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Related Experiment Videos

The Botany Array Resource: e-Northerns, Expression Angling, and promoter analyses.

Kiana Toufighi1, Siobhan M Brady, Ryan Austin

  • 1Department of Botany, University of Toronto, 25 Willcocks Street, Toronto, ON, M5S 3B2 Canada.

The Plant Journal : for Cell and Molecular Biology
|June 18, 2005
PubMed
Summary
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The Botany Array Resource archives Arabidopsis thaliana microarray data and offers tools for analysis. This public database facilitates gene expression research and discovery.

Area of Science:

  • Plant biology
  • Bioinformatics
  • Genomics

Background:

  • Microarray data is crucial for understanding gene expression in plants.
  • Publicly accessible databases are essential for data sharing and collaborative research.
  • Standardized data formats improve data integration and analysis.

Purpose of the Study:

  • To establish a comprehensive resource for Arabidopsis thaliana microarray data.
  • To provide user-friendly tools for data mining and analysis.
  • To ensure data accessibility and adherence to Minimum Information About a Microarray Experiment standards.

Main Methods:

  • Archiving and organizing microarray data for Arabidopsis thaliana.
  • Developing a web-based interface for data access and visualization.

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  • Implementing data-mining tools such as Expression Browser, Expression Angler, and Promomer.
  • Ensuring compliance with the Minimum Information About a Microarray Experiment convention.

    • Main Results:

    • A publicly available database (http://bbc.botany.utoronto.ca) hosting Arabidopsis thaliana microarray data.
    • Integrated biologist-friendly tools for data viewing and mining.
    • Associated experimental details for all expression data.
    • Searchable database with sophisticated yet understandable output graphics.

    Conclusions:

    • The Botany Array Resource effectively provides access to and tools for analyzing Arabidopsis thaliana microarray data.
    • The resource promotes data sharing and facilitates gene expression research.
    • Adherence to MIAME standards ensures data quality and interoperability.