Preprocessing, normalization and integration of the Illumina HumanMethylationEPIC array with minfi

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 Hu...

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Vydáno v:Bioinformatics (Oxford, England) Ročník 33; číslo 4; s. 558 - 560
Hlavní autoři: Fortin, Jean-Philippe, Triche, Timothy J., Hansen, Kasper D
Médium: Journal Article
Jazyk:angličtina
Vydáno: England Oxford University Press 15.02.2017
Témata:
Applications Notes
DNA Methylation
Epigenomics - methods
Humans
Oligonucleotide Array Sequence Analysis - methods
Sequence Analysis, DNA - methods
Software
ISSN:1367-4803, 1367-4811, 1367-4811
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Shrnutí: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. The minfi package version 1.19.12 or higher is available for all platforms from the Bioconductor project. khansen@jhsph.edu. Supplementary data are available at Bioinformatics online.
Bibliografie:ObjectType-Article-1
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ISSN:1367-4803
1367-4811
1367-4811
DOI:10.1093/bioinformatics/btw691