MethBank 3.0: a database of DNA methylomes across a variety of species
Abstract 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 mo...
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Veröffentlicht in: | Nucleic acids research 2018-01, Vol.46 (D1), p.D288-D295 |
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creator | Li, Rujiao Liang, Fang Li, Mengwei Zou, Dong Sun, Shixiang Zhao, Yongbing Zhao, Wenming Bao, Yiming Xiao, Jingfa Zhang, Zhang |
description | Abstract
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. |
doi_str_mv | 10.1093/nar/gkx1139 |
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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.</description><identifier>ISSN: 0305-1048</identifier><identifier>EISSN: 1362-4962</identifier><identifier>DOI: 10.1093/nar/gkx1139</identifier><identifier>PMID: 29161430</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>Animals ; CpG Islands ; Cytosine - metabolism ; Database Issue ; Databases, Genetic ; DNA Methylation ; Humans ; Mice ; Promoter Regions, Genetic ; Whole Genome Sequencing</subject><ispartof>Nucleic acids research, 2018-01, Vol.46 (D1), p.D288-D295</ispartof><rights>The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research. 2018</rights><rights>The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c478t-51197a5cc9c2dd99d5c2775475ca0d704dd9a6bc4ec6c10c883b79851332b0fc3</citedby><cites>FETCH-LOGICAL-c478t-51197a5cc9c2dd99d5c2775475ca0d704dd9a6bc4ec6c10c883b79851332b0fc3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753180/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753180/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,1598,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29161430$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Li, Rujiao</creatorcontrib><creatorcontrib>Liang, Fang</creatorcontrib><creatorcontrib>Li, Mengwei</creatorcontrib><creatorcontrib>Zou, Dong</creatorcontrib><creatorcontrib>Sun, Shixiang</creatorcontrib><creatorcontrib>Zhao, Yongbing</creatorcontrib><creatorcontrib>Zhao, Wenming</creatorcontrib><creatorcontrib>Bao, Yiming</creatorcontrib><creatorcontrib>Xiao, Jingfa</creatorcontrib><creatorcontrib>Zhang, Zhang</creatorcontrib><title>MethBank 3.0: a database of DNA methylomes across a variety of species</title><title>Nucleic acids research</title><addtitle>Nucleic Acids Res</addtitle><description>Abstract
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.</description><subject>Animals</subject><subject>CpG Islands</subject><subject>Cytosine - metabolism</subject><subject>Database Issue</subject><subject>Databases, Genetic</subject><subject>DNA Methylation</subject><subject>Humans</subject><subject>Mice</subject><subject>Promoter Regions, Genetic</subject><subject>Whole Genome Sequencing</subject><issn>0305-1048</issn><issn>1362-4962</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>TOX</sourceid><sourceid>EIF</sourceid><recordid>eNp9kDFPwzAQhS0EoqUwsaNMCAml9cV2HDMglUIBqcACs-U4ThuaxCVOKvrvSWmpYGF60r1P7-4eQqeA-4AFGZSqGkznnwBE7KEukDDwqQiDfdTFBDMfMI066Mi5d4yBAqOHqBMICIES3EXjJ1PPblQ590gfX3nKS1StYuWMZ1Pv9nnoFa2_ym1hnKd0ZV0r3lJVmalXa8QtjM6MO0YHqcqdOdlqD72N715HD_7k5f5xNJz4mvKo9hmA4IppLXSQJEIkTAecM8qZVjjhmLZDFcaaGh1qwDqKSMxFxICQIMapJj10vcldNHFhEm3KulK5XFRZoaqVtCqTf50ym8mpXUrGGYEItwEX24DKfjTG1bLInDZ5rkpjGydBhJyGBHDQopcb9PvtyqS7NYDlunnZNi-3zbf02e_LduxP1S1wvgFss_g36QvOn4wF</recordid><startdate>20180104</startdate><enddate>20180104</enddate><creator>Li, Rujiao</creator><creator>Liang, Fang</creator><creator>Li, Mengwei</creator><creator>Zou, Dong</creator><creator>Sun, Shixiang</creator><creator>Zhao, Yongbing</creator><creator>Zhao, Wenming</creator><creator>Bao, Yiming</creator><creator>Xiao, Jingfa</creator><creator>Zhang, Zhang</creator><general>Oxford University Press</general><scope>TOX</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20180104</creationdate><title>MethBank 3.0: a database of DNA methylomes across a variety of species</title><author>Li, Rujiao ; Liang, Fang ; Li, Mengwei ; Zou, Dong ; Sun, Shixiang ; Zhao, Yongbing ; Zhao, Wenming ; Bao, Yiming ; Xiao, Jingfa ; Zhang, Zhang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c478t-51197a5cc9c2dd99d5c2775475ca0d704dd9a6bc4ec6c10c883b79851332b0fc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Animals</topic><topic>CpG Islands</topic><topic>Cytosine - metabolism</topic><topic>Database Issue</topic><topic>Databases, Genetic</topic><topic>DNA Methylation</topic><topic>Humans</topic><topic>Mice</topic><topic>Promoter Regions, Genetic</topic><topic>Whole Genome Sequencing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Rujiao</creatorcontrib><creatorcontrib>Liang, Fang</creatorcontrib><creatorcontrib>Li, Mengwei</creatorcontrib><creatorcontrib>Zou, Dong</creatorcontrib><creatorcontrib>Sun, Shixiang</creatorcontrib><creatorcontrib>Zhao, Yongbing</creatorcontrib><creatorcontrib>Zhao, Wenming</creatorcontrib><creatorcontrib>Bao, Yiming</creatorcontrib><creatorcontrib>Xiao, Jingfa</creatorcontrib><creatorcontrib>Zhang, Zhang</creatorcontrib><collection>Oxford Journals Open Access Collection</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Nucleic acids research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Rujiao</au><au>Liang, Fang</au><au>Li, Mengwei</au><au>Zou, Dong</au><au>Sun, Shixiang</au><au>Zhao, Yongbing</au><au>Zhao, Wenming</au><au>Bao, Yiming</au><au>Xiao, Jingfa</au><au>Zhang, Zhang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>MethBank 3.0: a database of DNA methylomes across a variety of species</atitle><jtitle>Nucleic acids research</jtitle><addtitle>Nucleic Acids Res</addtitle><date>2018-01-04</date><risdate>2018</risdate><volume>46</volume><issue>D1</issue><spage>D288</spage><epage>D295</epage><pages>D288-D295</pages><issn>0305-1048</issn><eissn>1362-4962</eissn><abstract>Abstract
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.</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>29161430</pmid><doi>10.1093/nar/gkx1139</doi><oa>free_for_read</oa></addata></record> |
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subjects | Animals CpG Islands Cytosine - metabolism Database Issue Databases, Genetic DNA Methylation Humans Mice Promoter Regions, Genetic Whole Genome Sequencing |
title | MethBank 3.0: a database of DNA methylomes across a variety of species |
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