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| 1 | | | | Introduction and Overview. The Problem of Understanding Nonlinearity and Feedback in Biological Networks. |
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| 2 | | | | DNA Computing and Self-Assembly. |
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| 3 | | | | Enzyme Kinetics. Michaelis-Menten Theory. Cooperative Behavior. |
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| 4 | | | | Metabolic Control Analysis. |
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| 5 | | | | General Formalism for Chemical Reaction Networks. Metabolic Flux Analysis. |
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| 6 | | | | Student Presentations. Theory of Chemical Computation. |
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| 7 | | | | Overview of Transcriptional Regulation. Lambda Phage. |
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| 8 | | | | Models of Bistability in Chemical Reaction Networks. |
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| 9 | | | | Demo of Bard Ermentrout's XPP. Chemical Reaction Networks Versus Neural Networks. Global Stability of Symmetric Networks. |
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| 10 | | | | Student Presentations. Synthetic Genetic Networks. |
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| 11 | | | | Oscillations in an Activator-Inhibitor System. Phase Plane Analysis. |
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| 12 | | | | Hodgkin-Huxley Model of the Action Potential. |
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| 13 | | | | Spike Frequency Adaptation and Negative Feedback Linearization. |
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| 14 | | | | Phototransduction. |
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| 15 | | | | Chemotaxis. |
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| 16 | | | | Long-Term Potentiation. |
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| 17 | | | | Circadian Rhythms. |
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| 18 | | | | Stochastic Models of Lambda Phage. |
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| 19 | | | | Molecular Motors. |
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| 20 | | | | Development. |
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| 21 | | | | Cell Cycle. |
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| 22 | | | | Pattern Formation and Slime Molds. |
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| 23 | | | | Cell Sorting. |
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| 24 | | | | Immunity. |
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| 25 | | | | Final Project Presentations. |
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