RaMWAS: fast methylome-wide association study pipeline for enrichment platforms | Zendy

Andrey A. Shabalin | Zendy; Mohammad W. Hattab | Zendy; Shaunna L. Clark | Zendy; Robin F. Chan | Zendy; Gaurav Kumar | Zendy; Karolina A. Åberg | Zendy; Edwin J. C. G. van den Oord | Zendy

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RaMWAS: fast methylome-wide association study pipeline for enrichment platforms

Author(s) -

Andrey A. Shabalin,

Mohammad W. Hattab,

Shaunna L. Clark,

Robin F. Chan,

Gaurav Kumar,

Karolina A. Åberg,

Edwin J. C. G. van den Oord

Publication year - 2018

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bty069

Subject(s) - bioconductor , computer science , pipeline (software) , dna methylation , open source , software , r package , methylation , computational biology , data mining , biology , operating system , genetics , computational science , dna , gene , gene expression

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.

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