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StressDB: a locally installable web-based relational microarray database designed for small user communities.

Madhusmita Mitra1, Nigam Shah, Lukas Mueller

  • 1519 Wartik Laboratory, The Pennsylvania State University, University Park 16802, Pennsylvania, USA. mxm66@psu.edu

Comparative and Functional Genomics
|July 17, 2008
PubMed
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StressDB is a new microarray database for managing stress-modulated gene data in Arabidopsis. This locally installable, web-based system simplifies data management for researchers using cDNA microarray technology.

Area of Science:

  • Plant biology
  • Bioinformatics
  • Genomics

Background:

  • Microarray technology generates large datasets for gene expression studies.
  • Managing and analyzing plant stress-related gene expression data presents challenges.
  • Existing databases may not cater to specific needs of Arabidopsis stress research.

Purpose of the Study:

  • To develop a dedicated microarray database for Arabidopsis stress studies.
  • To provide a user-friendly, locally installable web-based solution.
  • To facilitate the management of stress-modulated gene data.

Main Methods:

  • Development of StressDB, a relational database.
  • Implementation on Windows 2000 with Oracle 8i.
  • Web-based interface for data management via browser.

Related Experiment Videos

Main Results:

  • StressDB offers a simple and intuitive architecture for cDNA microarray users.
  • Enables management of microarray data and associated biological information.
  • Provides a centralized system for small user groups.

Conclusions:

  • StressDB is a valuable tool for Arabidopsis researchers studying stress-modulated genes.
  • The database simplifies data handling and accessibility.
  • Source-code will be available for wider adoption.