Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Review of processing and analysis methods for DNA methylation array data

Wilhelm-Benartzi, Charlotte ORCID: https://orcid.org/0000-0003-4927-6158, Koestler, D. C., Karagas, M. R., Flanagan, J. M., Christensen, B. C., Kelsey, K. T., Marsit, C. J., Houseman, E. A. and Brown, R. 2013. Review of processing and analysis methods for DNA methylation array data. British Journal of Cancer 109 (6) , pp. 1394-1402. 10.1038/bjc.2013.496

[thumbnail of bjc2013496a.pdf]
Preview
PDF - Published Version
Available under License Creative Commons Attribution Non-commercial Share Alike.

Download (596kB) | Preview

Abstract

The promise of epigenome-wide association studies and cancer-specific somatic DNA methylation changes in improving our understanding of cancer, coupled with the decreasing cost and increasing coverage of DNA methylation microarrays, has brought about a surge in the use of these technologies. Here, we aim to provide both a review of issues encountered in the processing and analysis of array-based DNA methylation data and a summary of the advantages of recent approaches proposed for handling those issues, focusing on approaches publicly available in open-source environments such as R and Bioconductor. We hope that the processing tools and analysis flowchart described herein will facilitate researchers to effectively use these powerful DNA methylation array-based platforms, thereby advancing our understanding of human health and disease.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Medicine
Publisher: Nature Publishing Group
ISSN: 0007-0920
Date of First Compliant Deposit: 8 December 2016
Last Modified: 06 Jan 2024 03:08
URI: https://orca.cardiff.ac.uk/id/eprint/96186

Citation Data

Cited 117 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics