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The EpiDiverse Plant Epigenome-Wide Association Studies (EWAS) Pipeline
Bisulfite sequencing is a widely used technique for determining DNA methylation and its relationship with epigenetics, genetics, and environmental parameters. Various techniques were implemented for epigenome-wide association studies (EWAS) to reveal meaningful associations; however, there are only...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8594691/ https://www.ncbi.nlm.nih.gov/pubmed/34968299 http://dx.doi.org/10.3390/epigenomes5020012 |
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author | Can, Sultan Nilay Nunn, Adam Galanti, Dario Langenberger, David Becker, Claude Volmer, Katharina Heer, Katrin Opgenoorth, Lars Fernandez-Pozo, Noe Rensing, Stefan A. |
author_facet | Can, Sultan Nilay Nunn, Adam Galanti, Dario Langenberger, David Becker, Claude Volmer, Katharina Heer, Katrin Opgenoorth, Lars Fernandez-Pozo, Noe Rensing, Stefan A. |
author_sort | Can, Sultan Nilay |
collection | PubMed |
description | Bisulfite sequencing is a widely used technique for determining DNA methylation and its relationship with epigenetics, genetics, and environmental parameters. Various techniques were implemented for epigenome-wide association studies (EWAS) to reveal meaningful associations; however, there are only very few plant studies available to date. Here, we developed the EpiDiverse EWAS pipeline and tested it using two plant datasets, from P. abies (Norway spruce) and Q. lobata (valley oak). Hence, we present an EWAS implementation tested for non-model plant species and describe its use. |
format | Online Article Text |
id | pubmed-8594691 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-85946912021-12-28 The EpiDiverse Plant Epigenome-Wide Association Studies (EWAS) Pipeline Can, Sultan Nilay Nunn, Adam Galanti, Dario Langenberger, David Becker, Claude Volmer, Katharina Heer, Katrin Opgenoorth, Lars Fernandez-Pozo, Noe Rensing, Stefan A. Epigenomes Article Bisulfite sequencing is a widely used technique for determining DNA methylation and its relationship with epigenetics, genetics, and environmental parameters. Various techniques were implemented for epigenome-wide association studies (EWAS) to reveal meaningful associations; however, there are only very few plant studies available to date. Here, we developed the EpiDiverse EWAS pipeline and tested it using two plant datasets, from P. abies (Norway spruce) and Q. lobata (valley oak). Hence, we present an EWAS implementation tested for non-model plant species and describe its use. MDPI 2021-05-04 /pmc/articles/PMC8594691/ /pubmed/34968299 http://dx.doi.org/10.3390/epigenomes5020012 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Can, Sultan Nilay Nunn, Adam Galanti, Dario Langenberger, David Becker, Claude Volmer, Katharina Heer, Katrin Opgenoorth, Lars Fernandez-Pozo, Noe Rensing, Stefan A. The EpiDiverse Plant Epigenome-Wide Association Studies (EWAS) Pipeline |
title | The EpiDiverse Plant Epigenome-Wide Association Studies (EWAS) Pipeline |
title_full | The EpiDiverse Plant Epigenome-Wide Association Studies (EWAS) Pipeline |
title_fullStr | The EpiDiverse Plant Epigenome-Wide Association Studies (EWAS) Pipeline |
title_full_unstemmed | The EpiDiverse Plant Epigenome-Wide Association Studies (EWAS) Pipeline |
title_short | The EpiDiverse Plant Epigenome-Wide Association Studies (EWAS) Pipeline |
title_sort | epidiverse plant epigenome-wide association studies (ewas) pipeline |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8594691/ https://www.ncbi.nlm.nih.gov/pubmed/34968299 http://dx.doi.org/10.3390/epigenomes5020012 |
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