epiGBS2: Improvements and evaluation of highly multiplexed, epiGBS-based reduced representation bisulfite sequencing

  • Fleur Gawehns (Creator)
  • Maarten Postuma (Creator)
  • Morgane van Antro (Netherlands Institute of Ecology (NIOO-KNAW) (Creator)
  • Adam Nunn (Creator)
  • Bernice Sepers (Netherlands Institute of Ecology (NIOO-KNAW) (Creator)
  • Samar Fatma (Creator)
  • Thomas van Gurp (Netherlands Institute of Ecology (NIOO-KNAW) (Creator)
  • Niels Wagemaker (Creator)
  • A. Christa Mateman (Creator)
  • Slavica Milanovic-Ivanovic (Creator)
  • Ivo Grosse (Creator)
  • K. van Oers (Creator)
  • Philippine Vergeer (Creator)
  • Koen Verhoeven (Creator)



We present epiGBS2, a laboratory protocol based on epiGBS (Gurp et al., 2016) with a revised and user-friendly bioinformatics pipeline for a wide range of species with or without reference genome. Performance of several critical steps in epiGBS2 was evaluated against baseline data sets from Arabidopsis thaliana and Great tit (Parus major), which confirmed overall good performance of epiGBS2. We provide here the raw bisulfite sequencing data of the epiGBS2 run for Arabidopsis thaliana.
Date made available31 Dec 2021
PublisherNetherlands Institute of Ecology (NIOO-KNAW)


  • non-model species
  • bisulfite sequencing
  • reduced representation
  • double digest
  • de novo reference
  • DNA methylation
  • SNP calling

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