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Preprocessing, normalization and integration of the Illumina HumanMethylationEPIC array with minfi
SUMMARY: The minfi package is widely used for analyzing Illumina DNA methylation array data. Here we describe modifications to the minfi package required to support the HumanMethylationEPIC (‘EPIC’) array from Illumina. We discuss methods for the joint analysis and normalization of data from the Hum...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5408810/ https://www.ncbi.nlm.nih.gov/pubmed/28035024 http://dx.doi.org/10.1093/bioinformatics/btw691 |
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author | Fortin, Jean-Philippe Triche, Timothy J. Hansen, Kasper D |
author_facet | Fortin, Jean-Philippe Triche, Timothy J. Hansen, Kasper D |
author_sort | Fortin, Jean-Philippe |
collection | PubMed |
description | SUMMARY: The minfi package is widely used for analyzing Illumina DNA methylation array data. Here we describe modifications to the minfi package required to support the HumanMethylationEPIC (‘EPIC’) array from Illumina. We discuss methods for the joint analysis and normalization of data from the HumanMethylation450 (‘450k’) and EPIC platforms. We introduce the single-sample Noob (ssNoob) method, a normalization procedure suitable for incremental preprocessing of individual methylation arrays and conclude that this method should be used when integrating data from multiple generations of Infinium methylation arrays. We show how to use reference 450k datasets to estimate cell type composition of samples on EPIC arrays. The cumulative effect of these updates is to ensure that minfi provides the tools to best integrate existing and forthcoming Illumina methylation array data. AVAILABILITY AND IMPLEMENTATION: The minfi package version 1.19.12 or higher is available for all platforms from the Bioconductor project. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-5408810 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-54088102017-05-03 Preprocessing, normalization and integration of the Illumina HumanMethylationEPIC array with minfi Fortin, Jean-Philippe Triche, Timothy J. Hansen, Kasper D Bioinformatics Applications Notes SUMMARY: The minfi package is widely used for analyzing Illumina DNA methylation array data. Here we describe modifications to the minfi package required to support the HumanMethylationEPIC (‘EPIC’) array from Illumina. We discuss methods for the joint analysis and normalization of data from the HumanMethylation450 (‘450k’) and EPIC platforms. We introduce the single-sample Noob (ssNoob) method, a normalization procedure suitable for incremental preprocessing of individual methylation arrays and conclude that this method should be used when integrating data from multiple generations of Infinium methylation arrays. We show how to use reference 450k datasets to estimate cell type composition of samples on EPIC arrays. The cumulative effect of these updates is to ensure that minfi provides the tools to best integrate existing and forthcoming Illumina methylation array data. AVAILABILITY AND IMPLEMENTATION: The minfi package version 1.19.12 or higher is available for all platforms from the Bioconductor project. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2017-02-15 2016-11-29 /pmc/articles/PMC5408810/ /pubmed/28035024 http://dx.doi.org/10.1093/bioinformatics/btw691 Text en © The Author 2016. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Notes Fortin, Jean-Philippe Triche, Timothy J. Hansen, Kasper D Preprocessing, normalization and integration of the Illumina HumanMethylationEPIC array with minfi |
title | Preprocessing, normalization and integration of the Illumina HumanMethylationEPIC array with minfi |
title_full | Preprocessing, normalization and integration of the Illumina HumanMethylationEPIC array with minfi |
title_fullStr | Preprocessing, normalization and integration of the Illumina HumanMethylationEPIC array with minfi |
title_full_unstemmed | Preprocessing, normalization and integration of the Illumina HumanMethylationEPIC array with minfi |
title_short | Preprocessing, normalization and integration of the Illumina HumanMethylationEPIC array with minfi |
title_sort | preprocessing, normalization and integration of the illumina humanmethylationepic array with minfi |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5408810/ https://www.ncbi.nlm.nih.gov/pubmed/28035024 http://dx.doi.org/10.1093/bioinformatics/btw691 |
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