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

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

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.

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Bibliographic Details
Main Authors: Gawehns, Fleur, Postuma, Maarten, van Antro, Morgane, Nunn, Adam, Sepers, Bernice, Fatma, Samar, van Gurp, Thomas, Wagemaker, Niels C.A.M., Mateman, A.C., Milanovic-Ivanovic, Slavica, Groβe, Ivo, van Oers, K., Vergeer, Philippine, Verhoeven, Koen J.F.
Format: Dataset biblioteca
Published: Netherlands Institute of Ecology (NIOO-KNAW)
Subjects:Arabidopsis thaliana, Bioinformatic resources for eco-evo studies, Multispecies, Raw sequence reads,
Online Access:https://research.wur.nl/en/datasets/epigbs2-improvements-and-evaluation-of-highly-demultiplexed-epigb
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Description
Summary: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.

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