RaMWAS: fast methylome-wide association study pipeline for enrichment platforms. Academic Article uri icon


  • MOTIVATION: Enrichment-based technologies can provide measurements of DNA methylation at tens of millions of CpGs for thousands of samples. Existing tools for methylome-wide association studies cannot analyze datasets of this size and lack important features like principal component analysis, combined analysis with SNP data and outcome predictions that are based on all informative methylation sites. RESULTS: We present a Bioconductor R package called RaMWAS with a full set of tools for large-scale methylome-wide association studies. It is free, cross-platform, open source, memory efficient and fast. AVAILABILITY AND IMPLEMENTATION: Release version and vignettes with small case study at bioconductor.org/packages/ramwas Development version at github.com/andreyshabalin/ramwas. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

published proceedings

  • Bioinformatics

altmetric score

  • 5.75

author list (cited authors)

  • Shabalin, A. A., Hattab, M. W., Clark, S. L., Chan, R. F., Kumar, G., Aberg, K. A., & van den Oord, E.

citation count

  • 33

complete list of authors

  • Shabalin, Andrey A||Hattab, Mohammad W||Clark, Shaunna L||Chan, Robin F||Kumar, Gaurav||Aberg, Karolina A||van den Oord, Edwin JCG

editor list (cited editors)

  • Birol, I.

publication date

  • July 2018