Bioinformatics and Proteomics
As taught in: January IAP 2005
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.)
Instructors:
Prof. Gil Alterovitz
Prof. Manolis Kellis
Prof. Marco Ramoni
MIT Course Number:
6.092
Level:
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.


