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NCBI GEO: archive for functional genomics data sets—update
The Gene Expression Omnibus (GEO, http://www.ncbi.nlm.nih.gov/geo/) is an international public repository for high-throughput microarray and next-generation sequence functional genomic data sets submitted by the research community. The resource supports archiving of raw data, processed data and meta...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3531084/ https://www.ncbi.nlm.nih.gov/pubmed/23193258 http://dx.doi.org/10.1093/nar/gks1193 |
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author | Barrett, Tanya Wilhite, Stephen E. Ledoux, Pierre Evangelista, Carlos Kim, Irene F. Tomashevsky, Maxim Marshall, Kimberly A. Phillippy, Katherine H. Sherman, Patti M. Holko, Michelle Yefanov, Andrey Lee, Hyeseung Zhang, Naigong Robertson, Cynthia L. Serova, Nadezhda Davis, Sean Soboleva, Alexandra |
author_facet | Barrett, Tanya Wilhite, Stephen E. Ledoux, Pierre Evangelista, Carlos Kim, Irene F. Tomashevsky, Maxim Marshall, Kimberly A. Phillippy, Katherine H. Sherman, Patti M. Holko, Michelle Yefanov, Andrey Lee, Hyeseung Zhang, Naigong Robertson, Cynthia L. Serova, Nadezhda Davis, Sean Soboleva, Alexandra |
author_sort | Barrett, Tanya |
collection | PubMed |
description | The Gene Expression Omnibus (GEO, http://www.ncbi.nlm.nih.gov/geo/) is an international public repository for high-throughput microarray and next-generation sequence functional genomic data sets submitted by the research community. The resource supports archiving of raw data, processed data and metadata which are indexed, cross-linked and searchable. All data are freely available for download in a variety of formats. GEO also provides several web-based tools and strategies to assist users to query, analyse and visualize data. This article reports current status and recent database developments, including the release of GEO2R, an R-based web application that helps users analyse GEO data. |
format | Online Article Text |
id | pubmed-3531084 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-35310842013-01-03 NCBI GEO: archive for functional genomics data sets—update Barrett, Tanya Wilhite, Stephen E. Ledoux, Pierre Evangelista, Carlos Kim, Irene F. Tomashevsky, Maxim Marshall, Kimberly A. Phillippy, Katherine H. Sherman, Patti M. Holko, Michelle Yefanov, Andrey Lee, Hyeseung Zhang, Naigong Robertson, Cynthia L. Serova, Nadezhda Davis, Sean Soboleva, Alexandra Nucleic Acids Res Articles The Gene Expression Omnibus (GEO, http://www.ncbi.nlm.nih.gov/geo/) is an international public repository for high-throughput microarray and next-generation sequence functional genomic data sets submitted by the research community. The resource supports archiving of raw data, processed data and metadata which are indexed, cross-linked and searchable. All data are freely available for download in a variety of formats. GEO also provides several web-based tools and strategies to assist users to query, analyse and visualize data. This article reports current status and recent database developments, including the release of GEO2R, an R-based web application that helps users analyse GEO data. Oxford University Press 2013-01 2012-11-26 /pmc/articles/PMC3531084/ /pubmed/23193258 http://dx.doi.org/10.1093/nar/gks1193 Text en Published by Oxford University Press 2012. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/3.0/), which permits non-commercial reuse, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com. |
spellingShingle | Articles Barrett, Tanya Wilhite, Stephen E. Ledoux, Pierre Evangelista, Carlos Kim, Irene F. Tomashevsky, Maxim Marshall, Kimberly A. Phillippy, Katherine H. Sherman, Patti M. Holko, Michelle Yefanov, Andrey Lee, Hyeseung Zhang, Naigong Robertson, Cynthia L. Serova, Nadezhda Davis, Sean Soboleva, Alexandra NCBI GEO: archive for functional genomics data sets—update |
title | NCBI GEO: archive for functional genomics data sets—update |
title_full | NCBI GEO: archive for functional genomics data sets—update |
title_fullStr | NCBI GEO: archive for functional genomics data sets—update |
title_full_unstemmed | NCBI GEO: archive for functional genomics data sets—update |
title_short | NCBI GEO: archive for functional genomics data sets—update |
title_sort | ncbi geo: archive for functional genomics data sets—update |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3531084/ https://www.ncbi.nlm.nih.gov/pubmed/23193258 http://dx.doi.org/10.1093/nar/gks1193 |
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