← Revision 11 as of 2008-08-19 20:17:46
1469
Comment:
|
← Revision 12 as of 2008-08-19 20:19:57 →
1455
|
Deletions are marked like this. | Additions are marked like this. |
Line 20: | Line 20: |
Describe each step (story), the GUI action to take, and probable remarks | |
Line 22: | Line 22: |
|| || || || | ||Load your network||Load the session file attached to this page|| || |
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: CyOog: http://www.biotec.tu-dresden.de/schroeder/group/powergraphs
GUI steps:
Story |
Action |
Remarks |
Load your network |
Load the session file attached to this page |
|
Data / Session Files: Attach (preferably) a session file or else the data files used in the workflow
Presentation: Attach your presentation
Webstart:
http://www.biotec.tu-dresden.de/schroeder/group/powergraphs/download_cyplugin.html
It is still necessary to load session file separately!