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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2011
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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. |
format | Online Article Text |
id | pubmed-3228778 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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