Institute for Biocomputation and Physics of Complex Systems of the University of Zaragoza

  • Introduction to Biological Networks: basic concepts, kind of networks; experimental techniques and data sources in systems biology.
  • Solving simple chemical equations:
    • ¬†boolean approach
    • analytical solution of ordinary differential equations (ODEs);
    • graphical analysis of ODEs;
    • numerical integration of ODEs
  • Complex networks: random vs scale-free networks. Motifs.
  • Metabolic Networks. Michaelis-Menten equation, Flux-balance analysis.
  • Transcription Networks; funtional role of simple motifs
  • Network dynamics: boolean networks, Michaelis-Menten, Hills