M.Sc. Bioinformatics

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Focus Area "Complex Systems"

Sophisticated techniques for modeling, simulation, and analysis of complex networks and dynamic processes pave the way for understanding systems ranging from molecular interaction networks to ecosystems. They are the focus of this specialization area.

The following modules are mandatory in this area:

The qualification objectives are a deeper understanding of fundamental mathematical and algorithmic concepts in the field of modeling, simulation and analysis of complex biological systems against the background of current research trends in system biology and biotechnology.

Topics from the following areas are considered in depth:

  • Network structure analysis
  • Graphical modeling
  • Modeling of biochemical networks using standard differential equations
  • Discrete modeling of regulatory networks
  • Constraint-based modeling
  • Stochastic and hybrid modeling

Based on selected current examples from biology and physiology, the work steps involved in acquiring, processing, preparing and evaluating data up to the point of modeling of complex physiological contexts are developed in theory and practice. Models from the following areas are considered in depth:

  • Fundamental biophysical and biochemical processes (e.g., free and facilitated diffusion through channel and transport proteins, active ion transport through membrane transporters, receptor-ligand interaction, interaction between structural and motor proteins)
  • Structural and functional analysis of transport proteins
  • Biological networks (e.g., signaling networks, metabolic networks, transporter models)
  • Modeling of physiological functions of an organism (e.g., transportation of substances to the kidneys, muscle movement, temperature regulation, circadian rhythm)