StressDB: A locally installable web-based relational microarray database designed for small user communities
2002

StressDB: A Microarray Database for Small User Communities

publication Evidence: moderate

Author Information

Author(s): Madhusmita Mitra, Nigam Shah, Lukas Mueller, Scuth Pin, Nina Fedoroff

Primary Institution: The Pennsylvania State University

Hypothesis

StressDB is designed to meet the data management needs of small user groups working with microarray data.

Conclusion

StressDB provides a user-friendly, locally installable database for managing microarray data and related biological information.

Supporting Evidence

  • StressDB allows users to manage microarray data over the Internet using a web browser.
  • The database architecture is designed to support detailed queries based on specific experimental conditions.
  • StressDB complies with MIAME v1.0 standards for microarray data.
  • The source code for StressDB will be made freely available for downloading.

Takeaway

StressDB is like a special tool that helps small groups of scientists keep track of their plant gene data easily.

Methodology

StressDB uses Oracle 8i as its database management system and is built on a Windows 2000 platform, allowing users to manage and analyze microarray data via a web browser.

Limitations

The database is designed for small user groups, which may limit its scalability and flexibility compared to larger public databases.

Digital Object Identifier (DOI)

10.1002/cfg.153

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