Zoubarev, A., Hamer, K. M., Keshav, K. D., McCarthy, E. L., Santos, J. R. C., Van Rossum, T., McDonald, C., Hall, A., Wan, X., Lim, R., Gillis, J., Pavlidis, P. (September 2012) Gemma: a resource for the reuse, sharing and meta-analysis of expression profiling data. Bioinformatics, 28 (17). pp. 2272-2273. ISSN 1367-4803
Abstract
Gemma is a database, analysis software system and web site for genomics data re-use and meta-analysis. Currently, Gemma contains analyzed data from over 3300 expression profiling studies, yielding hundreds of millions of differential expression results and coexpression patterns (correlated expression) for retrieval and visualization. With optional registration users can save their own data and securely share it with other users. Web services and integration with third-party resources further increase the scope of the tools, which include a Cytoscape plugin.
| Item Type: | Paper |
|---|---|
| Uncontrolled Keywords: | affymetrix ontology geo |
| Subjects: | bioinformatics > genomics and proteomics > annotation bioinformatics > genomics and proteomics > annotation > gene expression profiling annotation bioinformatics > genomics and proteomics |
| CSHL Authors: | |
| Communities: | CSHL labs > Gillis Lab |
| Depositing User: | Matt Covey |
| Date: | 1 September 2012 |
| Date Deposited: | 17 Jan 2013 19:15 |
| Last Modified: | 17 Jan 2013 19:15 |
| PMCID: | PMC3426847 |
| Related URLs: | |
| URI: | https://repository.cshl.edu/id/eprint/27095 |
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