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NCBI GEO: archive for functional genomics data sets—10 years on
A decade ago, the Gene Expression Omnibus (GEO) database was established at the National Center for Biotechnology Information (NCBI). The original objective of GEO was to serve as a public repository for high-throughput gene expression data generated mostly by microarray technology. However, the res...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3013736/ https://www.ncbi.nlm.nih.gov/pubmed/21097893 http://dx.doi.org/10.1093/nar/gkq1184 |
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author | Barrett, Tanya Troup, Dennis B. Wilhite, Stephen E. Ledoux, Pierre Evangelista, Carlos Kim, Irene F. Tomashevsky, Maxim Marshall, Kimberly A. Phillippy, Katherine H. Sherman, Patti M. Muertter, Rolf N. Holko, Michelle Ayanbule, Oluwabukunmi Yefanov, Andrey Soboleva, Alexandra |
author_facet | Barrett, Tanya Troup, Dennis B. Wilhite, Stephen E. Ledoux, Pierre Evangelista, Carlos Kim, Irene F. Tomashevsky, Maxim Marshall, Kimberly A. Phillippy, Katherine H. Sherman, Patti M. Muertter, Rolf N. Holko, Michelle Ayanbule, Oluwabukunmi Yefanov, Andrey Soboleva, Alexandra |
author_sort | Barrett, Tanya |
collection | PubMed |
description | A decade ago, the Gene Expression Omnibus (GEO) database was established at the National Center for Biotechnology Information (NCBI). The original objective of GEO was to serve as a public repository for high-throughput gene expression data generated mostly by microarray technology. However, the research community quickly applied microarrays to non-gene-expression studies, including examination of genome copy number variation and genome-wide profiling of DNA-binding proteins. Because the GEO database was designed with a flexible structure, it was possible to quickly adapt the repository to store these data types. More recently, as the microarray community switches to next-generation sequencing technologies, GEO has again adapted to host these data sets. Today, GEO stores over 20 000 microarray- and sequence-based functional genomics studies, and continues to handle the majority of direct high-throughput data submissions from the research community. Multiple mechanisms are provided to help users effectively search, browse, download and visualize the data at the level of individual genes or entire studies. This paper describes recent database enhancements, including new search and data representation tools, as well as a brief review of how the community uses GEO data. GEO is freely accessible at http://www.ncbi.nlm.nih.gov/geo/. |
format | Text |
id | pubmed-3013736 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-30137362011-01-03 NCBI GEO: archive for functional genomics data sets—10 years on Barrett, Tanya Troup, Dennis B. Wilhite, Stephen E. Ledoux, Pierre Evangelista, Carlos Kim, Irene F. Tomashevsky, Maxim Marshall, Kimberly A. Phillippy, Katherine H. Sherman, Patti M. Muertter, Rolf N. Holko, Michelle Ayanbule, Oluwabukunmi Yefanov, Andrey Soboleva, Alexandra Nucleic Acids Res Articles A decade ago, the Gene Expression Omnibus (GEO) database was established at the National Center for Biotechnology Information (NCBI). The original objective of GEO was to serve as a public repository for high-throughput gene expression data generated mostly by microarray technology. However, the research community quickly applied microarrays to non-gene-expression studies, including examination of genome copy number variation and genome-wide profiling of DNA-binding proteins. Because the GEO database was designed with a flexible structure, it was possible to quickly adapt the repository to store these data types. More recently, as the microarray community switches to next-generation sequencing technologies, GEO has again adapted to host these data sets. Today, GEO stores over 20 000 microarray- and sequence-based functional genomics studies, and continues to handle the majority of direct high-throughput data submissions from the research community. Multiple mechanisms are provided to help users effectively search, browse, download and visualize the data at the level of individual genes or entire studies. This paper describes recent database enhancements, including new search and data representation tools, as well as a brief review of how the community uses GEO data. GEO is freely accessible at http://www.ncbi.nlm.nih.gov/geo/. Oxford University Press 2011-01 2010-11-20 /pmc/articles/PMC3013736/ /pubmed/21097893 http://dx.doi.org/10.1093/nar/gkq1184 Text en Published by Oxford University Press 2010. http://creativecommons.org/licenses/by-nc/2.5 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Barrett, Tanya Troup, Dennis B. Wilhite, Stephen E. Ledoux, Pierre Evangelista, Carlos Kim, Irene F. Tomashevsky, Maxim Marshall, Kimberly A. Phillippy, Katherine H. Sherman, Patti M. Muertter, Rolf N. Holko, Michelle Ayanbule, Oluwabukunmi Yefanov, Andrey Soboleva, Alexandra NCBI GEO: archive for functional genomics data sets—10 years on |
title | NCBI GEO: archive for functional genomics data sets—10 years on |
title_full | NCBI GEO: archive for functional genomics data sets—10 years on |
title_fullStr | NCBI GEO: archive for functional genomics data sets—10 years on |
title_full_unstemmed | NCBI GEO: archive for functional genomics data sets—10 years on |
title_short | NCBI GEO: archive for functional genomics data sets—10 years on |
title_sort | ncbi geo: archive for functional genomics data sets—10 years on |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3013736/ https://www.ncbi.nlm.nih.gov/pubmed/21097893 http://dx.doi.org/10.1093/nar/gkq1184 |
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