The Global Landscape of SARS-CoV-2 Genomes, Variants, and Haplotypes in 2019nCoVR
- Author:
Song SHUHUI
1
,
2
,
3
,
4
;
Ma LINA
;
Zou DONG
;
Tian DONGMEI
;
Li CUIPING
;
Zhu JUNWEI
;
Chen MEILI
;
Wang ANKE
;
Ma YINGKE
;
Li MENGWEI
;
Teng XUFEI
;
Cui YING
;
Duan GUANGYA
;
Zhang MOCHEN
;
Jin TONG
;
Shi CHENGMIN
;
Du ZHENGLIN
;
Zhang YADONG
;
Liu CHUANDONG
;
Li RUJIAO
;
Zeng JINGYAO
;
Hao LILI
;
Jiang SHUAI
;
Chen HUA
;
Han DALI
;
Xiao JINGFA
;
Zhang ZHANG
;
Zhao WENMING
;
Xue YONGBIAO
;
Bao YIMING
Author Information
1. China National Center for Bioinformation,Beijing 100101,China
2. National Genomics Data Center,Beijing Institute of Genomics,Chinese Academy of Sciences,Beijing 100101,China
3. CAS Key Laboratory of Genome Sciences and Information,Beijing Institute of Genomics,Chinese Academy of Sciences,Beijing 100101,China
4. University of Chinese Academy of Sciences,Beijing 100049,China
- Keywords:
2019nCoVR;
SARS-CoV-2;
Database;
Genomic variation;
Haplotype
- From:
Genomics, Proteomics & Bioinformatics
2020;18(6):749-759
- CountryChina
- Language:Chinese
-
Abstract:
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 integra-tion 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, hap-lotypes, 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/.
