Many open access transcriptomic data of coronavirus disease 2019 (COVID-19) were generated, they have great heterogeneity and are difficult to analyze. To utilize these invaluable data for better understanding of COVID-19, additional software should be developed. Especially for researchers without bioinformatic skills, a user-friendly platform is mandatory. We developed the COVID19db platform (http://hpcc.siat.ac.cn/covid19db & http://www.biomedical-web.com/covid19db) that provides 39 930 drug–target–pathway interactions and 95 COVID-19 related datasets, which include transcriptomes of 4127 human samples across 13 body sites associated with the exposure of 33 microbes and 33 drugs/agents. To facilitate data application, each dataset was standardized and annotated with rich clinical information. The platform further provides 14 different analytical applications to analyze various mechanisms underlying COVID-19. Moreover, the 14 applications enable researchers to customize grouping and setting for different analyses and allow them to perform analyses using their own data. Furthermore, a Drug Discovery tool is designed to identify potential drugs and targets at whole transcriptomic scale. For proof of concept, we used COVID19db and identified multiple potential drugs and targets for COVID-19. In summary, COVID19db provides user-friendly web interfaces to freely analyze, download data, and submit new data for further integration, it can accelerate the identification of effective strategies against COVID-19.

中文翻译：

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COVID19db：一个综合数据库平台，用于在整个转录组规模上发现 COVID-19 的潜在药物和靶标

产生了许多2019冠状病毒病（COVID-19）的开放获取转录组数据，它们具有很大的异质性并且难以分析。为了利用这些宝贵的数据更好地了解 COVID-19，应开发额外的软件。特别是对于没有生物信息技能的研究人员来说，一个用户友好的平台是强制性的。我们开发了 COVID19db 平台（http://hpcc.siat.ac.cn/covid19db 和 http://www.biomedical-web.com/covid19db），提供 39 930 个药物-靶标-通路相互作用和 95 个与 COVID-19 相关的相互作用数据集，其中包括 13 个身体部位的 4127 个人体样本的转录组，这些样本与 33 种微生物和 33 种药物/制剂的暴露相关。为了方便数据应用，每个数据集都经过标准化并注释有丰富的临床信息。该平台还提供 14 种不同的分析应用程序来分析 COVID-19 的各种机制。此外，这 14 个应用程序使研究人员能够为不同的分析定制分组和设置，并允许他们使用自己的数据进行分析。此外，药物发现工具旨在识别整个转录组规模的潜在药物和靶标。为了进行概念验证，我们使用了 COVID19db 并确定了针对 COVID-19 的多种潜在药物和靶点。总之，COVID19db 提供了用户友好的 Web 界面来自由分析、下载数据并提交新数据以进行进一步集成，它可以加速识别针对 COVID-19 的有效策略。