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

被引：27
|
作者：
Van der Most, Peter J. [1 ]
Kupers, Leanne K. [1 ]
Snieder, Harold [1 ]
Nolte, Ilja [1 ]
机构：
[1] Univ Groningen, Univ Med Ctr Groningen, Dept Epidemiol, Groningen, Netherlands
来源：
BIOINFORMATICS | 2017年 / 33卷 / 08期
关键词：
DNA METHYLATION DATA; METAANALYSIS; SMOKING;
D O I：
10.1093/bioinformatics/btw766
中图分类号：
Q5 [生物化学];
学科分类号：
071010 ; 081704 ;
摘要：
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. Availability and Implementation: https://cran.r-project.org/web/packages/QCEWAS Contact:i.m.nolte@umcg.nl
引用
收藏
页码：1243 / 1245
页数：3
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