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Related Experiment Videos

The Rat Genome Database (RGD): developments towards a phenome database.

Norberto de la Cruz1, Susan Bromberg, Dean Pasko

  • 1Human and Molecular Genetics Center, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI 53213, USA.

Nucleic Acids Research
|December 21, 2004
PubMed
Summary

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This summary is machine-generated.

The Rat Genome Database (RGD) now offers enhanced comparative genomics tools and a phenome database. These advancements help researchers identify disease-related genes using rat models, leading to a significant increase in user engagement.

Area of Science:

  • Genomics
  • Bioinformatics
  • Comparative Genomics

Background:

  • The Rat Genome Database (RGD) supports research in biochemistry, nutrition, pharmacology, and physiology.
  • RGD is developing into a comprehensive phenome database to meet community needs.
  • The rat is a key model organism for studying human pathobiology.

Purpose of the Study:

  • To report on the development of the Rat Genome Database (RGD) towards a phenome database.
  • To enhance data collection, knowledge representation, and comparative genomics tools.
  • To facilitate the identification of genes responsible for disease using rat models.

Main Methods:

  • Improved data collection and integration processes.
  • Implementation of a new ontology and annotation system for knowledge representation.

Related Experiment Videos

  • Addition of quantitative trait loci (QTL) data from rat, mouse, and human for comparative genomics.
  • Development and enhancement of user tools for data browsing and surveying.

    • Main Results:

    • Significant improvements in data collection and integration capabilities.
    • Enhanced knowledge representation through a new ontology and annotation system.
    • Expanded comparative genomics tools with integrated QTL data from multiple species.
    • Over two million page accesses, a four-fold increase in user activity over the past year.

    Conclusions:

    • RGD's development has successfully created a more robust phenome database.
    • Enhanced tools and data integration facilitate research into rat models for human diseases.
    • Future plans include increased annotation and improved comparative analysis tools with more organisms.