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OverCOVID:用于 SARS-CoV-2 生物信息学资源的综合网络门户。

OverCOVID: an integrative web portal for SARS-CoV-2 bioinformatics resources.

机构信息

Department of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou, 310058, China.

Bielefeld University, Faculty of Technology, Bioinformatics and Medical Informatics Department, Bielefeld, Germany.

出版信息

J Integr Bioinform. 2021 Mar 19;18(1):9-17. doi: 10.1515/jib-2020-0046.

Abstract

Outbreaks of COVID-19 caused by the novel coronavirus SARS-CoV-2 is still a threat to global human health. In order to understand the biology of SARS-CoV-2 and developing drug against COVID-19, a vast amount of genomic, proteomic, interatomic, and clinical data is being generated, and the bioinformatics researchers produced databases, webservers and tools to gather those publicly available data and provide an opportunity of analyzing such data. However, these bioinformatics resources are scattered and researchers need to find them from different resources discretely. To facilitate researchers in finding the resources in one frame, we have developed an integrated web portal called OverCOVID (http://bis.zju.edu.cn/overcovid/). The publicly available webservers, databases and tools associated with SARS-CoV-2 have been incorporated in the resource page. In addition, a network view of the resources is provided to display the scope of the research. Other information like SARS-CoV-2 strains is visualized and various layers of interaction resources is listed in distinct pages of the web portal. As an integrative web portal, the OverCOVID will help the scientist to search the resources and accelerate the clinical research of SARS-CoV-2.

摘要

由新型冠状病毒 SARS-CoV-2 引起的 COVID-19 疫情仍然对全球人类健康构成威胁。为了了解 SARS-CoV-2 的生物学特性并开发针对 COVID-19 的药物,大量的基因组、蛋白质组、原子间和临床数据正在生成,生物信息学研究人员创建了数据库、网络服务器和工具来收集这些公开可用的数据,并提供分析这些数据的机会。然而,这些生物信息学资源分散,研究人员需要从不同的资源中分别找到它们。为了方便研究人员在一个框架内找到这些资源,我们开发了一个名为 OverCOVID(http://bis.zju.edu.cn/overcovid/)的集成网络门户。与 SARS-CoV-2 相关的公开网络服务器、数据库和工具已被整合到资源页面中。此外,还提供了资源的网络视图,以显示研究的范围。SARS-CoV-2 菌株等其他信息也以可视化的方式呈现,并且各种交互资源层都列在网络门户的不同页面中。作为一个集成的网络门户,OverCOVID 将帮助科学家搜索资源并加速 SARS-CoV-2 的临床研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2481/8035963/56ecf0fbacac/jib-18-20200046-g001.jpg

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