Identifying mislabeled and contaminated DNA methylation microarray data: an extended quality control toolset with examples from GEO

Identifying mislabeled and contaminated DNA methylation microarray data: an extended quality control toolset with examples from GEO

Abstract Background Mislabeled, contaminated or poorly performing samples can threaten power in methylation microarray analyses or even result in spurious associations. We describe a set of quality checks for the popular Illumina 450K and EPIC microarrays to identify problematic samples and demonstr...

Full description

Bibliographic Details
Main Authors: Jonathan A. Heiss, Allan C. Just
Format: Article
Language:English
Published: BMC 2018-06-01
Series:Clinical Epigenetics
Subjects:
DNA methylation
Epigenomics
Infinium
450K
EPIC
Quality control
Online Access:http://link.springer.com/article/10.1186/s13148-018-0504-1

Internet

http://link.springer.com/article/10.1186/s13148-018-0504-1

Similar Items