Systems Biology - 136037
Determination of the grade according to progress during the semester and a final examination.
||Differential and Integral Calculus 1||
Through This Course We Will Learn How to Describe Biological Systems as Information Processing Systems, and How to Analyze Them Mathematically to Understand Their Function. We Will Learn a Framework for Analysis of Biological Network Dynamics, Study Network Motifs and Their Functions, and Analyze Sensory Systems and Covalent Modification Systems. Various Biological Processes Will Be Discussed, Including Transcription Regulation, Signal Transduction Pathways, Developmental Patterning, Neural Information Processing, and Sensory Adaptation, Using Examples in Phages, Bacteria, Yeast, Nematodes, Fruit Flies, and Mammalian Cells.
The Course Is Open for Students with Background in Biology, Physics, Chemistry, Computer Science, Or Engineering. Basic Calculus Knowledge Is Required. Matlab Programming Will Be Used But Previous Experience Is Not Required. Students Will Be Evaluated Based on Homework Exercises (30) and Final Exam (70).
By the End of Course,, Students Will:
1. Have Basic Knowledge of Matlab Programming, Including How to Numerically Solve Ode.
2. Be Familiar with Various Network Motifs, Such as Positive/Negative Autoregulation, Coherent/Incoherent Feedforward Loops, Positive/Negative Feedback Loops.
3. Be Able to Analyze Network Motifs, Bth Analytically and Numerically.
4. Understand Functions of Different Network Motifs, Such as Generating Sign Dependent Delays, Speeding Up Or Slowing Down Responses, Generating Spikes, Buffering Input Fluctuations, Inducing Bistability and More.
5. Be Familiar with Models of Signaling Pathways and Models of Neuronal Information Processing.
6. Know How to Challenge Models' Assumptions and How to Compare Models' Performances.
7. Understand the Implication of the Learned Models on Biological Systems and Prcesses, Such as Transcription Regulation in E. Coli and Mammalian Cells, Developmental Patterning in Drosophila, Buffering Input Noise in Yeast, Toggle Switches in Lambda Phage, Information Processing in C. Elegans Sensory Neurons and Robust
|Compulsory||2019||crc press, taylor and francis group||uri alon||an introduction to systems bbiology: design principles of biologicak circuits (second edition)|
| ||2005||the mit press||peter dayan and l. f. abbott||theoretical neuroscience: computational and mathematical modeling of neural systems|
Created in 15/08/2022 Time 06:16:53