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HumMeth27QCReport: an R package for quality control and primary analysis of Illumina Infinium methylation data

BACKGROUND: The study of the human DNA methylome has gained particular interest in the last few years. Researchers can nowadays investigate the potential role of DNA methylation in common disorders by taking advantage of new high-throughput technologies. Among these, Illumina Infinium assays can int...

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Autores principales: Mancuso, Francesco M, Montfort, Magda, Carreras, Anna, Alibés, Andreu, Roma, Guglielmo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3285701/
https://www.ncbi.nlm.nih.gov/pubmed/22182516
http://dx.doi.org/10.1186/1756-0500-4-546
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author Mancuso, Francesco M
Montfort, Magda
Carreras, Anna
Alibés, Andreu
Roma, Guglielmo
author_facet Mancuso, Francesco M
Montfort, Magda
Carreras, Anna
Alibés, Andreu
Roma, Guglielmo
author_sort Mancuso, Francesco M
collection PubMed
description BACKGROUND: The study of the human DNA methylome has gained particular interest in the last few years. Researchers can nowadays investigate the potential role of DNA methylation in common disorders by taking advantage of new high-throughput technologies. Among these, Illumina Infinium assays can interrogate the methylation levels of hundreds of thousands of CpG sites, offering an ideal solution for genome-wide methylation profiling. However, like for other high-throughput technologies, the main bottleneck remains at the stage of data analysis rather than data production. FINDINGS: We have developed HumMeth27QCReport, an R package devoted to researchers wanting to quickly analyse their Illumina Infinium methylation arrays. This package automates quality control steps by generating a report including sample-independent and sample-dependent quality plots, and performs primary analysis of raw methylation calls by computing data normalization, statistics, and sample similarities. This package is available at CRAN repository, and can be integrated in any Galaxy instance through the implementation of ad-hoc scripts accessible at Galaxy Tool Shed. CONCLUSIONS: Our package provides users of the Illumina Infinium Methylation assays with a simplified, automated, open-source quality control and primary analysis of their methylation data. Moreover, to enhance its use by experimental researchers, the tool is being distributed along with the scripts necessary for its implementation in the Galaxy workbench. Finally, although it was originally developed for HumanMethylation27, we proved its compatibility with data generated with the HumanMethylation450 Bead Chip.
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spelling pubmed-32857012012-02-24 HumMeth27QCReport: an R package for quality control and primary analysis of Illumina Infinium methylation data Mancuso, Francesco M Montfort, Magda Carreras, Anna Alibés, Andreu Roma, Guglielmo BMC Res Notes Data Note BACKGROUND: The study of the human DNA methylome has gained particular interest in the last few years. Researchers can nowadays investigate the potential role of DNA methylation in common disorders by taking advantage of new high-throughput technologies. Among these, Illumina Infinium assays can interrogate the methylation levels of hundreds of thousands of CpG sites, offering an ideal solution for genome-wide methylation profiling. However, like for other high-throughput technologies, the main bottleneck remains at the stage of data analysis rather than data production. FINDINGS: We have developed HumMeth27QCReport, an R package devoted to researchers wanting to quickly analyse their Illumina Infinium methylation arrays. This package automates quality control steps by generating a report including sample-independent and sample-dependent quality plots, and performs primary analysis of raw methylation calls by computing data normalization, statistics, and sample similarities. This package is available at CRAN repository, and can be integrated in any Galaxy instance through the implementation of ad-hoc scripts accessible at Galaxy Tool Shed. CONCLUSIONS: Our package provides users of the Illumina Infinium Methylation assays with a simplified, automated, open-source quality control and primary analysis of their methylation data. Moreover, to enhance its use by experimental researchers, the tool is being distributed along with the scripts necessary for its implementation in the Galaxy workbench. Finally, although it was originally developed for HumanMethylation27, we proved its compatibility with data generated with the HumanMethylation450 Bead Chip. BioMed Central 2011-12-19 /pmc/articles/PMC3285701/ /pubmed/22182516 http://dx.doi.org/10.1186/1756-0500-4-546 Text en Copyright ©2011 Mancuso et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Data Note
Mancuso, Francesco M
Montfort, Magda
Carreras, Anna
Alibés, Andreu
Roma, Guglielmo
HumMeth27QCReport: an R package for quality control and primary analysis of Illumina Infinium methylation data
title HumMeth27QCReport: an R package for quality control and primary analysis of Illumina Infinium methylation data
title_full HumMeth27QCReport: an R package for quality control and primary analysis of Illumina Infinium methylation data
title_fullStr HumMeth27QCReport: an R package for quality control and primary analysis of Illumina Infinium methylation data
title_full_unstemmed HumMeth27QCReport: an R package for quality control and primary analysis of Illumina Infinium methylation data
title_short HumMeth27QCReport: an R package for quality control and primary analysis of Illumina Infinium methylation data
title_sort hummeth27qcreport: an r package for quality control and primary analysis of illumina infinium methylation data
topic Data Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3285701/
https://www.ncbi.nlm.nih.gov/pubmed/22182516
http://dx.doi.org/10.1186/1756-0500-4-546
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