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

IF 11.5 2区 生物学 Q1 GENETICS & HEREDITY
Cuiping Li , Lina Ma , Dong Zou , Rongqin Zhang , Xue Bai , Lun Li , Gangao Wu , Tianhao Huang , Wei Zhao , Enhui Jin , Yiming Bao , Shuhui Song
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引用次数: 0

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/.
RCoV19:严重急性呼吸系统综合征冠状病毒2型基因组数据整合、变异监测和风险预警的一站式中心。
2019冠状病毒资源(RCoV19)是一个开放获取的信息资源,致力于提供有关严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)基因组、突变和变异的宝贵数据。在这次RCoV19的更新实现中,我们比以前的版本有了显著的改进和进步。首先,我们实现了一个高度精细化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,能够有效地每日更新RCoV19中的数据。其次,我们开发了一个全球和区域谱系进化监测平台,以及疫情风险预警系统。这些补充内容提供了对严重急性呼吸系统综合征冠状病毒2型进化和传播模式的全面了解,有助于制定更好的准备和应对策略。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,帮助检测潜在的新谱系。此外,我们还整合了一个关于突变效应的全面知识库。该知识库是检索特定突变功能含义信息的宝贵资源。总之,RCoV19是一种重要的科学资源,为全球抗击新冠肺炎提供了宝贵的数据、相关信息和技术支持。RCoV19的完整内容可在网站上向公众提供https://ngdc.cncb.ac.cn/ncov/.
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Genomics, Proteomics & Bioinformatics
Genomics, Proteomics & Bioinformatics Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
14.30
自引率
4.20%
发文量
844
审稿时长
61 days
期刊介绍: Genomics, Proteomics and Bioinformatics (GPB) is the official journal of the Beijing Institute of Genomics, Chinese Academy of Sciences / China National Center for Bioinformation and Genetics Society of China. It aims to disseminate new developments in the field of omics and bioinformatics, publish high-quality discoveries quickly, and promote open access and online publication. GPB welcomes submissions in all areas of life science, biology, and biomedicine, with a focus on large data acquisition, analysis, and curation. Manuscripts covering omics and related bioinformatics topics are particularly encouraged. GPB is indexed/abstracted by PubMed/MEDLINE, PubMed Central, Scopus, BIOSIS Previews, Chemical Abstracts, CSCD, among others.
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