ANALYZING GENE EXPRESSION FOR CANCER GENE DISCOVERY

Information

  • Research Project
  • 2869178
  • ApplicationId
    2869178
  • Core Project Number
    R43CA081891
  • Full Project Number
    1R43CA081891-01
  • Serial Number
    81891
  • FOA Number
    PAR-98-066
  • Sub Project Id
  • Project Start Date
    3/1/1999 - 25 years ago
  • Project End Date
    2/29/2000 - 24 years ago
  • Program Officer Name
    HEATH, ANNE K
  • Budget Start Date
    3/1/1999 - 25 years ago
  • Budget End Date
    2/29/2000 - 24 years ago
  • Fiscal Year
    1999
  • Support Year
    1
  • Suffix
  • Award Notice Date
    3/1/1999 - 25 years ago
Organizations

ANALYZING GENE EXPRESSION FOR CANCER GENE DISCOVERY

Gene expression analyses generate manipulation, and analysis. We propose to develop object-oriented, CORBA-compliant database software that is extensible and generally applicable to all array-based gene expression studies. We will design an object model to store and manage user-defined experimental variables and related data sets. We will incorporate CORBA-compliant client software to allow large, distributed research groups to distribute and share data. We will develop a query engine to filter quantitatively and qualitatively the stored expression data for those genes that display expression patterns of interest. Our software will help researchers to tailor these tools to the specific demands of their research interests and to automate the analysis of large expression projects. Finally, we will develop gene regulation modeling tools with which the researcher will develop hypotheses of gene regulation and will test those hypotheses against available expression data. Thus, we are proposing a flexible, integrated, and distributed software architecture for storing, manipulating, and analyzing array-based gene expression data using emerging industrial standards. PROPOSED COMMERCIAL APPLICATIONS: The software developed with this grant will be applied to manage and interpret data resulting from pharmaceutical, biomedical or basic research that employs array-based gene expression detection. It could also be used with expression-based disease diagnostic tests to compare test results to previously known diseased expression profiles.

IC Name
NATIONAL CANCER INSTITUTE
  • Activity
    R43
  • Administering IC
    CA
  • Application Type
    1
  • Direct Cost Amount
  • Indirect Cost Amount
  • Total Cost
  • Sub Project Total Cost
  • ARRA Funded
  • CFDA Code
    396
  • Ed Inst. Type
  • Funding ICs
  • Funding Mechanism
  • Study Section
    ZCA1
  • Study Section Name
  • Organization Name
    GENOMICA CORPORATION
  • Organization Department
  • Organization DUNS
  • Organization City
    BOULDER
  • Organization State
    CO
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    80303
  • Organization District
    UNITED STATES