Foundations of algorithms and computational techniques in systems biology
Master
In Maynard (USA)
Description
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Type
Master
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Location
Maynard (USA)
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Start date
Different dates available
This subject describes and illustrates computational approaches to solving problems in systems biology. A series of case-studies will be explored that demonstrate how an effective match between the statement of a biological problem and the selection of an appropriate algorithm or computational technique can lead to fundamental advances. The subject will cover several discrete and numerical algorithms used in simulation, feature extraction, and optimization for molecular, network, and systems models in biology.
Facilities
Location
Start date
Start date
Reviews
Subjects
- Computational
- Systems
- Simulation
- Biology
- Algorithms
Course programme
Lectures: 2 sessions / week, 1.5 hours / session
Schlick, T. Molecular Modeling and Simulation: An Interdisciplinary Guide. New York, NY: Springer, 2002. ISBN: 9780387954042.
Allen, M. P., and D. J. Tildesley. Computer Simulation of Liquids. New York, NY: Oxford University Press, 1989. ISBN: 9780198556459.
Trefethen, L. N., and D. Bau, III. Numerical Linear Algebra. Philadelphia, PA: SIAM, 1997. ISBN: 9780898713619.
Branden, C.-I., and J. Tooze. Introduction to Protein Structure. 2nd ed. New York, NY: Routledge, 1999. ISBN: 9780815323051.
Bertero, M., and P. Boccacci. Introduction to Inverse Problems in Imaging. New York, NY: Taylor & Francis, 1998. ISBN: 9780750304399.
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Foundations of algorithms and computational techniques in systems biology