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HugeIndex: a database with visualization tools for high-density oligonucleotide array data from normal human tissues.

Peter M Haverty1, Zhiping Weng, Nathan L Best

  • 1Bioinformatics Program, Boston University, 44 Cummington Street, Boston, MA 02115, USA.

Nucleic Acids Research
|December 26, 2001
PubMed
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The Human Gene Expression (HuGE) Index database provides a public resource for normal human tissue gene expression data. Researchers can access and visualize this data to study gene expression variations in healthy physiological processes.

Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • High-density oligonucleotide arrays are crucial for global gene expression analysis in diseases.
  • Understanding gene expression in normal physiology is essential for disease research.
  • Existing resources may not comprehensively cover normal human tissue gene expression profiles.

Purpose of the Study:

  • To establish a public repository for gene expression data from normal human tissues.
  • To provide researchers with tools for querying and visualizing gene expression data.
  • To facilitate the study of normal gene expression patterns for comparative analysis.

Main Methods:

  • Utilized high-density oligonucleotide arrays for gene expression profiling.
  • Collected and curated gene expression data from 19 normal human tissues.

Related Experiment Videos

  • Developed the Human Gene Expression (HuGE) Index database (www.HugeIndex.org).
  • Integrated interactive online tools for data access and visualization.
  • Cross-referenced array genes with NCBI LocusLink database for annotation.

    • Main Results:

    • The HuGE Index database contains data from 59 gene expression experiments.
    • The database covers gene expression profiles across 19 distinct normal human tissues.
    • Interactive tools enable efficient data querying and visualization over the internet.

    Conclusions:

    • The HuGE Index database serves as a valuable public resource for normal human gene expression data.
    • This resource aids researchers in understanding baseline gene expression, crucial for disease state analysis.
    • The integrated tools and cross-referencing enhance data usability and facilitate research.