The Role of Ontology in Big Cancer Data

Date: May 12-13, 2015

Day 1 (10am-5pm) and Day 2 (9am-noon) will be in NIH Building 2, Room 2W23, MSC 0240, Bethesda, MD 20892 Day 2 Afternoon (1-3pm): public session in the Natcher Conference Center, NIH Building 45, Bethesda, MD 20892

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Goal of the meeting

To explore the utility of ontologies for big data-based cancer research

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Areas of interest

• TCGA (e.g. How to expand TCGA to give an enhanced role to proteomics)
• Ontology work (for example using the PRO) on actionable mutations
• Applications to personalized medicine
• IoM new disease taxonomy
• Big Cancer Imaging Data
• Clinical genomics

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Sponsors

• National Cancer Institute Center for Biomedical Informatics and Information Technology (CBIIT)
• National Center for Biomedical Ontology (NCBO)
• National Center for Ontological Research (NCOR)
• Center for Expanded Data Annotation and Retrieval ([CEDAR)

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Participants will include

• Ilya Goldberg (Image Informatics and Computational Biology Unit, National Institute on Aging)
• Sherri de Coronado (National Cancer Institute)
• Peter Elkin (Department of Biomedical Informatics, University at Buffalo)
• Gilberto Fragoso (National Cancer Institute)
• Warren Kibbe (National Cancer Institute / Disease Ontology)
• Mark Musen (Stanford / National Center for Biomedical Ontology and Center for Expanded Data Annotation and Retrieval)
• Darren Natale (Georgetown University / Protein Ontology Consortium)
• Lynn Schriml (Baltimore / Disease Ontology)
• Barry Smith (Buffalo / Open Biomedical Ontologies Foundry)
• John Tomaszewski (Buffalo)
• Cathy Wu (Delaware / Protein Ontology)
• Wenjin J. Zheng (Center for Computational Biomedicine, University of Texas Health Science Center at Houston)