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MethBank 3.0: a database of DNA methylomes across a variety of species
MethBank (http://bigd.big.ac.cn/methbank) is a database that integrates high-quality DNA methylomes across a variety of species and provides an interactive browser for visualization of methylation data. Here, we present an updated implementation of MethBank (version 3.0) by incorporating more DNA me...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753180/ https://www.ncbi.nlm.nih.gov/pubmed/29161430 http://dx.doi.org/10.1093/nar/gkx1139 |
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author | Li, Rujiao Liang, Fang Li, Mengwei Zou, Dong Sun, Shixiang Zhao, Yongbing Zhao, Wenming Bao, Yiming Xiao, Jingfa Zhang, Zhang |
author_facet | Li, Rujiao Liang, Fang Li, Mengwei Zou, Dong Sun, Shixiang Zhao, Yongbing Zhao, Wenming Bao, Yiming Xiao, Jingfa Zhang, Zhang |
author_sort | Li, Rujiao |
collection | PubMed |
description | MethBank (http://bigd.big.ac.cn/methbank) is a database that integrates high-quality DNA methylomes across a variety of species and provides an interactive browser for visualization of methylation data. Here, we present an updated implementation of MethBank (version 3.0) by incorporating more DNA methylomes from multiple species and equipping with more enhanced functionalities for data annotation and more friendly web interfaces for data presentation, search and visualization. MethBank 3.0 features large-scale integration of high-quality methylomes, involving 34 consensus reference methylomes derived from a large number of human samples, 336 single-base resolution methylomes from different developmental stages and/or tissues of five plants, and 18 single-base resolution methylomes from gametes and early embryos at multiple stages of two animals. Additionally, it is enhanced by improving the functionalities for data annotation, which accordingly enables systematic identification of methylation sites closely associated with age, sites with constant methylation levels across different ages, differentially methylated promoters, age-specific differentially methylated cytosines/regions, and methylated CpG islands. Moreover, MethBank provides tools to estimate human methylation age online and to identify differentially methylated promoters, respectively. Taken together, MethBank is upgraded with significant improvements and advances over the previous version, which is of great help for deciphering DNA methylation regulatory mechanisms for epigenetic studies. |
format | Online Article Text |
id | pubmed-5753180 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-57531802018-01-05 MethBank 3.0: a database of DNA methylomes across a variety of species Li, Rujiao Liang, Fang Li, Mengwei Zou, Dong Sun, Shixiang Zhao, Yongbing Zhao, Wenming Bao, Yiming Xiao, Jingfa Zhang, Zhang Nucleic Acids Res Database Issue MethBank (http://bigd.big.ac.cn/methbank) is a database that integrates high-quality DNA methylomes across a variety of species and provides an interactive browser for visualization of methylation data. Here, we present an updated implementation of MethBank (version 3.0) by incorporating more DNA methylomes from multiple species and equipping with more enhanced functionalities for data annotation and more friendly web interfaces for data presentation, search and visualization. MethBank 3.0 features large-scale integration of high-quality methylomes, involving 34 consensus reference methylomes derived from a large number of human samples, 336 single-base resolution methylomes from different developmental stages and/or tissues of five plants, and 18 single-base resolution methylomes from gametes and early embryos at multiple stages of two animals. Additionally, it is enhanced by improving the functionalities for data annotation, which accordingly enables systematic identification of methylation sites closely associated with age, sites with constant methylation levels across different ages, differentially methylated promoters, age-specific differentially methylated cytosines/regions, and methylated CpG islands. Moreover, MethBank provides tools to estimate human methylation age online and to identify differentially methylated promoters, respectively. Taken together, MethBank is upgraded with significant improvements and advances over the previous version, which is of great help for deciphering DNA methylation regulatory mechanisms for epigenetic studies. Oxford University Press 2018-01-04 2017-11-17 /pmc/articles/PMC5753180/ /pubmed/29161430 http://dx.doi.org/10.1093/nar/gkx1139 Text en © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Database Issue Li, Rujiao Liang, Fang Li, Mengwei Zou, Dong Sun, Shixiang Zhao, Yongbing Zhao, Wenming Bao, Yiming Xiao, Jingfa Zhang, Zhang MethBank 3.0: a database of DNA methylomes across a variety of species |
title | MethBank 3.0: a database of DNA methylomes across a variety of species |
title_full | MethBank 3.0: a database of DNA methylomes across a variety of species |
title_fullStr | MethBank 3.0: a database of DNA methylomes across a variety of species |
title_full_unstemmed | MethBank 3.0: a database of DNA methylomes across a variety of species |
title_short | MethBank 3.0: a database of DNA methylomes across a variety of species |
title_sort | methbank 3.0: a database of dna methylomes across a variety of species |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753180/ https://www.ncbi.nlm.nih.gov/pubmed/29161430 http://dx.doi.org/10.1093/nar/gkx1139 |
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