The 2019 novel coronavirus resource

The 2019 novel coronavirus resource
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DOI:
10.16288/j.yczz.20-030
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发表时间:
2020-02-01
期刊:
Yichuan
影响因子:
--
通讯作者:
Bao, Yiming
Bao, Yiming
中科院分区:
其他
文献类型:
--
作者:
Zhao, Wenming;Song, Shuhui;Bao, Yiming

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被引文献

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自2019年12月以来,中国武汉持续爆发新型冠状病毒感染,截至2020年2月7日16时,已导致25个国家的31516人感染,638人死亡。导致这种肺炎的病毒随后被世界卫生组织命名为2019年新型冠状病毒(2019- ncov)。为促进新型冠状病毒疫情的数据共享和信息公开,我们构建了2019新型冠状病毒资源(2019nCoVR, https://bigd.big.ac.cn/ncov)。2019nCoVR全面整合了基因组和蛋白质组学序列及其元数据信息,这些数据信息来自全球流感数据共享倡议、国家生物技术信息中心、中国国家基因库、国家微生物学数据中心和国家生物信息中心/国家基因组学数据中心。它还整合了广泛的相关信息,包括科学文献、新闻和科学传播的热门文章,并提供基于收集到的所有2019-nCoV菌株的基因组变异分析结果的可视化功能。此外,2019nCoVR通过与CNCB/NGDC相关数据库的无缝链接,为原始序列读取和组装序列提供病毒数据提交和共享服务。本报告全面阐述了2019年ncovr的数据积累、管理、发布和利用,为开展病毒分类起源、基因组变异和进化、快速检测、药物研发、肺炎精准防治等研究奠定了重要基础。
An ongoing outbreak of a novel coronavirus infection in Wuhan, China since December 2019 has led to 31,516 infected persons and 638 deaths across 25 countries (till 16:00 on February 7, 2020). The virus causing this pneumonia was then named as the 2019 novel coronavirus (2019-nCoV) by the World Health Organization. To promote the data sharing and make all relevant information of 2019-nCoV publicly available, we construct the 2019 Novel Coronavirus Resource (2019nCoVR, https://bigd.big.ac.cn/ncov). 2019nCoVR features comprehensive integration of genomic and proteomic sequences as well as their metadata information from the Global Initiative on Sharing All Influenza Data, National Center for Biotechnology Information, China National GeneBank, National Microbiology Data Center and China National Center for Bioinformation (CNCB)/National Genomics Data Center (NGDC). It also incorporates a wide range of relevant information including scientific literatures, news, and popular articles for science dissemination, and provides visualization functionalities for genome variation analysis results based on all collected 2019-nCoV strains. Moreover, by linking seamlessly with related databases in CNCB/NGDC, 2019nCoVR offers virus data submission and sharing services for raw sequence reads and assembled sequences. In this report, we provide comprehensive descriptions on data deposition, management, release and utility in 2019nCoVR, laying important foundations in aid of studies on virus classification and origin, genome variation and evolution, fast detection, drug development and pneumonia precision prevention and therapy.