Skip to main navigation Skip to search Skip to main content

EFORGE v2.0: Updated analysis of cell type-specific signal in epigenomic data

  • Charles E. Breeze*
  • , Alex P. Reynolds
  • , Jenny Van Dongen
  • , Ian Dunham
  • , John Lazar
  • , Shane Neph
  • , Jeff Vierstra
  • , Guillaume Bourque
  • , Andrew E. Teschendorff
  • , John A. Stamatoyannopoulos
  • , Stephan Beck
  • *Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

The Illumina Infinium EPIC BeadChip is a new high-throughput array for DNA methylation analysis, extending the earlier 450k array by over 400 000 new sites. Previously, a method named eFORGE was developed to provide insights into cell type-specific and cell-composition effects for 450k data. Here, we present a significantly updated and improved version of eFORGE that can analyze both EPIC and 450k array data. New features include analysis of chromatin states, transcription factor motifs and DNase I footprints, providing tools for epigenome-wide association study interpretation and epigenome editing.

Original languageEnglish
Pages (from-to)4767-4769
Number of pages3
JournalBioinformatics
Volume35
Issue number22
DOIs
Publication statusPublished - 1 Nov 2019

Funding

C.E.B. was supported by a fellowship from the EU-FP7 project EpiTrain [316758]. Research in S.B.'s group was supported by the Wellcome Trust [99148]

FundersFunder number
EU-FP7
Wellcome Trust99148
Seventh Framework Programme257082, 316758, 282510

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 12 - Responsible Consumption and Production
      SDG 12 Responsible Consumption and Production

    Fingerprint

    Dive into the research topics of 'EFORGE v2.0: Updated analysis of cell type-specific signal in epigenomic data'. Together they form a unique fingerprint.

    Cite this