6.092 | January IAP 2005 | Undergraduate
Bioinformatics and Proteomics
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 …
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.
Learning Resource Types
notes Lecture Notes
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.)