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Rawcopy: Improved copy number analysis with Affymetrix arrays

Microarray data is subject to noise and systematic variation that negatively affects the resolution of copy number analysis. We describe Rawcopy, an R package for processing of Affymetrix CytoScan HD, CytoScan 750k and SNP 6.0 microarray raw intensities (CEL files). Noise characteristics of a large...

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Detalles Bibliográficos
Autores principales: Mayrhofer, Markus, Viklund, Björn, Isaksson, Anders
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5086940/
https://www.ncbi.nlm.nih.gov/pubmed/27796336
http://dx.doi.org/10.1038/srep36158
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author Mayrhofer, Markus
Viklund, Björn
Isaksson, Anders
author_facet Mayrhofer, Markus
Viklund, Björn
Isaksson, Anders
author_sort Mayrhofer, Markus
collection PubMed
description Microarray data is subject to noise and systematic variation that negatively affects the resolution of copy number analysis. We describe Rawcopy, an R package for processing of Affymetrix CytoScan HD, CytoScan 750k and SNP 6.0 microarray raw intensities (CEL files). Noise characteristics of a large number of reference samples are used to estimate log ratio and B-allele frequency for total and allele-specific copy number analysis. Rawcopy achieves better signal-to-noise ratio and higher proportion of validated alterations than commonly used free and proprietary alternatives. In addition, Rawcopy visualizes each microarray sample for assessment of technical quality, patient identity and genome-wide absolute copy number states. Software and instructions are available at http://rawcopy.org.
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spelling pubmed-50869402016-11-04 Rawcopy: Improved copy number analysis with Affymetrix arrays Mayrhofer, Markus Viklund, Björn Isaksson, Anders Sci Rep Article Microarray data is subject to noise and systematic variation that negatively affects the resolution of copy number analysis. We describe Rawcopy, an R package for processing of Affymetrix CytoScan HD, CytoScan 750k and SNP 6.0 microarray raw intensities (CEL files). Noise characteristics of a large number of reference samples are used to estimate log ratio and B-allele frequency for total and allele-specific copy number analysis. Rawcopy achieves better signal-to-noise ratio and higher proportion of validated alterations than commonly used free and proprietary alternatives. In addition, Rawcopy visualizes each microarray sample for assessment of technical quality, patient identity and genome-wide absolute copy number states. Software and instructions are available at http://rawcopy.org. Nature Publishing Group 2016-10-31 /pmc/articles/PMC5086940/ /pubmed/27796336 http://dx.doi.org/10.1038/srep36158 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Mayrhofer, Markus
Viklund, Björn
Isaksson, Anders
Rawcopy: Improved copy number analysis with Affymetrix arrays
title Rawcopy: Improved copy number analysis with Affymetrix arrays
title_full Rawcopy: Improved copy number analysis with Affymetrix arrays
title_fullStr Rawcopy: Improved copy number analysis with Affymetrix arrays
title_full_unstemmed Rawcopy: Improved copy number analysis with Affymetrix arrays
title_short Rawcopy: Improved copy number analysis with Affymetrix arrays
title_sort rawcopy: improved copy number analysis with affymetrix arrays
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5086940/
https://www.ncbi.nlm.nih.gov/pubmed/27796336
http://dx.doi.org/10.1038/srep36158
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