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Related Experiment Videos

YMD: a microarray database for large-scale gene expression analysis.

Kei-Hoi Cheung1, Kevin White, Janet Hager

  • 1Center for Medical Informatics, Department of Anesthesiology, Yale University, New Haven, CT, USA.

Proceedings. AMIA Symposium
|December 5, 2002
PubMed
Summary
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Researchers developed the Yale Microarray Database (YMD) to manage extensive gene expression data from microarray experiments. This system enhances data storage, retrieval, and analysis for collaborative medical research.

Area of Science:

  • Genomics
  • Bioinformatics
  • Medical Research

Background:

  • Microarray technology enables parallel analysis of gene expression patterns.
  • Large-scale gene expression data necessitates robust database systems for efficient management and analysis.
  • Existing systems may not adequately support the integrated data needs of modern biological research.

Purpose of the Study:

  • To develop a comprehensive, Web-accessible database system for managing microarray data.
  • To address the specific needs of microarray researchers at Yale and their collaborators.
  • To facilitate efficient data storage, retrieval, secure access, dissemination, and integrated analysis of gene expression data.

Main Methods:

  • Development of the Yale Microarray Database (YMD) with Web accessibility.

Related Experiment Videos

  • Implementation of features including DNA sample tracking, cross-platform gene comparison, and an image file server.
  • Integration of laboratory-based user management, project management, template data entry, and functional analysis linking.
  • Main Results:

    • YMD provides a centralized platform for managing diverse microarray data.
    • The database supports efficient tracking of samples and identification of common genes across platforms.
    • Features for user management, project organization, and data analysis linkage are operational.
    • YMD is currently undergoing pilot testing in multiple laboratories across different organisms and array platforms.

    Conclusions:

    • The Yale Microarray Database (YMD) effectively addresses the challenges of managing large-scale gene expression data.
    • YMD supports collaborative research by providing secure access, efficient data retrieval, and integrated analysis capabilities.
    • The implemented features facilitate functional analysis and streamline research workflows in genomics and bioinformatics.