4.8 Article

Genome Variation Map: a data repository of genome variations in BIG Data Center

期刊

NUCLEIC ACIDS RESEARCH
卷 46, 期 D1, 页码 D944-D949

出版社

OXFORD UNIV PRESS
DOI: 10.1093/nar/gkx986

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资金

  1. Strategic Priority Research Program of the Chinese Academy of Sciences [XDB13040500, XDA08020102]
  2. National Key Research & Development Program of China [2016YFE0206600, 2017YFC0907502]
  3. National Key Research Program of China [2016YFC0901603, 2016YFB0201702, 2016YFC0901903]
  4. National Programs for High Technology Research and Development [863 Program] [2015AA020108]
  5. Youth Innovation Promotion Association of Chinese Academy of Science [2017141]
  6. National Natural Science Foundation of China [30900831]
  7. International Partnership Program of the Chinese Academy of Sciences [153F11KYSB20160008]
  8. Key Program of the Chinese Academy of Sciences [KJZD-EW-L14]
  9. Key Technology Talent Program of the Chinese Academy of Sciences
  10. 100 Talent Program of the Chinese Academy of Sciences
  11. Strategic Priority Research Program of the Chinese Academy of Sciences

向作者/读者索取更多资源

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 similar to 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.

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