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Gemma: a resource for the reuse, sharing and meta-analysis of expression profiling data

by: Anton Zoubarev, Kelsey M. Hamer, Kiran D. Keshav, E. Luke McCarthy, Joseph Roy, Thea Van Rossum, Cameron McDonald, Adam Hall, Xiang Wan, Raymond Lim, Jesse Gillis, Paul Pavlidis
Bioinformatics, Vol. 28, No. 17. (01 September 2012), pp. 2272-2273, doi:10.1093/bioinformatics/bts430  Key: citeulike:10876411

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Abstract

Summary: 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.


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