6.092 Bioinformatics and Proteomics

January (IAP) 2005

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.)

Course Highlights

This course features a complete set of downloadable lab assignments in the labs section. In addition, an extensive bibliography of assigned and recommended readings is provided in the readings section.

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.

Technical Requirements

MATLAB® software is required to run the .m files found on this course site. Microsoft® Excel software is recommended for viewing the .xls files found on this course site. Free Microsoft® Excel viewer software can also be used to view the .xls files. Any number of software tools can be used to import the .dat files found on this course site. Please refer to the course materials for any specific instructions or recommendations. File decompression software, such as Winzip® or StuffIt®, is required to open the .zip files found on this course site.

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Staff

Instructors:
Prof. Gil Alterovitz
Prof. Manoli Kellis
Prof. Marco Ramoni

Course Meeting Times

Lectures:
Two sessions / week
1.5 hours / session

Labs:
Two sessions / week
1.5 hours / session

Level

Undergraduate / Graduate