epiGBS2: Improvements and evaluation of highly multiplexed, epiGBS-based reduced representation bisulfite sequencing Article Swipe
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Fleur Gawehns
,
Maarten Postuma
,
Morgane Van Antro
,
Adam Nunn
,
Bernice Sepers
,
Samar Fatma
,
Thomas P. van Gurp
,
Niels Wagemaker
,
A. Christa Mateman
,
Slavica Milanovic‐Ivanovic
,
Ivo Große
,
Kees van Oers
,
Philippine Vergeer
,
Koen J. F. Verhoeven
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.5519370
· OA: W4393720982
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.5519370
· OA: W4393720982
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 <em>Arabidopsis thaliana</em> and Great tit (<em>Parus major</em>), which confirmed overall good performance of epiGBS2. We provide here the raw bisulfite sequencing data of the epiGBS2 run for <em>Arabidopsis thaliana.</em> A detailed description of the laboratory protocol and an extensive manual of the bioinformatics pipeline are publicly accessible on github (https://github.com/nioo-knaw/epiGBS2) and zenodo (https://doi.org/10.5281/zenodo.4764652).
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