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Prototype implementation of the integrated genomic database

O Ritter1, P Kocab, M Senger

  • 1European Data Resource for Human Genome Research, German Cancer Research Center, Heidelberg.

Computers and Biomedical Research, an International Journal
|April 1, 1994
PubMed
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We developed the Integrated Genomic Database (IGD), an open software system for managing human genome data. It integrates diverse genomic resources for researchers, offering local data analysis and access via specialized clients.

Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Managing and integrating vast amounts of human genome data from disparate sources is a significant challenge for researchers.
  • Existing genomic databases often lack comprehensive integration and user-friendly local data manipulation tools.

Purpose of the Study:

  • To develop an open software system, the Integrated Genomic Database (IGD), for efficient handling of human genome data.
  • To create a comprehensive target-end database (IGD TED) integrating diverse genomic information.
  • To provide user-friendly front-end client systems (IGD FRED) for local data management and analysis.

Main Methods:

  • Development of an Integrated Genomic Database (IGD) comprising a target-end database (TED) and front-end clients (FRED).

Related Experiment Videos

  • Integration of data from major nucleotide and protein sequence databases, genome maps, phenotype data, and experimental resources.
  • Utilizing the ACEDB program for the FRED's database manager, supporting graphical displays and analysis tools.

    • Main Results:

    • The IGD system provides a unified platform for accessing and managing human genome data.
    • IGD TED serves as a read-only resource, consolidating information from multiple external databases.
    • IGD FRED clients offer local data storage, querying, analysis, and visualization capabilities.

    Conclusions:

    • The Integrated Genomic Database (IGD) system offers a robust solution for managing and analyzing complex human genomic datasets.
    • The system enhances research efficiency by providing integrated access to diverse data and powerful local analysis tools.
    • IGD facilitates data sharing and interoperability through standardized interfaces and data submission tools.