
Course8.591J / 7.81J,7.3224 lectures31 h 49 min
Systems Biology
Prof. Jeff Gore · Massachusetts Institute of Technology
About
This course provides an introduction to cellular and population-level systems biology with an emphasis on synthetic biology, modeling of genetic networks, cell-cell interactions, and evolutionary dynamics. Cellular systems include genetic switches and oscillators, network motifs, genetic network evolution, and cellular decision-making. Population-level systems include models of pattern formation, cell-cell communication, and evolutionary systems biology.
Lectures
Lecture Videos
- 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
Syllabus and materials
At MIT OpenCourseWare, as the course publishes them.
Credits and licence
- Institution
- Massachusetts Institute of Technology
- Department
- Physics; Biology
- Teacher
- Prof. Jeff Gore
- Term
- Fall 2014
- Level
- Undergraduate
- Language
- English
- Subjects
- Physics, Biology, Computer science, Engineering
- Source
- MIT OpenCourseWare
- Licence
- CC BY-NC-SA 4.0, as MIT OpenCourseWare states it. Non-commercial use only. MIT OpenCourseWare's terms
- 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
- MIT OpenCourseWare gives no rating. Invisible Network shows it to Teens profiles and older, judged from what the source says about it. How courses are placed
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