6.802 Foundations of Computational and Systems Biology
Provides an introduction to computational and systems biology. Includes units on the analysis of protein and nucleic acid sequences, protein structures, and biological networks. Presents principles and methods used for sequence alignment, motif finding, expression array analysis, structural modeling, structure design and prediction, and network analysis and modeling. Techniques include dynamic programming, Markov and hidden Markov models, Bayesian networks, clustering methods, and energy minimization approaches. Exposes students to emerging research areas. Designed for students with strong backgrounds in either molecular biology or computer science. Some foundational material covering basic programming skills, probability and statistics is provided for students with less quantitative backgrounds. Students taking graduate version complete additional assignments.
This class counts for a total of 12 credits.
In the Spring 2015 Subject Evaluations, 6.802 was rated 4.3 out of 7.0. You can find more information on MIT OpenCourseWare at the Foundations of Computational and Systems Biology site or on the 6.802 Stellar site.
© Copyright 2015 Yasyf Mohamedali