Design, implementation and maintenance of a model organism database for Arabidopsis thaliana
2004

Building and Maintaining a Database for Arabidopsis thaliana

publication Evidence: high

Author Information

Author(s): Danforth Weems, Neil Miller, Margarita Garcia-Hernandez, Eva Huala, Seung Y. Rhee

Primary Institution: Carnegie Institution of Washington

Conclusion

The Arabidopsis Information Resource (TAIR) serves as a comprehensive web-based database that integrates various biological data for Arabidopsis thaliana, facilitating research and data access.

Supporting Evidence

  • TAIR has grown dramatically in usage, providing approximately 300 Gb of information to 834,000 unique IP addresses.
  • Currently, TAIR stores 33 Gb of data, including 21,498 publications and over 6 million microarray expression data points.
  • TAIR has made substantial progress in both manual and automated functional annotation of the Arabidopsis genome.

Takeaway

TAIR is like a big library for scientists studying a plant called Arabidopsis. It helps them find and understand lots of information about the plant's genes and other important details.

Methodology

The database was designed in three phases: conceptual design, logical translation, and physical implementation, using community standards and relational database principles.

Digital Object Identifier (DOI)

10.1002/cfg.408

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