Cancer Genomics and Bioinformatics for Toxicogenomics

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Cancer Genomics and Bioinformatics for
Toxicogenomics Track Willy A.
Valdivia-Granda Orion Integrated Biosciences, Inc.
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2004 Estimated US Cancer Deaths
Men290,890
Women272,810
25 Lung bronchus 15 Breast 10 Colon
rectum 6 Ovary 6 Pancreas 4 Leukemia
3 Non-Hodgkin lymphoma 3 Uterine
corpus 2 Multiple myeloma 2 Brain/ONS 24
All other sites
Lung bronchus 32 Prostate 10 Colon
rectum 10 Pancreas 5 Leukemia 5 Non-Hodgkin 4
lymphoma Esophagus 4 Liver intrahepatic 3bil
e duct Urinary bladder 3 Kidney 3 All other
sites 21
ONSOther nervous system. Source American Cancer
Society, 2004.
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? Clustering Classification Visualization Structu
ral Genomics
? Databases MIAME MAGE-ML Ontologies
LARGE SCALE
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• Susanna-Assunta Sansone. EBI. UK ToxicogenOMICS
  Omics standards, resources and data at EBI
• Daniel Rubin, SU Moving Beyond Ontology
  Libraries Integrating and Accessing Biomedical
  Ontologies to Annotate Experimental Data
• Vladimir A. Kuznetsov, GIS. Singapore A
  Scale-Dependent Statistic of Expressed Genes in
  MicroArray Transcriptome Reveals Breast Cancer
  Phenotypes
• Dennis Quan. IBM T. J. Watson Research Center.
  How the Semantic Web Will Revolutionize
  Informatics Data Integration
• Keith Dunker UI. Intrinsic disorder in
  Cell-Signaling and Cancer-associated Proteins
• Susan Wilson. ANU. Australia
• Some Fundamental Considerations in Interpretation
  of Gene-expression Profile Data with Applications
  to Cancer Research