Bioinformatics and Proteomics

3-D visualization of the human massome of protein interactions.

Fruchterman-Reingold Force-directed placement algorithm-based 3-D visualization of the human massome of protein interactions. Red=Proteins, Blue=Interactions. (Image by Prof. Gil Alterovitz.)

Instructor(s)

MIT Course Number

6.092

As Taught In

January IAP 2005

Level

Undergraduate / Graduate

Cite This Course

Course Features

Course Description

This interdisciplinary course provides a hands-on approach to students in the topics of bioinformatics and proteomics. Lectures and labs cover sequence analysis, microarray expression analysis, Bayesian methods, control theory, scale-free networks, and biotechnology applications. Designed for those with a computational and/or engineering background, it will include current real-world examples, actual implementations, and engineering design issues. Where applicable, engineering issues from signal processing, network theory, machine learning, robotics and other domains will be expounded upon.

Alterovitz, Gil, Manolis Kellis, and Marco Ramoni. 6.092 Bioinformatics and Proteomics, January IAP 2005. (MIT OpenCourseWare: Massachusetts Institute of Technology), http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-092-bioinformatics-and-proteomics-january-iap-2005 (Accessed). License: Creative Commons BY-NC-SA


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