coMET: visualisation of regional epigenome-wide association scan results and DNA co-methylation patterns

MARTİN T. C., YET İ., TSAİ P., BELL J. T.

BMC BIOINFORMATICS, vol.16, 2015 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 16
  • Publication Date: 2015
  • Doi Number: 10.1186/s12859-015-0568-2
  • Journal Name: BMC BIOINFORMATICS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Keywords: Epigenome-wide association scan, EWAS, DNA methylation, Co-methylation, Visualisation, Gene expression, Functional annotation, Bioconductor
  • Hacettepe University Affiliated: No

Abstract

Background: Epigenome-wide association scans (EWAS) are an increasingly powerful and widely-used approach to assess the role of epigenetic variation in human complex traits. However, this rapidly emerging field lacks dedicated visualisation tools that can display features specific to epigenetic datasets.