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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
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.
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.
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