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Biomolecular Kinetics and Cellular Dynamics (BE.420J), Fall 2004
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This subject deals primarily with kinetic and equilibrium mathematical models of biomolecular interactions, as well as the application of these quantitative analyses to biological problems across a wide range of levels of organization, from individual molecular interactions to populations of cells.

Subject:
Biology
Life Science
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Tidor, Bruce
Wittrup, Karl
Date Added:
01/01/2004
Foundations of Algorithms and Computational Techniques in Systems Biology, Spring 2006
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CC BY-NC-SA
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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.

Subject:
Biology
Life Science
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Tidor, Bruce
Date Added:
01/01/2006
Topics in Computational and Systems Biology, Fall 2010
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This is a seminar based on research literature. Papers covered are selected to illustrate important problems and approaches in the field of computational and systems biology, and provide students a framework from which to evaluate new developments. The MIT Initiative in Computational and Systems Biology (CSBi) is a campus-wide research and education program that links biology, engineering, and computer science in a multidisciplinary approach to the systematic analysis and modeling of complex biological phenomena. This course is one of a series of core subjects offered through the CSB Ph.D. program, for students with an interest in interdisciplinary training and research in the area of computational and systems biology.

Subject:
Biology
Computer Science
Information Technology
Life Science
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Burge, Christopher
Gilbert, Wendy
Gore, Jeff
Tidor, Bruce
White, Forest
Date Added:
01/01/2010