Differences between revisions 8 and 9
Revision 8 as of 2008-08-19 18:31:11
Size: 1342
Editor: f053083044
Comment:
Revision 9 as of 2008-08-19 20:04:55
Size: 1329
Editor: f053083044
Comment:
Deletions are marked like this. Additions are marked like this.
Line 4: Line 4:
''Biotechnology Center, Dresden University of Technology (BIOTEC, TU Dresden)'' ''Biotechnology Center, Technische Universität Dresden, Germany''

Power Graph Analysis with CyOog

Matthias Reimann

Biotechnology Center, Technische Universität Dresden, Germany

Biological Use Case:

General: Analysis of gigantic biological networks like protein interaction networks, sequence homology networks, or regulatory networks. The information you are looking for in such networks is hidden by a big mass of edges -- inside a 'fur ball' or 'hairy monster'. Instead of loosing valuable details in the networks by coarse-graining them using clustering techniques, Power Graph Analysis can be used. A power graph is a compressed version of a normal graph. The used transformation is completely reversible.

Example described here: Finding functional relationships among transcription factors in a huge regulatory network.

Recipe

Cytoscape version: Version number (2.6)

Plugins to Load: Plugins and urls

GUI steps:

Describe each step (story), the GUI action to take, and probable remarks

Story

Action

Remarks

Data / Session Files: Attach (preferably) a session file or else the data files used in the workflow

Presentation: Attach your presentation

Webstart: Attach a webstart

Video: Attach a video link

CyOogPowerGraphAnalysisRecipe (last edited 2009-02-12 01:03:02 by localhost)

Funding for Cytoscape is provided by a federal grant from the U.S. National Institute of General Medical Sciences (NIGMS) of the Na tional Institutes of Health (NIH) under award number GM070743-01. Corporate funding is provided through a contract from Unilever PLC.

MoinMoin Appliance - Powered by TurnKey Linux