Li Cuiping, Ma Lina, Zou Dong, Zhang Rongqin, Bai Xue, Li Lun, Wu Gangao, Huang Tianhao, Zhao Wei, Jin Enhui, Bao Yiming, Song Shuhui
National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China.
National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China; CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China.
Genomics Proteomics Bioinformatics. 2023 Oct;21(5):1066-1079. doi: 10.1016/j.gpb.2023.10.004. Epub 2023 Oct 26.
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/.
2019年冠状病毒资源库（RCoV19）是一个开放获取的信息资源库，致力于提供有关严重急性呼吸综合征冠状病毒2（SARS-CoV-2）的基因组、突变和变体的有价值数据。在RCoV19的此次更新版本中，我们在先前版本的基础上取得了重大改进和进展。首先，我们实施了一个高度完善的基因组数据管理模型。该模型现在具有自动化集成管道和优化的管理规则，能够对RCoV19中的数据进行高效的每日更新。其次，我们开发了一个全球和区域谱系进化监测平台以及一个疫情风险预警系统。这些新增内容有助于全面了解SARS-CoV-2的进化和传播模式，从而制定更好的防范和应对策略。第三，我们开发了一个强大的交互式突变谱比较模块。该模块允许用户比较和分析突变模式，有助于检测潜在的新谱系。此外，我们纳入了一个关于突变效应的综合知识库。该知识库是获取有关特定突变功能影响信息的宝贵资源。总之，RCoV19是一个重要的科学资源库，在全球抗击COVID-19的斗争中提供有价值的数据、相关信息和技术支持。RCoV19的完整内容可在https://ngdc.cncb.ac.cn/ncov/上向公众开放获取。
