GVM Edit

Citations: 1

z-index: 0.5

Basic information
Short name GVM
Full name Genome Variation Map
Description The Genome Variation Map (GVM) is a public data repository of genome variations, including single nucleotide polymorphisms and small insertions and deletions, with particular focuses on human as well as cultivated plants and domesticated animals.
URL http://bigd.big.ac.cn/gvm/
Year founded 2017
Last update & version 2017-10-23 1.0
Availability Free to all users
Contact information
University/Institution hosted Beijing Institute of Genomics, Chinese Academy of Sciences
Address No.1 Beichen West Road, Chaoyang District, Beijing 100101, China
City Beijing
Province/State Beijing
Country/Region China
Contact name Zhang Zhang
Contact email gvm@big.ac.cn
Data information
Data object
  • Animal
  • Plant
Data type
  • DNA
Database category
  • Genotype phenotype and variation
Major organism
  • Homo sapiens
  • Oryza sativa
Keyword
  • genome variation
Publications
  • Genome Variation Map: a data repository of genome variations in BIG Data Center. [PMID: 29069473]
    Shuhui Song, Dongmei Tian, Cuiping Li, Bixia Tang, Lili Dong, Jingfa Xiao, Yiming Bao, Wenming Zhao, Hang He, Zhang Zhang

    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. � The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research.

    Nucleic acids research 2017:()

    1 Citations (from Europe PMC, 2019-01-26)

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Record metadata

  • Created on: 2017-11-05
    • ***d@***c.cn [2019-01-18]
    • ***lin@***c.cn [2017-11-06]
    • ***lin@***c.cn [2017-11-05]

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