| Literature DB >> 28119308 |
Peter J Van der Most, Leanne K Küpers, Harold Snieder, Ilja Nolte.
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. Availability and Implementation: https://cran.r-project.org/web/packages/QCEWAS. Contact: i.m.nolte@umcg.nl.Mesh:
Year: 2017 PMID: 28119308 DOI: 10.1093/bioinformatics/btw766
Source DB: PubMed Journal: Bioinformatics ISSN: 1367-4803 Impact factor: 6.937