Data%20integration%20

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A visualization tool for high level relationship
and clustering analysis in networks

• Data integration knowledge management group
• Structural and Computational Biology unit

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• Pajek (V. Batagelj 1998)
• Medusa (Sean D. Hooper 2005)
• Ondex (Kohler J 2006)
• Other programs
• Osprey (Breitkreutz 2003)
• Cytoscape (Shannon 2003)
• MAPMAN (Thimm 2004)
• Shark (Pinney 2005)
• CNPlot (Batada 2004)

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• Flexible 3D interactive visualization tool for
  heterogeneous data types
• Clustering Analysis
• Simple and generic way for data input
• Example of input file
• Extraction of connections
• Direct Connection
• Indirect Connection

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Outline

• Lets see how it works

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• Rewriting big part of the code
• 5 clustering algorithms were added
• Detection of indirect connetions
• Allowing rotations of the layers around
  themselves
• Integrated tree viewers like ATV

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• Performance improvement (faster lower memory)
• Much better graphics
• VRML compatibility
• Crossovers was solved by
• Allowing specific rotations to
• each layer

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Biology oriented
AKS proceeds as a regular search engine that
looks for desired query terms into existing
scientific knowledge it also performs a
conceptual search, meaning that whether the terms
found possess a relevant biological meaning, the
system will retrieve all documents where that
term is present in any of its conceptual
definitions
SRS is a platform for life-science database and
application integration, providing rapid, easy
and user-friendly access to the large volumes of
diverse data stored in over 1000 internal and
public domain databases.
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Acknowledgements
Reinhard Schneider (Group Leader)
Venkata Satagopam (SRS administrator)
Theodoros Soldatos (Text mining)
Evangelos Pafilis (Web Services)
Seán O'Donoghue
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Acknowledgements
Thank you!