RCoV19: A One-Stop Hub for SARS-CoV-2 Genome Data Integration, Variant Monitoring, and Risk Pre-Warning

Cuiping Li(Beijing Institute of Genomics), Lina Ma(Chinese Academy of Sciences), Dong Zou(Chinese Academy of Sciences), Rongqin Zhang(Beijing Institute of Genomics), Xue Bai(Beijing Institute of Genomics), Lun Li(Beijing Institute of Genomics), Gangao Wu(Chinese Academy of Sciences), Tianhao Huang(Chinese Academy of Sciences), Wei Zhao(Chinese Academy of Sciences), Enhui Jin(Chinese Academy of Sciences), Yīmíng Bào(Chinese Academy of Sciences), Shuhui Song(Chinese Academy of Sciences)
Genomics Proteomics & Bioinformatics
October 1, 2023
Cited by 11Open Access
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Abstract

The Resource for Coronavirus 2019 (RCoV19) is an open-access information resource dedicated to providing valuable data on the genomes, mutations, and variants of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In this updated implementation of RCoV19, we have made significant improvements and advancements over the previous version. Firstly, we have implemented a highly refined genome data curation model. This model now features an automated integration pipeline and optimized curation rules, enabling efficient daily updates of data in RCoV19. Secondly, we have developed a global and regional lineage evolution monitoring platform, alongside an outbreak risk pre-warning system. These additions provide a comprehensive understanding of SARS-CoV-2 evolution and transmission patterns, enabling better preparedness and response strategies. Thirdly, we have developed a powerful interactive mutation spectrum comparison module. This module allows users to compare and analyze mutation patterns, assisting in the detection of potential new lineages. Furthermore, we have incorporated a comprehensive knowledgebase on mutation effects. This knowledgebase serves as a valuable resource for retrieving information on the functional implications of specific mutations. In summary, RCoV19 serves as a vital scientific resource, providing access to valuable data, relevant information, and technical support in the global fight against COVID-19. The complete contents of RCoV19 are available to the public at https://ngdc.cncb.ac.cn/ncov/.


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