Original paper
eFORGE: A Tool for Identifying Cell Type-Specific Signal in Epigenomic Data
Abstract
Epigenome-wide association studies (EWAS) provide an alternative approach for studying human disease through consideration of non-genetic variants such as altered DNA methylation. To advance the complex interpretation of EWAS, we developed eFORGE (http://eforge.cs.ucl.ac.uk/), a new standalone and web-based tool for the analysis and interpretation of EWAS data. eFORGE determines the cell type-specific regulatory component of a set of...
Paper Details
Title
eFORGE: A Tool for Identifying Cell Type-Specific Signal in Epigenomic Data
Published Date
Nov 1, 2016
Journal
Volume
17
Issue
8
Pages
2137 - 2150
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Notes
History