Lecture 8 of 24Lecture Videos1 h 21 min
Introduction to Stochastic Gene Expression
Prof. Jeff Gore · Massachusetts Institute of Technology
Credits and licence
- From
- Systems Biology, Massachusetts Institute of Technology (at MIT OpenCourseWare)
- Licence
- CC BY-NC-SA 4.0, as MIT OpenCourseWare states it. Non-commercial use only.
- Attribution
- Prof. Jeff Gore. Systems Biology. Fall 2014. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu/. License: Creative Commons BY-NC-SA.
- Who can watch
- Teens profiles and older. How courses are placed
All the lectures
- Introduction to the Class and Overview of Topics
- Input Function, Michaelis-Menten kinetics, and Cooperativity
- Autoregulation, Feedback and Bistability
- Synthetic Biology and Stability Analysis in the Toggle Switch
- Oscillatory Genetic Networks
- Graph Properties of Transcription Networks
- Feed-forward Loop Network Motif
- Introduction to Stochastic Gene Expression
- Causes and Consequences of Stochastic Gene Expression
- Stochastic Modeling
- Life at Low Reynolds Number
- Robustness and Bacterial Chemotaxis
- Robustness in Development and Pattern Formation
- Microbial Evolution Experiments and Optimal Gene Circuit Design
- Evolution in Finite Populations
- Clonal Interference and the Distribution of Beneficial Mutations
- Fitness Landscapes and Sequence Spaces
- Evolutionary Games
- Survival in Fluctuating Environments
- Parasites, the Evolution of Virulence and Sex
- Interspecies Interactions
- Ecosystem Stability, Critical Transitions, and Biodiversity
- Dynamics of Populations in Space
- The Neutral Theory of Ecology