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EWAS Open Platform: integrated data, knowledge and toolkit for epigenome-wide association study
Epigenome-Wide Association Study (EWAS) has become a standard strategy to discover DNA methylation variation of different phenotypes. Since 2018, we have developed EWAS Atlas and EWAS Data Hub to integrate a growing volume of EWAS knowledge and data, respectively. Here, we present EWAS Open Platform...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8728289/ https://www.ncbi.nlm.nih.gov/pubmed/34718752 http://dx.doi.org/10.1093/nar/gkab972 |
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author | Xiong, Zhuang Yang, Fei Li, Mengwei Ma, Yingke Zhao, Wei Wang, Guoliang Li, Zhaohua Zheng, Xinchang Zou, Dong Zong, Wenting Kang, Hongen Jia, Yaokai Li, Rujiao Zhang, Zhang Bao, Yiming |
author_facet | Xiong, Zhuang Yang, Fei Li, Mengwei Ma, Yingke Zhao, Wei Wang, Guoliang Li, Zhaohua Zheng, Xinchang Zou, Dong Zong, Wenting Kang, Hongen Jia, Yaokai Li, Rujiao Zhang, Zhang Bao, Yiming |
author_sort | Xiong, Zhuang |
collection | PubMed |
description | Epigenome-Wide Association Study (EWAS) has become a standard strategy to discover DNA methylation variation of different phenotypes. Since 2018, we have developed EWAS Atlas and EWAS Data Hub to integrate a growing volume of EWAS knowledge and data, respectively. Here, we present EWAS Open Platform (https://ngdc.cncb.ac.cn/ewas) that includes EWAS Atlas, EWAS Data Hub and the newly developed EWAS Toolkit. In the current implementation, EWAS Open Platform integrates 617 018 high-quality EWAS associations from 910 publications, covering 51 phenotypes, 275 diseases and 104 environmental factors. It also provides well-normalized DNA methylation array data and the corresponding metadata from 115 852 samples, which involve 707 tissues, 218 cell lines and 528 diseases. Taking advantage of integrated knowledge and data in EWAS Atlas and EWAS Data Hub, EWAS Open Platform equips with EWAS Toolkit, a powerful one-stop site for EWAS enrichment, annotation, and knowledge network construction and visualization. Collectively, EWAS Open Platform provides open access to EWAS knowledge, data and toolkit and thus bears great utility for a broader range of relevant research. |
format | Online Article Text |
id | pubmed-8728289 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-87282892022-01-05 EWAS Open Platform: integrated data, knowledge and toolkit for epigenome-wide association study Xiong, Zhuang Yang, Fei Li, Mengwei Ma, Yingke Zhao, Wei Wang, Guoliang Li, Zhaohua Zheng, Xinchang Zou, Dong Zong, Wenting Kang, Hongen Jia, Yaokai Li, Rujiao Zhang, Zhang Bao, Yiming Nucleic Acids Res Database Issue Epigenome-Wide Association Study (EWAS) has become a standard strategy to discover DNA methylation variation of different phenotypes. Since 2018, we have developed EWAS Atlas and EWAS Data Hub to integrate a growing volume of EWAS knowledge and data, respectively. Here, we present EWAS Open Platform (https://ngdc.cncb.ac.cn/ewas) that includes EWAS Atlas, EWAS Data Hub and the newly developed EWAS Toolkit. In the current implementation, EWAS Open Platform integrates 617 018 high-quality EWAS associations from 910 publications, covering 51 phenotypes, 275 diseases and 104 environmental factors. It also provides well-normalized DNA methylation array data and the corresponding metadata from 115 852 samples, which involve 707 tissues, 218 cell lines and 528 diseases. Taking advantage of integrated knowledge and data in EWAS Atlas and EWAS Data Hub, EWAS Open Platform equips with EWAS Toolkit, a powerful one-stop site for EWAS enrichment, annotation, and knowledge network construction and visualization. Collectively, EWAS Open Platform provides open access to EWAS knowledge, data and toolkit and thus bears great utility for a broader range of relevant research. Oxford University Press 2021-10-30 /pmc/articles/PMC8728289/ /pubmed/34718752 http://dx.doi.org/10.1093/nar/gkab972 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Database Issue Xiong, Zhuang Yang, Fei Li, Mengwei Ma, Yingke Zhao, Wei Wang, Guoliang Li, Zhaohua Zheng, Xinchang Zou, Dong Zong, Wenting Kang, Hongen Jia, Yaokai Li, Rujiao Zhang, Zhang Bao, Yiming EWAS Open Platform: integrated data, knowledge and toolkit for epigenome-wide association study |
title | EWAS Open Platform: integrated data, knowledge and toolkit for epigenome-wide association study |
title_full | EWAS Open Platform: integrated data, knowledge and toolkit for epigenome-wide association study |
title_fullStr | EWAS Open Platform: integrated data, knowledge and toolkit for epigenome-wide association study |
title_full_unstemmed | EWAS Open Platform: integrated data, knowledge and toolkit for epigenome-wide association study |
title_short | EWAS Open Platform: integrated data, knowledge and toolkit for epigenome-wide association study |
title_sort | ewas open platform: integrated data, knowledge and toolkit for epigenome-wide association study |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8728289/ https://www.ncbi.nlm.nih.gov/pubmed/34718752 http://dx.doi.org/10.1093/nar/gkab972 |
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