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Related Experiment Videos

Ovarian gene database.

K M Wasson1, A J Hsueh

  • 1Division of Reproductive Biology, Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, California 94305-5317, USA.

Journal of the Society for Gynecologic Investigation
|February 27, 2001
PubMed
Summary
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The Ovarian Kaleidoscope database organizes gene information for ovarian research. This online resource aids scientists in navigating complex genetic data, improving understanding of ovarian function and disease.

Area of Science:

  • Reproductive Biology
  • Genomics
  • Bioinformatics

Background:

  • The human genome sequencing project generated vast amounts of genetic data.
  • Reproductive biologists face challenges in accessing and interpreting ovarian gene information.
  • Existing resources are fragmented, hindering comprehensive ovarian research.

Purpose of the Study:

  • To create a centralized, accessible online database for ovarian gene information.
  • To assist researchers in understanding gene localization, function, and regulation in the ovary.
  • To facilitate the integration of genetic data with physiological and clinical information.

Main Methods:

  • Development of the Ovarian Kaleidoscope database.
  • Integration of data from GenBank and other sequence databases.

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  • Implementation of a searchable interface with multiple query options.

    • Main Results:

    • The Ovarian Kaleidoscope database provides comprehensive information on ovarian gene function, expression, and regulation.
    • It links to PubMed and sequence databases, offering a gateway to related resources.
    • The database is searchable by gene name, function, cell type expression, and phenotype association.

    Conclusions:

    • The Ovarian Kaleidoscope database effectively consolidates and presents ovarian gene data.
    • It serves as a valuable tool for reproductive biologists, streamlining research.
    • Enhanced accessibility to genetic information supports advancements in understanding ovarian biology and disease.