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Genome Variation Map: a data repository of genome variations in BIG Data Center
The Genome Variation Map (GVM; http://bigd.big.ac.cn/gvm/) is a public data repository of genome variations. As a core resource in the BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, GVM dedicates to collect, integrate and visualize genome variations for a wide range of...
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/PMC5753358/ https://www.ncbi.nlm.nih.gov/pubmed/29069473 http://dx.doi.org/10.1093/nar/gkx986 |
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author | Song, Shuhui Tian, Dongmei Li, Cuiping Tang, Bixia Dong, Lili Xiao, Jingfa Bao, Yiming Zhao, Wenming He, Hang Zhang, Zhang |
author_facet | Song, Shuhui Tian, Dongmei Li, Cuiping Tang, Bixia Dong, Lili Xiao, Jingfa Bao, Yiming Zhao, Wenming He, Hang Zhang, Zhang |
author_sort | Song, Shuhui |
collection | PubMed |
description | The Genome Variation Map (GVM; http://bigd.big.ac.cn/gvm/) is a public data repository of genome variations. As a core resource in the BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, GVM dedicates to collect, integrate and visualize genome variations for a wide range of species, accepts submissions of different types of genome variations from all over the world and provides free open access to all publicly available data in support of worldwide research activities. Unlike existing related databases, GVM features integration of a large number of genome variations for a broad diversity of species including human, cultivated plants and domesticated animals. Specifically, the current implementation of GVM not only houses a total of ∼4.9 billion variants for 19 species including chicken, dog, goat, human, poplar, rice and tomato, but also incorporates 8669 individual genotypes and 13 262 manually curated high-quality genotype-to-phenotype associations for non-human species. In addition, GVM provides friendly intuitive web interfaces for data submission, browse, search and visualization. Collectively, GVM serves as an important resource for archiving genomic variation data, helpful for better understanding population genetic diversity and deciphering complex mechanisms associated with different phenotypes. |
format | Online Article Text |
id | pubmed-5753358 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-57533582018-01-05 Genome Variation Map: a data repository of genome variations in BIG Data Center Song, Shuhui Tian, Dongmei Li, Cuiping Tang, Bixia Dong, Lili Xiao, Jingfa Bao, Yiming Zhao, Wenming He, Hang Zhang, Zhang Nucleic Acids Res Database Issue The Genome Variation Map (GVM; http://bigd.big.ac.cn/gvm/) is a public data repository of genome variations. As a core resource in the BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, GVM dedicates to collect, integrate and visualize genome variations for a wide range of species, accepts submissions of different types of genome variations from all over the world and provides free open access to all publicly available data in support of worldwide research activities. Unlike existing related databases, GVM features integration of a large number of genome variations for a broad diversity of species including human, cultivated plants and domesticated animals. Specifically, the current implementation of GVM not only houses a total of ∼4.9 billion variants for 19 species including chicken, dog, goat, human, poplar, rice and tomato, but also incorporates 8669 individual genotypes and 13 262 manually curated high-quality genotype-to-phenotype associations for non-human species. In addition, GVM provides friendly intuitive web interfaces for data submission, browse, search and visualization. Collectively, GVM serves as an important resource for archiving genomic variation data, helpful for better understanding population genetic diversity and deciphering complex mechanisms associated with different phenotypes. Oxford University Press 2018-01-04 2017-10-23 /pmc/articles/PMC5753358/ /pubmed/29069473 http://dx.doi.org/10.1093/nar/gkx986 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 Song, Shuhui Tian, Dongmei Li, Cuiping Tang, Bixia Dong, Lili Xiao, Jingfa Bao, Yiming Zhao, Wenming He, Hang Zhang, Zhang Genome Variation Map: a data repository of genome variations in BIG Data Center |
title | Genome Variation Map: a data repository of genome variations in BIG Data Center |
title_full | Genome Variation Map: a data repository of genome variations in BIG Data Center |
title_fullStr | Genome Variation Map: a data repository of genome variations in BIG Data Center |
title_full_unstemmed | Genome Variation Map: a data repository of genome variations in BIG Data Center |
title_short | Genome Variation Map: a data repository of genome variations in BIG Data Center |
title_sort | genome variation map: a data repository of genome variations in big data center |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753358/ https://www.ncbi.nlm.nih.gov/pubmed/29069473 http://dx.doi.org/10.1093/nar/gkx986 |
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