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cceHUB omicsknowledgebase
Ann Christine Catlin3rd Annual Cancer Care Engineering Retreat
June 20, 2008
An Environment for CCE Research
1. Patient and Control BloodCommunity-based oncology clinicsIUSCC
2. Data Acquisition - OMICS, Prevention, & HSR DataIUSCC - OMICS LabsRegenstrief InstituteOMICS Labs, Purdue University
3. Data Storage/Query CenterPurdue University
4. Integrative Mathematical ModelingStatistics Dept., Purdue University
5. Real-time Visual AnalyticsPURVAC, Purdue University
6. Immediate Analysis & Feedback to Clinicsthe CCE Team
7. Discovery Research Driven by Model PredictionsIUSCCPurdue University
Identify Molecular Signatures for Cancer
the cancercareengineering model
A systems approach to the prevention and treatment of cancer
OMICs Laboratory
Visual Analytics
intensity image viewing
Evaluation of potential bio-markersMass spectra navigationNoise Removal
PCA analysis
Mathematical Modeling
metabolomics dataLECO GCGCMS
PEGCDF
CSV
TXT
Bio-marker region
selection
Comparison analysis
Population-based Modelingweb-based user interface new viewpoints for input & output parameter sweep testing accessibility and usage
educational resources for community-shared learning
papers, online lectures,videos, presentations
Statistical analysis
How do CCE researchers collaborate?
cceHUB supports CCE research
• store and backup all OMICS data
• contribute data from the labs … attach tracking and search keywords to all datasets
• explore lab datasets
• store and backup all modeling tools
• contribute modeling tools ... shared development
• run modeling tools in web browser
• store model results … attach tracking and search keywords to all results
• integrate visualization at every step
the cceHUB omicsknowledgebase
immediate & constant availability for
ALL OMICS DATA
ALL MODELING TOOLS
ALL VISUALIZATION TOOLS
promoting the discovery of relationships
immediate & constant availability for
ALL OMICS DATA
ALL MODELING TOOLS
ALL VISUALIZATION TOOLS
promoting the discovery of relationships
sampleacquisition
omicslaboratoryanalysis
Upload dataStore dataAttach metadata
Explore data Prepare inputTrack model executionStore model resultsAttach metadata
Upload dataStore dataAttach metadata
data linkage visual
analytics
statisticalmodeling predictive
models
visualknowledgediscovery
integrated OMICS analysis
feedback
feedbackfeedback
end-to-end support for the cceModel
cceHUB omicsknowledgebase
What’s at the cceHUB …
Right now …
• Community-shared
• Educational resources
• Modeling tools
• Data storage & backup
• User groups, data privacy, modeling tools privacy
• Help with contributing data and tools
• Much, much more ...
By September 2008 … Lab Data Uploader, Lab Data Tracking
By September 2009 … Data Explorer, Model Tracking
MetadataDatabase
omics datasets database
omicsdatasetomics
datasetomicsdatasetomics
datasetomicsdatasetomics
dataset
omicsdatasetomics
datasetomicsdatasetomics
datasetomicsdatasetomics
dataset
omicsdatasetomics
datasetomicsdatasetomics
datasetomicsdatasetomics
dataset
DATA UPLOADER
DATA EXPLORER
SHARED DATA REPOSITORY : +
store & backup process & store
locate data of interest
Data… storage, tracking, exploration
Supporting more than OMICS …
other CCEKnowledge
Bases
OMICSKnowledge
Base
Health ServicesKnowledge
Base
OMICS
KnowledgeBase
Dabao Zhang, Min ZhangStatistics Department, Purdue University
David Ebert, Wei Chen, Philip LivengoodPURVAC, Purdue University
OMICS Knowledge Base
Contribute Data & ToolsStore & Backup DataExplore DataRun ToolsTrack Data & Tools
Eric Sherere-Enterprise Center, VA CoE, IU HSR
CCE research support
Acknowledgements
• CCE Leadership Team• Marietta Harrison, Joe Pekny, Julie Nagel
• HUB Development Team
• Mike McLennan, Nick Kisseberg, Swaroop Shivarajapura, George Howlett, John Rosheck, Derrick Kearney, Rick Kennel, Shawn Rice
• other members of the OMICS Knowledge Base Group• Seza Orcun, Mourad Ouzzani, Brandi Marshall
• Modeling Groups• Eric Sherer, Dabao Zhang, Min Zhang
• Visual Analytics Group• Dave Ebert, Wei Chen, Philip Livengood
Backup Slides
create a data support framework
The cceHUB is built on the HUB cyberinfrastructure, leveraging its modeling and visualization tools support framework and its community resource-sharing components
Data framework: managing end-to-end analysis: data storage, data tracking, data exploration.
Data Explorer
Process Tracking
Metadata-based Query Retrieval
OMICS Data File Repository Metadata Database
Data Characterization and Tracking
Data Upload Results Capture
What we need to build …