Bioinformatics: Applications ZOO 4903 Fall 2006, MW 10: 30 -11: 45 Sutton Hall, Room 312 Jonathan Wren Systems Biology
Lecture overview
Systems Biology – backers & attackers
What is “Systems Biology”?
Institute for Systems Biology
Systems Biology vs. traditional cell and molecular biology
Genomics, Proteomics & Systems Biology
Period
Technologies to study systems at different levels
System heterogeneity in size & timescale
System heterogeneity in size & timescale
Each of the scales does not fit together seamlessly
By 2007 both Intel and AMD are predicting dies with 1 billion transistors In terms of parts and interconnections, man-made devices will likely have comparable complexity to bacterial cells if not greater by around 2010
Building computational models of systems seems more and more like a viable project. Such a project would bring a much clearer understanding of how systems are controlled and ultimately it should bring unprecedented predictive power.
Are Biologists Ready? Xo S 1 S 2 S 3 v S 4 S 5 S 6 X 1
Are Biologists Ready? Xo S 1 S 2 S 3 v S 4 S 5 S 6 X 1
Are Biologists Ready? Xo S 1 S 2 S 3 v S 4 S 5 S 6 X 1
Are Biologists Ready? Xo S 1 S 2 S 3 v S 4 S 5 S 6 X 1
Integrating heterogeneous but related observations
Problems?
SB is springing out of existing efforts anyway
So where do we start?
Features of complex systems
Features of complex systems
Features of complex systems
Features of complex systems
Features of complex systems
Features of complex systems
So where do we start?
Principle 3: Robustness
Aims of systems biology
Aims of systems biology
Aims of systems biology
Aims of systems biology
Aims of systems biology Y = # molecules at time t
Tier 2: Deterministic Models
Tier 2: Deterministic Modeling
Tier 2: Deterministic Modeling
Experimental Design
Distinguish between robust-adaptation and fine-tuned models of chemotaxis
Conclusions from study
Tier 3: Stochastic analysis
Tier 3: Ensemble Noise
Tier 3: Temporal Noise
Tier 3: Spatial Noise
Recap
Software
Software
Summary
For next time
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