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论文题目: DoGSD: the dog and wolf genome SNP database
作者: Bing Bai; Wen-Ming Zhao; Bi-Xia Tang; Yan-Qing Wang; Lu Wang; Zhang Zhang; He-Chuan Yang; Yan-Hu Liu; Jun-Wei Zhu; David M. Irwin; Guo-Dong Wang*; Ya-Ping Zhang*
联系作者: wanggd@mail.kiz.ac.cn;zhangyp@mail.kiz.ac.cn
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发表年度: 2015
卷: 43
期: Database issue
页码: D777-D783
摘要: The rapid advancement of next-generation sequencing technology has generated a deluge of genomic data from domesticated dogs and their wild ancestor, grey wolves, which have simultaneously broadened our understanding of domestication and diseases that are shared by humans and dogs. To address the scarcity of single nucleotide polymorphism (SNP) data provided by authorized databases and to make SNP data more easily/friendly usable and available, we propose DoGSD (http://dogsd.big.ac.cn), the first canidae-specific database which focuses on whole genome SNP data from domesticated dogs and grey wolves. The DoGSD is a web-based, open-access resource comprising similar to 19 million high-quality whole-genome SNPs. In addition to the dbSNP data set (build 139), DoGSD incorporates a comprehensive collection of SNPs from two newly sequenced samples (1 wolf and 1 dog) and collected SNPs from three latest dog/wolf genetic studies (7 wolves and 68 dogs), which were taken together for analysis with the population genetic statistics, Fst. In addition, DoGSD integrates some closely related information including SNP annotation, summary lists of SNPs located in genes, synonymous and non-synonymous SNPs, sampling location and breed information. All these features make DoGSD a useful resource for in-depth analysis in dog-/wolf-related studies.
刊物名称: Nucleic Acids Research
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影响因子: 9.112 (2014)
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