摘要
On January 22,2020,China National Center for Bioinformation(CNCB)released the 2019 Novel Coronavirus Resource(2019nCoVR),an open-access information resource for the severe acute respiratory syndrome coronavirus 2(SARS-CoV-2).2019nCoVR features a comprehensive integration of sequence and clinical information for all publicly available SARS-CoV-2 isolates,which are manually curated with value-added annotations and quality evaluated by an automated in-house pipeline.Of particular note,2019nCoVR offers systematic analyses to generate a dynamic landscape of SARS-CoV-2 genomic variations at a global scale.It provides all identified variants and their detailed statistics for each virus isolate,and congregates the quality score,functional annotation,and population frequency for each variant.Spatiotemporal change for each variant can be visualized and historical viral haplotype network maps for the course of the outbreak are also generated based on all complete and high-quality genomes available.Moreover,2019nCoVR provides a full collection of SARS-CoV-2 relevant literature on the coronavirus disease 2019(COVID-19),including published papers from PubMed as well as preprints from services such as bioRxiv and medRxiv through Europe PMC.Furthermore,by linking with relevant databases in CNCB,2019nCoVR offers data submission services for raw sequence reads and assembled genomes,and data sharing with NCBI.Collectively,SARS-CoV-2 is updated daily to collect the latest information on genome sequences,variants,haplotypes,and literature for a timely reflection,making 2019nCoVR a valuable resource for the global research community.2019nCoVR is accessible at https://bigd.big.ac.cn/ncov/.
基金
This work was supported by grants from the Strategic PriorityResearch Program of Chinese Academy of Sciences(GrantNos.XDA19090116,XDA19050302,and XDB38030400)awarded to SS,ZZ,and ML
the National Key R&D Programof China(Grant Nos.2020YFC0848900,2020YFC0847000,2016YFE0206600,and 2017YFC0907502)
the 13th Five-yearInformatization Plan of Chinese Academy of Sciences(GrantNo.XXH13505-05)
Genomics Data Center Construction ofChinese Academy of Sciences(Grant No.XXH-13514-0202)
the Open Biodiversity and Health Big Data Programme ofInternational Union of Biological Sciences,International Part-nership Program of Chinese Academy of Sciences(Grant No.153F11KYSB20160008)
the Professional Association of theAlliance of International Science Organizations(Grant No.ANSO-PA-2020-07)
This work was also supported by KCWong Education Foundation to ZZ
the YouthInnovation Promotion Association of Chinese Academy ofSciences(Grant Nos.2017141 and 2019104)awarded to SSand ML.
