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Gemma: a resource for the reuse, sharing and meta-analysis of expression profiling data
Anton Zoubarev1, Kelsey M Hamer, Kiran D Keshav
1Department of Psychiatry and Centre for High-throughput Biology, University of British Columbia, Vancouver, British Columbia, Canada.
Bioinformatics (Oxford, England)
|July 12, 2012
Summary
Gemma provides a comprehensive database and analysis tools for genomics data re-use and meta-analysis. It offers millions of results from over 3300 studies, enabling data sharing and visualization.
Area of Science:
- Genomics
- Bioinformatics
- Computational Biology
Background:
- Gemma is a web-based platform for genomics data analysis and meta-analysis.
- It hosts analyzed data from over 3300 expression profiling studies.
- The platform is available under the Apache 2.0 license at http://chibi.ubc.ca/Gemma.
Purpose of the Study:
- To facilitate genomics data re-use and meta-analysis.
- To provide access to a large repository of analyzed expression profiling data.
- To enable secure data sharing and collaboration among users.
Main Methods:
- Data aggregation from over 3300 expression profiling studies.
- Generation of millions of differential expression results and coexpression patterns.
- Development of a web site, analysis software system, and web services.
Main Results:
- Hundreds of millions of differential expression results and coexpression patterns are available.
- Users can retrieve and visualize genomic data.
- Optional registration allows users to save and securely share their own data.
Conclusions:
- Gemma serves as a valuable resource for genomics research by enabling data re-use and meta-analysis.
- The platform enhances data accessibility and collaboration through its comprehensive database and sharing features.
- Integration with third-party resources, including a Cytoscape plugin, expands its analytical capabilities.
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