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

Van der Most, Peter J; Küpers, Leanne K; Snieder, Harold; Nolte, Ilja · Bioinformatics · 2017

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Abstract

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. https://cran.r-project.org/web/packages/QCEWAS. i.m.nolte@umcg.nl.

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