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| ''Biotechnology Center,[BR] Dresden University of Technology (BIOTEC, TU Dresden)'' | ''Biotechnology Center, Dresden University of Technology (BIOTEC, TU Dresden)'' |
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| '''__Biological Use Case__''': Describe a real biological problem. |
'''__Biological Use Case__''': 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. |
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| ''__Cytoscape version__'': Version number (2.6) | ''__Cytoscape version__'': Version number (2.6) |
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| '''__Data / Session Files__''': Attach (preferably) a session file or else the data files used in the workflow | |
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| '''__Presentation__''': Attach your presentation |
'''__Data / Session Files__''': Attach (preferably) a session file or else the data files used in the workflow '''__Presentation__''': Attach your presentation |
Power Graph Analysis with CyOog
Matthias Reimann
Biotechnology Center, Dresden University of Technology (BIOTEC, TU Dresden)
Biological Use Case: 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 |
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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