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The Longhorn Array Database (LAD): an open-source, MIAME compliant implementation of the Stanford Microarray Database
Patrick J Killion1, Gavin Sherlock, Vishwanath R Iyer
1Section of Molecular Genetics and Microbiology, Institute for Cellular and Molecular Biology, University of Texas at Austin, Austin, TX 78712-0159, USA.
BMC Bioinformatics
|August 22, 2003
Summary
The Longhorn Array Database (LAD) offers a free, open-source solution for storing and analyzing two-color microarray data. This MIAME-compliant database enhances the power of microarray analysis through systematic data archiving and annotation.
Area of Science:
- Bioinformatics
- Genomics
- Computational Biology
Background:
- Systematic archiving and annotation are crucial for realizing the full potential of microarray analysis.
- Linking data to biological annotations and analysis algorithms is essential for robust interpretation.
Purpose of the Study:
- To introduce the Longhorn Array Database (LAD) as an open-source solution for microarray data management.
- To provide a MIAME-compliant database for the storage and analysis of two-color microarray data.
Main Methods:
- Developed LAD as an open-source version of the Stanford Microarray Database (SMD).
- Utilized PostgreSQL and Linux for database operations.
- Ensured MIAME (Minimum Information About a Microarray Experiment) compliance.
Main Results:
- LAD provides a reliable platform for microarray data storage.
- Facilitates the linking of experimental data with biological annotations.
- Supports the analysis of two-color microarray experiments.
Conclusions:
- LAD offers a simple, free, and open solution for microarray data management.
- The database is a proven tool for reliable storage and analysis.
- Enhances the accessibility and utility of microarray data for researchers.