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Related Experiment Videos

Argus--a new database system for Web-based analysis of multiple microarray data sets.

J Comander1, G M Weber, M A Gimbrone

  • 1Center for Excellence in Vascular Biology, Vascular Research Division, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA.

Genome Research
|September 7, 2001
PubMed
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Argus is a novel database software system that processes, analyzes, manages, and publishes microarray data. It facilitates biological insights by enabling web-based querying and analysis of gene expression across multiple experiments.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Microarray technology generates vast amounts of gene expression data (>10^5 data points).
  • Efficient data processing and analysis tools are crucial for extracting biological insights from this data.

Purpose of the Study:

  • To present Argus, a novel microarray database software system.
  • To provide a versatile platform for processing, analyzing, managing, and publishing microarray data.

Main Methods:

  • Argus imports microarray spot intensities and images.
  • It performs data normalization and calculates gene expression ratios.
  • The system supports local and web-based querying for data analysis and web-publishing.

Main Results:

Related Experiment Videos

  • Argus enables searching for regulated genes across multiple experiments with integrated image data for artifact screening.
  • Query results are presented in gene- or clone-oriented formats, with scatterplots for ratio interpretation.
  • Optimized algorithms enhance query response times, and supporting databases are easily updated.

Conclusions:

  • Argus offers a unique combination of features for comprehensive microarray data management and analysis.
  • The software facilitates rapid identification of regulated genes and supports higher-order analyses.
  • Argus is available for download, promoting wider adoption in gene expression research.