• DocumentCode
    2590318
  • Title

    A clinical omics database integrating epidemiology, clinical, and omics data for colorectal cancer translational research

  • Author

    Zheng, Ling ; Wang, Li ; Wang, Da ; Deng, Ning ; Lu, Xudong ; Duan, Huilong

  • Author_Institution
    Key Lab. of Biomed. Eng., Zhejiang Univ., Hangzhou, China
  • Volume
    4
  • fYear
    2011
  • fDate
    15-17 Oct. 2011
  • Firstpage
    2031
  • Lastpage
    2035
  • Abstract
    To provide an open translational research platform to narrow the gap between clinical practice and laboratory research of colorectal cancer, we construct a more comprehensive clinical omics database integrating not only clinical and omics data, but also epidemiology data from more than 150 patients. Based on this integrated database, we provide query, integrated view, and data analysis for clinical physicians, molecular biologists, and other researchers related with colorectal cancer translational research, facilitating the investigation of genotype-phenotype correlations in colorectal cancer and the application of basic research results in clinical practice. This paper presents our present work on the clinical omics database. Specifically, we apply EAV-ER model in the concept model design of this integrated database to accommodate the dynamic and sparse nature of biomedical data.
  • Keywords
    cancer; medical information systems; physiological models; query processing; EAV-ER model; clinical data; clinical omics database; clinical physicians; colorectal cancer translational research; data analysis; epidemiology; genotype-phenotype correlations; integrated database; integrated view; molecular biologists; omics data; query; Biological system modeling; Cancer; Data models; Databases; Diseases; History; Object oriented modeling; EAV-ER model; clinical omics database; colorectal cancer; epidemiology; translational research;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Informatics (BMEI), 2011 4th International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-9351-7
  • Type

    conf

  • DOI
    10.1109/BMEI.2011.6098677
  • Filename
    6098677