Genome Variation Map: a data repository of genome variations in BIG Data Center.
Genome Variation Map: a data repository of genome variations in BIG Data Center.
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DOI：
10.1093/nar/gkx986
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发表时间：
2018-01-04
影响因子：
14.9
通讯作者：
Zhang Z
中科院分区：
文献类型：
--
作者：
Song S;Tian D;Li C;Tang B;Dong L;Xiao J;Bao Y;Zhao W;He H;Zhang Z
基因组变异图（GVM; http://bigd.big.ac.cn/gvm/）是基因组变异的公共数据存储库。作为中国科学院北京基因组研究所大数据中心的核心资源，GVM致力于广泛物种基因组变异的收集、整合和可视化，接受来自世界各地的不同类型基因组变异的提交，并免费开放访问所有公开可用的数据，以支持全球的研究活动。与现有的相关数据库不同，GVM的特点是整合了包括人类、栽培植物和驯养动物在内的广泛物种的大量基因组变异。具体而言，目前实施的GVM不仅包含鸡、狗、山羊、人、杨树、水稻和番茄等19个物种的总共约49亿个变异，还包含8669个个体基因型和13 262个人工筛选的非人类物种的高质量基因型-表型关联。此外，GVM还为数据提交、浏览、搜索和可视化提供了友好直观的web界面。总的来说，GVM是基因组变异数据存档的重要资源，有助于更好地理解群体遗传多样性和破译与不同表型相关的复杂机制。
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.
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来自1,092个人基因组的遗传变异的综合图。
影响因子：
64.8
作者：
通讯作者：
--
影响因子：
14.9
作者：
NCBI Resource Coordinators
通讯作者：
NCBI Resource Coordinators
影响因子：
14.9
作者：
Kodama Y;Shumway M;Leinonen R;International Nucleotide Sequence Database Collaboration
通讯作者：
International Nucleotide Sequence Database Collaboration
影响因子：
12.3
作者：
McLaren W;Gil L;Hunt SE;Riat HS;Ritchie GR;Thormann A;Flicek P;Cunningham F
通讯作者：
Cunningham F
影响因子：
14.9
作者：
Zou D;Sun S;Li R;Liu J;Zhang J;Zhang Z
通讯作者：
Zhang Z