NCBI GEO: archive for high-throughput functional genomic data Export

@article{citeulike:3768473, abstract = {The Gene Expression Omnibus (GEO) at the National Center for Biotechnology Information (NCBI) is the largest public repository for high-throughput gene expression data. Additionally, GEO hosts other categories of high-throughput functional genomic data, including those that examine genome copy number variations, chromatin structure, methylation status and transcription factor binding. These data are generated by the research community using high-throughput technologies like microarrays and, more recently, next-generation sequencing. The database has a flexible infrastructure that can capture fully annotated raw and processed data, enabling compliance with major community-derived scientific reporting standards such as Minimum Information About a Microarray Experiment' (MIAME). In addition to serving as a centralized data storage hub, GEO offers many tools and features that allow users to effectively explore, analyze and download expression data from both gene-centric and experiment-centric perspectives. This article summarizes the GEO repository structure, content and operating procedures, as well as recently introduced data mining features. GEO is freely accessible at http://www.ncbi.nlm.nih.gov/geo/. 10.1093/nar/gkn764}, author = {Barrett, Tanya and Troup, Dennis B. and Wilhite, Stephen E. and Ledoux, Pierre and Rudnev, Dmitry and Evangelista, Carlos and Kim, Irene F. and Soboleva, Alexandra and Tomashevsky, Maxim and Marshall, Kimberly A. and Phillippy, Katherine H. and Sherman, Patti M. and Muertter, Rolf N. and Edgar, Ron}, citeulike-article-id = {3768473}, citeulike-linkout-0 = {http://dx.doi.org/10.1093/nar/gkn764}, citeulike-linkout-1 = {http://nar.oxfordjournals.org/content/37/suppl_1/D885.abstract}, citeulike-linkout-2 = {http://nar.oxfordjournals.org/content/37/suppl_1/D885.full.pdf}, citeulike-linkout-3 = {http://nar.oxfordjournals.org/cgi/content/abstract/37/suppl_1/D885}, citeulike-linkout-4 = {http://view.ncbi.nlm.nih.gov/pubmed/18940857}, citeulike-linkout-5 = {http://www.hubmed.org/display.cgi?uids=18940857}, day = {1}, doi = {10.1093/nar/gkn764}, issn = {1362-4962}, journal = {Nucl. Acids Res.}, keywords = {database, genomics, tools}, month = {January}, number = {suppl\_1}, pages = {D885--890}, posted-at = {2009-10-08 07:47:50}, priority = {2}, title = {NCBI GEO: archive for high-throughput functional genomic data}, url = {http://dx.doi.org/10.1093/nar/gkn764}, volume = {37}, year = {2009} }

TY - JOUR ID - citeulike:3768473 L3 - citeulike-article-id:3768473 N2 - The Gene Expression Omnibus (GEO) at the National Center for Biotechnology Information (NCBI) is the largest public repository for high-throughput gene expression data. Additionally, GEO hosts other categories of high-throughput functional genomic data, including those that examine genome copy number variations, chromatin structure, methylation status and transcription factor binding. These data are generated by the research community using high-throughput technologies like microarrays and, more recently, next-generation sequencing. The database has a flexible infrastructure that can capture fully annotated raw and processed data, enabling compliance with major community-derived scientific reporting standards such as Minimum Information About a Microarray Experiment' (MIAME). In addition to serving as a centralized data storage hub, GEO offers many tools and features that allow users to effectively explore, analyze and download expression data from both gene-centric and experiment-centric perspectives. This article summarizes the GEO repository structure, content and operating procedures, as well as recently introduced data mining features. GEO is freely accessible at http://www.ncbi.nlm.nih.gov/geo/. 10.1093/nar/gkn764 IS - suppl_1 JF - Nucl. Acids Res. SN - 1362-4962 EP - 890 TI - NCBI GEO: archive for high-throughput functional genomic data VL - 37 SP - D885 KW - database KW - genomics KW - tools AU - Barrett, Tanya AU - Troup, Dennis AU - Wilhite, Stephen AU - Ledoux, Pierre AU - Rudnev, Dmitry AU - Evangelista, Carlos AU - Kim, Irene AU - Soboleva, Alexandra AU - Tomashevsky, Maxim AU - Marshall, Kimberly AU - Phillippy, Katherine AU - Sherman, Patti AU - Muertter, Rolf AU - Edgar, Ron PY - 2009/01/01/ UR - http://dx.doi.org/10.1093/nar/gkn764 ER -