epiGBS2: Improvements and evaluation of highly demultiplexed, epiGBS-based RRBS

  • 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 C.A.M. Wagemaker (Creator)
  • A.C. Mateman (Creator)
  • Slavica Milanovic-Ivanovic (Creator)
  • Ivo Groβe (Creator)
  • K. van Oers (Creator)
  • Philippine Vergeer (Creator)
  • Koen J.F. Verhoeven (Creator)



This dataset was create to test the performance capabilities of the epiGBS 2.0 pipeline. We created a epiGBS dataset containing 44 A.thaliana individuals from 6 different accessions.
Date made available21 Sept 2021
PublisherNetherlands Institute of Ecology (NIOO-KNAW)


  • Raw sequence reads
  • Multispecies
  • Bioinformatic resources for eco-evo studies
  • Arabidopsis thaliana

Accession numbers

  • PRJNA764918

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