGS-based approaches, data visualisation and interpretation)
    - Analytical platforms and workflows for proteins and metabolites (NMR, MS)
    - Proteomics (top-down and bottom-up, identification and quantitation)
    - Metabolomics (targeted and non-targeted, identification and quantitation)
    - Biomarker discovery and validation, quality criteria, multi-omics approaches
Planned learning activities and teaching methods
  • Lecture accompanied by problem-oriented discussions and student's presentations
Work placement(s)
  • none

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