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CaGE: cardiac gene expression knowledgebase.

Michael Bober1, Kevin Wiehe, Christina Yung

  • 1Whitaker Biomedical Engineering Institute, Center for Computational Medicine & Biology, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA. mbbober@pol.net

Bioinformatics (Oxford, England)
|July 16, 2002
PubMed
Summary
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CaGE is a Cardiac Gene Expression knowledgebase that integrates multiple data sources to analyze genes crucial for human heart function. This searchable web resource provides easy access to cardiac gene expression data for researchers.

Area of Science:

  • Genomics
  • Cardiovascular Biology
  • Bioinformatics

Background:

  • Human cardiac gene expression is critical for understanding heart function and disease.
  • Existing databases lack comprehensive integration of cardiac-specific gene expression data.
  • The Cardiac Gene Expression (CaGE) knowledgebase was developed to address this gap.

Purpose of the Study:

  • To create a centralized, searchable knowledgebase for human cardiac gene expression.
  • To facilitate the analysis of genes involved in human cardiac function.
  • To integrate diverse datasets including gene expression, phenotypic, and locus information.

Main Methods:

  • Integration of LocusLink database functionality.
  • Inclusion of data from human cardiac expression libraries.

Related Experiment Videos

  • Incorporation of phenotypic data from OMIM.
  • Utilization of data from large-scale microarray gene expression studies.
  • Development of intuitive web-based query interfaces.

    • Main Results:

    • A comprehensive knowledgebase of gene expression in human cardiac tissue has been established.
    • The CaGE knowledgebase is fully searchable via the web.
    • Search results are presented in concise, easy-to-navigate formats.
    • Facilitates analysis of genes critical to human cardiac function.

    Conclusions:

    • CaGE provides a valuable, integrated resource for researchers studying human cardiac gene expression.
    • The knowledgebase simplifies the exploration of cardiac-related genes and their expression patterns.
    • CaGE enhances the ability to analyze genes important to human cardiac function through accessible data integration.