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NCBI GEO: mining millions of expression profiles—database and tools
The Gene Expression Omnibus (GEO) at the National Center for Biotechnology Information (NCBI) is the largest fully public repository for high-throughput molecular abundance data, primarily gene expression data. The database has a flexible and open design that allows the submission, storage and retri...
Autores principales: | , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2005
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC539976/ https://www.ncbi.nlm.nih.gov/pubmed/15608262 http://dx.doi.org/10.1093/nar/gki022 |
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author | Barrett, Tanya Suzek, Tugba O. Troup, Dennis B. Wilhite, Stephen E. Ngau, Wing-Chi Ledoux, Pierre Rudnev, Dmitry Lash, Alex E. Fujibuchi, Wataru Edgar, Ron |
author_facet | Barrett, Tanya Suzek, Tugba O. Troup, Dennis B. Wilhite, Stephen E. Ngau, Wing-Chi Ledoux, Pierre Rudnev, Dmitry Lash, Alex E. Fujibuchi, Wataru Edgar, Ron |
author_sort | Barrett, Tanya |
collection | PubMed |
description | The Gene Expression Omnibus (GEO) at the National Center for Biotechnology Information (NCBI) is the largest fully public repository for high-throughput molecular abundance data, primarily gene expression data. The database has a flexible and open design that allows the submission, storage and retrieval of many data types. These data include microarray-based experiments measuring the abundance of mRNA, genomic DNA and protein molecules, as well as non-array-based technologies such as serial analysis of gene expression (SAGE) and mass spectrometry proteomic technology. GEO currently holds over 30 000 submissions representing approximately half a billion individual molecular abundance measurements, for over 100 organisms. Here, we describe recent database developments that facilitate effective mining and visualization of these data. Features are provided to examine data from both experiment- and gene-centric perspectives using user-friendly Web-based interfaces accessible to those without computational or microarray-related analytical expertise. The GEO database is publicly accessible through the World Wide Web at http://www.ncbi.nlm.nih.gov/geo. |
format | Text |
id | pubmed-539976 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2005 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-5399762005-01-04 NCBI GEO: mining millions of expression profiles—database and tools Barrett, Tanya Suzek, Tugba O. Troup, Dennis B. Wilhite, Stephen E. Ngau, Wing-Chi Ledoux, Pierre Rudnev, Dmitry Lash, Alex E. Fujibuchi, Wataru Edgar, Ron Nucleic Acids Res Articles The Gene Expression Omnibus (GEO) at the National Center for Biotechnology Information (NCBI) is the largest fully public repository for high-throughput molecular abundance data, primarily gene expression data. The database has a flexible and open design that allows the submission, storage and retrieval of many data types. These data include microarray-based experiments measuring the abundance of mRNA, genomic DNA and protein molecules, as well as non-array-based technologies such as serial analysis of gene expression (SAGE) and mass spectrometry proteomic technology. GEO currently holds over 30 000 submissions representing approximately half a billion individual molecular abundance measurements, for over 100 organisms. Here, we describe recent database developments that facilitate effective mining and visualization of these data. Features are provided to examine data from both experiment- and gene-centric perspectives using user-friendly Web-based interfaces accessible to those without computational or microarray-related analytical expertise. The GEO database is publicly accessible through the World Wide Web at http://www.ncbi.nlm.nih.gov/geo. Oxford University Press 2005-01-01 2004-12-17 /pmc/articles/PMC539976/ /pubmed/15608262 http://dx.doi.org/10.1093/nar/gki022 Text en Copyright © 2005 Oxford University Press |
spellingShingle | Articles Barrett, Tanya Suzek, Tugba O. Troup, Dennis B. Wilhite, Stephen E. Ngau, Wing-Chi Ledoux, Pierre Rudnev, Dmitry Lash, Alex E. Fujibuchi, Wataru Edgar, Ron NCBI GEO: mining millions of expression profiles—database and tools |
title | NCBI GEO: mining millions of expression profiles—database and tools |
title_full | NCBI GEO: mining millions of expression profiles—database and tools |
title_fullStr | NCBI GEO: mining millions of expression profiles—database and tools |
title_full_unstemmed | NCBI GEO: mining millions of expression profiles—database and tools |
title_short | NCBI GEO: mining millions of expression profiles—database and tools |
title_sort | ncbi geo: mining millions of expression profiles—database and tools |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC539976/ https://www.ncbi.nlm.nih.gov/pubmed/15608262 http://dx.doi.org/10.1093/nar/gki022 |
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