QCEWAS: automated quality control of results of epigenome-wide association studies.

Authors :: Van der Most PJ
Küpers LK
Snieder H
Nolte I
Source :: Bioinformatics (Oxford, England) [Bioinformatics] 2017 Apr 15; Vol. 33 (8), pp. 1243-1245.
Publication Year :: 2017
Abstract: Summary: The increasing popularity of epigenome-wide association studies (EWAS) has led to the establishment of several large international meta-analysis consortia. However, when using data originating from multiple sources, a thorough and centralized quality control is essential. To facilitate this, we developed the QCEWAS R package. QCEWAS enables automated quality control of results files of EWAS. QCEWAS produces cohort-specific statistics and graphs to interpret the quality of the results files, graphs comparing results of multiple cohorts, as well as cleaned input files ready for meta-analysis.<br />Availability and Implementation: https://cran.r-project.org/web/packages/QCEWAS.<br />Contact: i.m.nolte@umcg.nl.<br /> (© The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com)

Subjects :: Quality Control
Genome-Wide Association Study standards
Software

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