# Bioinformatics and Proteomics

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)

Prof. Gil Alterovitz

Prof. Manolis Kellis

Prof. Marco Ramoni

### MIT Course Number

6.092

### As Taught In

January IAP 2005

### Level

Undergraduate / Graduate

###

Some Description
Instructor(s) | Prof.
As Taught In | Spring 2002
Course Number | 2.24
Level | Undergraduate/Graduate
Features | Lecture Notes, Student Work

## Course Description

## Course Features

- Selected lecture notes

## 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.

## Related Content

## Course Collections

See related courses in the following collections:

### Find Courses by Topic

- Biology > Proteomics
- Biological Engineering > Computational Biology
- Computer Science > Data Mining

Gil Alterovitz, Manolis Kellis, and Marco Ramoni. 6.092 Bioinformatics and Proteomics. January IAP 2005. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: Creative Commons BY-NC-SA.

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