Biological Circuit Design¶
Lessons
- 0. Configuring your computer to use Python for scientific computing
- 1. Introduction to Biological Circuit Design
- 2. Introduction to Python for biological circuits
- 3. Big functions from small circuits
- 4. Finding biological circuit motifs
- 5. Analysis of feed forward loops
- 6. Robustness in biological circuits
- 7. Kinetic proofreading: Multi-step processes reduce error rates in molecular recognition
- 8. Blinking bacteria: The repressilator enables self-sustaining oscillations
- 9. Oscillators, part II: Uses, simplifications, and elaborations of negative feedback oscillators
- 10. Gene expression is noisy! How stochastic effects lead to heterogeneity
- 11. Bursty gene expression
- 12. Stochastic simulation of biological circuits
- 13. Stochastic differentiation
- 14. Cellular ‘bet-hedging’
- 15. It’s about time: time-based regulation in cells
- 16. Paradoxical regulation in intra- and intercellular circuits
- 17. Molecular titration generates ultrasensitive responses in biological circuits
- 20. Turing patterns
- 21. Scaling reaction-diffusion patterns
- Appendix A: Regulatory functions and their derivatives