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Data management and analysis for gene expression arrays
O Ermolaeva1, M Rastogi, K D Pruitt
1Cancer Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA.
Nature Genetics
|September 10, 1998
Summary
ArrayDB is a new information system for managing and analyzing gene expression data from microarrays. It offers flexible data input, retrieval, and analysis to aid in interpreting complex experimental results.
Area of Science:
- Genomics
- Bioinformatics
Background:
- Microarray technology enables simultaneous study of thousands of gene expressions.
- Managing and analyzing large-scale gene expression data presents significant challenges.
Purpose of the Study:
- To develop an information system, ArrayDB, for efficient management and analysis of large-scale gene expression data.
- To facilitate the interpretation of complex hybridization results through flexible data handling and analysis tools.
Main Methods:
- Development of a relational database for flexible data input and storage.
- Implementation of a web-browser interface for data retrieval and report generation.
- Integration of ArrayDB with external resources like NCBI's Entrez, UniGene, and KEGG pathways.
Main Results:
- ArrayDB provides robust options for data storage, retrieval, and analysis.
- The system supports the generation of standard and customized reports.
- Integrated gene expression reports are generated by linking array target sequences with external databases.
Conclusions:
- ArrayDB offers a flexible and powerful solution for managing and analyzing large-scale gene expression data.
- The integration of external information resources is crucial for interpreting complex patterns in gene expression data.