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Related Experiment Videos

Data management and analysis for gene expression arrays

O Ermolaeva1, M Rastogi, K D Pruitt

  • 1Cancer Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA.

Nature Genetics
|September 10, 1998
PubMed
Summary
This summary is machine-generated.

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ArrayDB is a new information system for managing and analyzing gene expression data from microarrays. It offers flexible data input, retrieval, and analysis to aid in interpreting complex experimental results.

Area of Science:

  • Genomics
  • Bioinformatics

Background:

  • Microarray technology enables simultaneous study of thousands of gene expressions.
  • Managing and analyzing large-scale gene expression data presents significant challenges.

Purpose of the Study:

  • To develop an information system, ArrayDB, for efficient management and analysis of large-scale gene expression data.
  • To facilitate the interpretation of complex hybridization results through flexible data handling and analysis tools.

Main Methods:

  • Development of a relational database for flexible data input and storage.
  • Implementation of a web-browser interface for data retrieval and report generation.
  • Integration of ArrayDB with external resources like NCBI's Entrez, UniGene, and KEGG pathways.

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Main Results:

  • ArrayDB provides robust options for data storage, retrieval, and analysis.
  • The system supports the generation of standard and customized reports.
  • Integrated gene expression reports are generated by linking array target sequences with external databases.

Conclusions:

  • ArrayDB offers a flexible and powerful solution for managing and analyzing large-scale gene expression data.
  • The integration of external information resources is crucial for interpreting complex patterns in gene expression data.