Representation and visualization of genetic regulatory networks
Name
227818282-MIT.pdf
Description
Full printable version
Size
7.54 MB
Format
Adobe PDF
Checksum (MD5)
cd5faec84e5673d77a57143e26ea9b0b
Author(s)
Zhao, Dacheng
Advisor(s)
David Gifford.
Date Issued
2004
Publisher
Massachusetts Institute of Technology
Abstract
We present a new framework, Sonnet, for the interactive visualization of large, complex biological models that are represented as graphs. Sonnet provides a flexible representation framework and graphical user interface for filtering and layout, allowing users to rapidly visualize different aspects of a data set. Many previous approaches have required users to write customized software in order to achieve the same functionality. With Sonnet, once features of interest are identified, they can be captured as figures for offline presentation. We demonstrate the application of Sonnet to the visualization and manipulation of transcriptional regulatory networks in yeast. Sonnet is particularly well adapted to this application as native presentation of these networks yields dense and difficult to decipher results.
Description
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.
Includes bibliographical references (leaves 61-65).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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reproduction or distribution in any format is prohibited without written
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