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Developmental biology and databases: how to archive, find and query gene expression patterns using the world wide web
Organogenesis
|March 13, 2009
Summary
Systems biology leverages vast gene expression data from high-throughput screens and microarray analysis. This review highlights databases and methods for retrieving this crucial genomic and functional information for developmental biology research.
Area of Science:
- Genomics
- Developmental Biology
- Bioinformatics
Background:
- Systems biology has rapidly advanced due to large-scale gene expression data.
- Microarray analysis and in situ hybridization generate terabytes of data.
- This data necessitates robust databases for storage and analysis.
Purpose of the Study:
- To review features of biological databases.
- To identify methods for retrieving gene expression data.
- To connect genomic information with functional data in development.
Main Methods:
- Database interrogation techniques.
- Analysis of gene expression patterns.
- Integration of genomic and functional data.
Main Results:
- Development of numerous online resources for biological data.
- Availability of methods to query large gene expression databases.
- Facilitation of research into embryonic development and organogenesis.
Conclusions:
- Advanced databases and retrieval methods are crucial for systems biology.
- These resources empower biologists to study growth and form.
- The review provides a guide to accessing and utilizing expression data.
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