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User-friendly solutions for microarray quality control and pre-processing on ArrayAnalysis.org

Quality control (QC) is crucial for any scientific method producing data. Applying adequate QC introduces new challenges in the genomics field where large amounts of data are produced with complex technologies. For DNA microarrays, specific algorithms for QC and pre-processing including normalizatio...

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Detalles Bibliográficos
Autores principales: Eijssen, Lars M. T., Jaillard, Magali, Adriaens, Michiel E., Gaj, Stan, de Groot, Philip J., Müller, Michael, Evelo, Chris T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3692049/
https://www.ncbi.nlm.nih.gov/pubmed/23620278
http://dx.doi.org/10.1093/nar/gkt293
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author Eijssen, Lars M. T.
Jaillard, Magali
Adriaens, Michiel E.
Gaj, Stan
de Groot, Philip J.
Müller, Michael
Evelo, Chris T.
author_facet Eijssen, Lars M. T.
Jaillard, Magali
Adriaens, Michiel E.
Gaj, Stan
de Groot, Philip J.
Müller, Michael
Evelo, Chris T.
author_sort Eijssen, Lars M. T.
collection PubMed
description Quality control (QC) is crucial for any scientific method producing data. Applying adequate QC introduces new challenges in the genomics field where large amounts of data are produced with complex technologies. For DNA microarrays, specific algorithms for QC and pre-processing including normalization have been developed by the scientific community, especially for expression chips of the Affymetrix platform. Many of these have been implemented in the statistical scripting language R and are available from the Bioconductor repository. However, application is hampered by lack of integrative tools that can be used by users of any experience level. To fill this gap, we developed a freely available tool for QC and pre-processing of Affymetrix gene expression results, extending, integrating and harmonizing functionality of Bioconductor packages. The tool can be easily accessed through a wizard-like web portal at http://www.arrayanalysis.org or downloaded for local use in R. The portal provides extensive documentation, including user guides, interpretation help with real output illustrations and detailed technical documentation. It assists newcomers to the field in performing state-of-the-art QC and pre-processing while offering data analysts an integral open-source package. Providing the scientific community with this easily accessible tool will allow improving data quality and reuse and adoption of standards.
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spelling pubmed-36920492013-06-25 User-friendly solutions for microarray quality control and pre-processing on ArrayAnalysis.org Eijssen, Lars M. T. Jaillard, Magali Adriaens, Michiel E. Gaj, Stan de Groot, Philip J. Müller, Michael Evelo, Chris T. Nucleic Acids Res Articles Quality control (QC) is crucial for any scientific method producing data. Applying adequate QC introduces new challenges in the genomics field where large amounts of data are produced with complex technologies. For DNA microarrays, specific algorithms for QC and pre-processing including normalization have been developed by the scientific community, especially for expression chips of the Affymetrix platform. Many of these have been implemented in the statistical scripting language R and are available from the Bioconductor repository. However, application is hampered by lack of integrative tools that can be used by users of any experience level. To fill this gap, we developed a freely available tool for QC and pre-processing of Affymetrix gene expression results, extending, integrating and harmonizing functionality of Bioconductor packages. The tool can be easily accessed through a wizard-like web portal at http://www.arrayanalysis.org or downloaded for local use in R. The portal provides extensive documentation, including user guides, interpretation help with real output illustrations and detailed technical documentation. It assists newcomers to the field in performing state-of-the-art QC and pre-processing while offering data analysts an integral open-source package. Providing the scientific community with this easily accessible tool will allow improving data quality and reuse and adoption of standards. Oxford University Press 2013-07 2013-04-24 /pmc/articles/PMC3692049/ /pubmed/23620278 http://dx.doi.org/10.1093/nar/gkt293 Text en © The Author(s) 2013. Published by Oxford University Press. http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Eijssen, Lars M. T.
Jaillard, Magali
Adriaens, Michiel E.
Gaj, Stan
de Groot, Philip J.
Müller, Michael
Evelo, Chris T.
User-friendly solutions for microarray quality control and pre-processing on ArrayAnalysis.org
title User-friendly solutions for microarray quality control and pre-processing on ArrayAnalysis.org
title_full User-friendly solutions for microarray quality control and pre-processing on ArrayAnalysis.org
title_fullStr User-friendly solutions for microarray quality control and pre-processing on ArrayAnalysis.org
title_full_unstemmed User-friendly solutions for microarray quality control and pre-processing on ArrayAnalysis.org
title_short User-friendly solutions for microarray quality control and pre-processing on ArrayAnalysis.org
title_sort user-friendly solutions for microarray quality control and pre-processing on arrayanalysis.org
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3692049/
https://www.ncbi.nlm.nih.gov/pubmed/23620278
http://dx.doi.org/10.1093/nar/gkt293
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