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

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. (2012) Gemma: a resource for the reuse, sharing and meta-analysis of expression profiling data. Bioinformatics, 28 (17). pp. 2272-2273. ISSN 1367-4803

URL: http://www.ncbi.nlm.nih.gov/pubmed/22782548
DOI: 10.1093/bioinformatics/bts430

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 Deposited: 17 Jan 2013 19:15
Last Modified: 17 Jan 2013 19:15
PMCID: PMC3426847
Related URLs:
URI: http://repository.cshl.edu/id/eprint/27095

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