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Related Experiment Videos

SAGEmap: a public gene expression resource.

A E Lash1, C M Tolstoshev, L Wagner

  • 1National Center for Biotechnology Information, National Institutes of Health, Bethesda, MD 20894 USA. alash@ncbi.nlm.nih.gov

Genome Research
|July 19, 2000
PubMed
Summary
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A new public repository, SAGEmap, offers online access and analysis for serial analysis of gene expression (SAGE) data. It includes novel statistical methods for differential analysis, enhancing gene expression research.

Area of Science:

  • Bioinformatics
  • Genomics
  • Molecular Biology

Background:

  • Serial Analysis of Gene Expression (SAGE) generates large datasets.
  • Efficient data management and analysis are crucial for SAGE data.
  • Public accessibility to gene expression data accelerates research.

Purpose of the Study:

  • To establish a public repository for SAGE data, named SAGEmap.
  • To provide online tools for data access and analysis.
  • To introduce a novel statistical test for differential SAGE data analysis.

Main Methods:

  • Construction of WWW and FTP sites for SAGE data repository.
  • Development of SAGE tag to gene assignments.
  • Derivation of a novel statistical test for differential analysis of SAGE data.

Related Experiment Videos

Main Results:

  • SAGEmap provides public access to SAGE data via web and FTP.
  • Established procedures for SAGE data submission.
  • Developed and validated a new statistical test for differential gene expression analysis.

Conclusions:

  • SAGEmap serves as a valuable resource for SAGE data.
  • The new statistical test facilitates robust differential expression analysis.
  • Enhanced data accessibility and analysis tools support gene expression research.