Foundations of Computational and Systems Biology
As taught in: Spring 2004
Gibbs Sampler - Strong Motif example. (Figure by Prof. Chris Burge.)
Instructors:
Prof. Christopher Burge
Prof. Michael Yaffe
Dr. Peter Woolf
Prof. Amy Keating
MIT Course Number:
7.91J / 7.36J / 20.490J
Level:
Course Features
Course Highlights
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.
This course site includes an extensive listing of bioinformatics tools with links to online resources in the tools section as well as a full set of lecture notes.
Course Description
Serving as an introduction to computational biology, this course emphasizes the fundamentals of nucleic acid and protein sequence analysis, structural analysis, and the analysis of complex biological systems. The principles and methods used for sequence alignment, motif finding, structural modeling, structure prediction, and network modeling are covered. Students are also exposed to currently emerging research areas in the fields of computational and systems biology.
*Some translations represent previous versions of courses.
