6.581
Foundations of Algorithms and Computational Techniques in Systems Biology
Spring 2006
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.
Readings
- 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.
Sources
- Course catalogue ↗Historical OpenCourseWare
- MIT OCW syllabus ↗
- Historical MIT OpenCourseWare offering. Named reading entries and schedule topics are automatically extracted from the linked source pages.