Systems biology 1000-716BIS
Learning content:
Modeling of genomic instability; models of transposon element proliferation (Fischer spatial model);
Genomic rearrangements, changes in chromatin organization and dysregulation;
Molecular processes on the scale of the proteome (modeling of proteolysis);
Models integrating genetic and metabolomic data;
Models of biochemical reactions (deterministic and stochastic).
Course coordinators
Type of course
Learning outcomes
skills and competences:
- analysis and simulation of biochemical networks at different levels of approximation (K_U23)
-understands the principles of construction of analytical and computer models of natural phenomena (K_U17)
- sees and understands the diversity of regulatory systems in biology (K_W21)
Assessment criteria
Programming projects related to modeling and data mining as a laboratory pass.
The oral exam allows you to pass the lecture.
Bibliography
relevant scientific articles