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BeadArray Expression Analysis Using Bioconductor

Illumina whole-genome expression BeadArrays are a popular choice in gene profiling studies. Aside from the vendor-provided software tools for analyzing BeadArray expression data (GenomeStudio/BeadStudio), there exists a comprehensive set of open-source analysis tools in the Bioconductor project, man...

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Detalles Bibliográficos
Autores principales: Ritchie, Matthew E., Dunning, Mark J., Smith, Mike L., Shi, Wei, Lynch, Andy G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3228778/
https://www.ncbi.nlm.nih.gov/pubmed/22144879
http://dx.doi.org/10.1371/journal.pcbi.1002276
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author Ritchie, Matthew E.
Dunning, Mark J.
Smith, Mike L.
Shi, Wei
Lynch, Andy G.
author_facet Ritchie, Matthew E.
Dunning, Mark J.
Smith, Mike L.
Shi, Wei
Lynch, Andy G.
author_sort Ritchie, Matthew E.
collection PubMed
description Illumina whole-genome expression BeadArrays are a popular choice in gene profiling studies. Aside from the vendor-provided software tools for analyzing BeadArray expression data (GenomeStudio/BeadStudio), there exists a comprehensive set of open-source analysis tools in the Bioconductor project, many of which have been tailored to exploit the unique properties of this platform. In this article, we explore a number of these software packages and demonstrate how to perform a complete analysis of BeadArray data in various formats. The key steps of importing data, performing quality assessments, preprocessing, and annotation in the common setting of assessing differential expression in designed experiments will be covered.
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spelling pubmed-32287782011-12-05 BeadArray Expression Analysis Using Bioconductor Ritchie, Matthew E. Dunning, Mark J. Smith, Mike L. Shi, Wei Lynch, Andy G. PLoS Comput Biol Education Illumina whole-genome expression BeadArrays are a popular choice in gene profiling studies. Aside from the vendor-provided software tools for analyzing BeadArray expression data (GenomeStudio/BeadStudio), there exists a comprehensive set of open-source analysis tools in the Bioconductor project, many of which have been tailored to exploit the unique properties of this platform. In this article, we explore a number of these software packages and demonstrate how to perform a complete analysis of BeadArray data in various formats. The key steps of importing data, performing quality assessments, preprocessing, and annotation in the common setting of assessing differential expression in designed experiments will be covered. Public Library of Science 2011-12-01 /pmc/articles/PMC3228778/ /pubmed/22144879 http://dx.doi.org/10.1371/journal.pcbi.1002276 Text en Ritchie et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Education
Ritchie, Matthew E.
Dunning, Mark J.
Smith, Mike L.
Shi, Wei
Lynch, Andy G.
BeadArray Expression Analysis Using Bioconductor
title BeadArray Expression Analysis Using Bioconductor
title_full BeadArray Expression Analysis Using Bioconductor
title_fullStr BeadArray Expression Analysis Using Bioconductor
title_full_unstemmed BeadArray Expression Analysis Using Bioconductor
title_short BeadArray Expression Analysis Using Bioconductor
title_sort beadarray expression analysis using bioconductor
topic Education
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3228778/
https://www.ncbi.nlm.nih.gov/pubmed/22144879
http://dx.doi.org/10.1371/journal.pcbi.1002276
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