CL 663 Introduction to Systems Biology

Complexity in biological systems; Basic concepts of
biological networks; Genetic networks, Transcription
networks, Protein networks; Network motifs;
Deterministic modeling approaches – kinetics, dynamics;
Dynamics of and multiplicity in biological systems –
bistability, oscillations, synchronization; Introduction to
probability; Stochastic modeling approaches –
Introduction, Langevin technique, Master equations,
quasi-steady state approximation; Numerical simulations
– Gillespie algorithm, Monte Carlo simulations;
Fluctuations and robustness; Pattern formation;
Traveling waves in biological systems; Quantitative
experimentation.