Power Graph Analysis with CyOog

Matthias Reimann

Biotechnology Center, Dresden University of Technology (BIOTEC, TU Dresden)

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

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.

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