RaMWAS: fast methylome-wide association study pipeline for enrichment platforms.
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- Record sourced from PubMed, PMID 29447401.
- Also identified by DOI 10.1093/bioinformatics/bty069 and PMC identifier 6022807.
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Abstract
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. 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. Release version and vignettes with small case study at bioconductor.org/packages/ramwas Development version at github.com/andreyshabalin/ramwas. Supplementary data are available at Bioinformatics online.
Medical subject headings
- Computational Biology
- DNA Methylation
- Software