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Methylation Analysis Using Microarrays: Analysis and Interpretation.

Chapter in book
Authors Teresia Kling
Helena Carén
Published in Methods in molecular biology (Clifton, N.J.)
Pages 205-217
ISSN 1940-6029
Publisher Humana Press
Place of publication New York, NY
Publication year 2019
Published at Sahlgrenska Cancer Center
Department of Laboratory Medicine
Pages 205-217
Language en
Links dx.doi.org/10.1007/978-1-4939-9004-...
www.ncbi.nlm.nih.gov/entrez/query.f...
Keywords DNA Methylation, Epigenomics, methods, Genome, Human, Humans, Neoplasms, genetics, metabolism, Oligonucleotide Array Sequence Analysis, methods, Software
Subject categories Medical Genetics, Cancer and Oncology

Abstract

This chapter discusses analysis and interpretation of large-scale Illumina DNA methylation microarray data, used in the context of cancer studies. We outline commonly used normalization procedures and list issues to consider regarding data preprocessing. Focusing on software packages for R, we describe methods for finding features in the methylation data that are of importance for generating and testing hypotheses in cancer research, like differentially methylated positions or regions and global methylation trends.

Page Manager: Webmaster|Last update: 9/11/2012
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