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The Stanford Microarray Database.

G Sherlock1, T Hernandez-Boussard, A Kasarskis

  • 1Department of Genetics, Center for Clinical Sciences Research, 269 Campus Drive, Room 2255b, Stanford University, Stanford, CA 94305-5163, USA. sherlock@genome.stanford.edu

Nucleic Acids Research
|January 11, 2000
PubMed
Summary
This summary is machine-generated.

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The Stanford Microarray Database (SMD) archives gene expression data from microarray experiments. It links this data to biological information, facilitating research and public data sharing.

Area of Science:

  • Bioinformatics
  • Genomics
  • Molecular Biology

Background:

  • Microarray technology enables large-scale gene expression profiling.
  • Managing and interpreting vast amounts of microarray data presents significant challenges.
  • Integrating expression data with biological context is crucial for biological discovery.

Purpose of the Study:

  • To establish a centralized repository for microarray data at Stanford University.
  • To enable the public dissemination of published or researcher-released microarray data.
  • To link gene expression data with relevant biological information on DNA elements (genes, clones).

Main Methods:

  • Data storage for raw and normalized microarray experimental results.
  • Development of web interfaces for data retrieval, analysis, and visualization.

Related Experiment Videos

  • Integration with public biological databases such as SGD, YPD, WormPD, Unigene, dbEST, and SWISS-PROT.

    • Main Results:

    • The Stanford Microarray Database (SMD) is operational as a data storage and dissemination platform.
    • SMD successfully connects gene expression data with associated biological information.
    • Researchers can access, analyze, and visualize their microarray data through SMD's web interfaces.

    Conclusions:

    • SMD serves as a vital resource for managing and sharing microarray data.
    • The database enhances biological research by integrating expression data with biological context.
    • SMD promotes data accessibility and reproducibility in genomics research.