cceHUB Sharing, Exploring and Analyzing Data An Environment for Collaborative Cancer Research clinical dataobservational & scientific data decision supportcomputation & visualization Ann Christine Catlin 6 th Annual Cancer Care Engineering Retreat
Great Graduate Students ! Ruchith Fernando Lancelot Guoheng Chen Sahan Gamage Sudheera Fernando Puneet Gupta Sumudinie Fernando Preeti Rao Nabeel Yousef
cceHUB Advances in 2001 Clinical Patient Data & Sample Tracking More detailed and more complete data collection : diagnosis, treatment, surgery, follow-up New type of data : behavior lifestyle Customized projects: tissue acquisition
Tissue Acquisition : Clinical Data & Biorepository with Tracking
Data Collection : New Data … More Detailed Data
cceHUB Advances in 2001 Laboratory Data Upload & Tracking Repository size >1 TB Security upgrades Data verification and validation Metadata collection Help with lab uploads … e.g., mass spectrometry data Always looking for ways to make uploads easier, more complete, and more accessible to analysis tools.
Lab #Samples Analyzed % Total Files/ Samples Uploaded Average File Size Analysis Tools at cceHUB Using cceHUB tools ? Bindley Biosciences Global Proteomics %193 files 193 samples 80MBDiscovery Pipeline Results Visualize/Compare > 800 runs through discovery pipeline Teegarden Vitamin D %4 files 225 samples < 1MBVitamin D-Blood Draw - Clinical Data merge for SAS DataView Raftery Metabolomics GCGC-MS %230 files 230 samples 1 GBPeak classification /alignment GCGC-MS Visual Analytics Raftery Metabolomics NMR %2 files 230 samples < 1MB Xu Lipidomics %1 file 143 samples < 1MBLipidomics-BloodDraw- Clinical Data merge for SAS DataView Klaunig TEAC analysis %1 file 259 samples < 1MBTEAC-Blood Draw-Clinical Data merge for SAS DataView Klaunig Comet Assay %1 file 101 samples < 1MBCometAssay-Blood Draw- Clinical Data merge for SAS DataView Klaunig Genotyping Assay --POCRE, MaCH genotype imputation (used by stat group on their own data) Other: Laurie Parker Medicinal Chemistry and Molecular Pharmacology --Maldi Quantifier Laboratory data at cceHUB: Some Statistics
Laboratory data at cceHUB: Metadata
cceHUB Advances in 2001 Analysis Tools / Analysis Data Collections Proteome Discovery Pipeline Analysis Data Viewer Building models & generating results Output collections for tools New tools: MacH, Mach Results Visualization, POCRE, Maldi Quantifier, specialized plotting tools
New Analysis Tools
Analysis Data Viewer
Tool Output Collections for Browsing and Analysis
Collaboration : Sharing Idea for Analysis, Getting Results
Our technology extends to other cancer research workflows Using the HUB cyber infrastructure with cceHUB data technology to further collaborative Cancer Care Engineering Research