Publication | Open Access
NCBI GEO: mining tens of millions of expression profiles--database and tools update
1.5K
Citations
15
References
2006
Year
EngineeringGeneticsPattern DiscoveryPattern MiningGenomicsGene Expression OmnibusBioinformatics DatabaseGene Expression ProfilingText MiningInformation RetrievalData ScienceData MiningMicroarray ExperimentData IntegrationNcbi GeoExpression ProfilesMicroarray Data AnalysisMining TensBiological DatabaseKnowledge DiscoveryOmicsComputer ScienceFunctional GenomicsBioinformaticsFrequent Pattern MiningGene Sequence AnnotationComputational BiologyCombinatorial Pattern MatchingGene Expression PatternsBiological DatabasesStructure MiningSystems BiologyMedicine
The Gene Expression Omnibus (GEO) at NCBI archives and freely disseminates microarray and other high‑throughput data, offers a MIAME‑compliant infrastructure, supports multiple deposit options and formats, and provides user‑friendly web interfaces for exploring, visualizing, and downloading thousands of experiments and tens of millions of gene expression patterns. This paper aims to summarize GEO’s database structure and user facilities and to describe recent enhancements. It details enhancements to database design, performance, submission format options, and data query and retrieval utilities. GEO is accessible at http://www.ncbi.nlm.nih.gov/geo/.
The Gene Expression Omnibus (GEO) repository at the National Center for Biotechnology Information (NCBI) archives and freely disseminates microarray and other forms of high-throughput data generated by the scientific community. The database has a minimum information about a microarray experiment (MIAME)-compliant infrastructure that captures fully annotated raw and processed data. Several data deposit options and formats are supported, including web forms, spreadsheets, XML and Simple Omnibus Format in Text (SOFT). In addition to data storage, a collection of user-friendly web-based interfaces and applications are available to help users effectively explore, visualize and download the thousands of experiments and tens of millions of gene expression patterns stored in GEO. This paper provides a summary of the GEO database structure and user facilities, and describes recent enhancements to database design, performance, submission format options, data query and retrieval utilities. GEO is accessible at http://www.ncbi.nlm.nih.gov/geo/
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