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GCOD - GeneChip Oncology Database

BACKGROUND: DNA microarrays have become a nearly ubiquitous tool for the study of human disease, and nowhere is this more true than in cancer. With hundreds of studies and thousands of expression profiles representing the majority of human cancers completed and in public databases, the challenge has...

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Autores principales: Liu, Fenglong, White, Joseph A, Antonescu, Corina, Gusenleitner, Daniel, Quackenbush, John
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3045303/
https://www.ncbi.nlm.nih.gov/pubmed/21291543
http://dx.doi.org/10.1186/1471-2105-12-46
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author Liu, Fenglong
White, Joseph A
Antonescu, Corina
Gusenleitner, Daniel
Quackenbush, John
author_facet Liu, Fenglong
White, Joseph A
Antonescu, Corina
Gusenleitner, Daniel
Quackenbush, John
author_sort Liu, Fenglong
collection PubMed
description BACKGROUND: DNA microarrays have become a nearly ubiquitous tool for the study of human disease, and nowhere is this more true than in cancer. With hundreds of studies and thousands of expression profiles representing the majority of human cancers completed and in public databases, the challenge has been effectively accessing and using this wealth of data. DESCRIPTION: To address this issue we have collected published human cancer gene expression datasets generated on the Affymetrix GeneChip platform, and carefully annotated those studies with a focus on providing accurate sample annotation. To facilitate comparison between datasets, we implemented a consistent data normalization and transformation protocol and then applied stringent quality control procedures to flag low-quality assays. CONCLUSION: The resulting resource, the GeneChip Oncology Database, is available through a publicly accessible website that provides several query options and analytical tools through an intuitive interface.
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spelling pubmed-30453032011-02-26 GCOD - GeneChip Oncology Database Liu, Fenglong White, Joseph A Antonescu, Corina Gusenleitner, Daniel Quackenbush, John BMC Bioinformatics Database BACKGROUND: DNA microarrays have become a nearly ubiquitous tool for the study of human disease, and nowhere is this more true than in cancer. With hundreds of studies and thousands of expression profiles representing the majority of human cancers completed and in public databases, the challenge has been effectively accessing and using this wealth of data. DESCRIPTION: To address this issue we have collected published human cancer gene expression datasets generated on the Affymetrix GeneChip platform, and carefully annotated those studies with a focus on providing accurate sample annotation. To facilitate comparison between datasets, we implemented a consistent data normalization and transformation protocol and then applied stringent quality control procedures to flag low-quality assays. CONCLUSION: The resulting resource, the GeneChip Oncology Database, is available through a publicly accessible website that provides several query options and analytical tools through an intuitive interface. BioMed Central 2011-02-03 /pmc/articles/PMC3045303/ /pubmed/21291543 http://dx.doi.org/10.1186/1471-2105-12-46 Text en Copyright ©2011 Liu et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Database
Liu, Fenglong
White, Joseph A
Antonescu, Corina
Gusenleitner, Daniel
Quackenbush, John
GCOD - GeneChip Oncology Database
title GCOD - GeneChip Oncology Database
title_full GCOD - GeneChip Oncology Database
title_fullStr GCOD - GeneChip Oncology Database
title_full_unstemmed GCOD - GeneChip Oncology Database
title_short GCOD - GeneChip Oncology Database
title_sort gcod - genechip oncology database
topic Database
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3045303/
https://www.ncbi.nlm.nih.gov/pubmed/21291543
http://dx.doi.org/10.1186/1471-2105-12-46
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