Zoonosis: a comprehensive database of zoonotic pathogens.

IF 3.6 4区生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY

Database: The Journal of Biological Databases and Curation Pub Date : 2025-01-18 DOI:10.1093/database/baaf062

Boyuan Zhang, Dan Liu, Weiwen Wang, Xiaoqiang Li, Yifei Xie, Huitong Li, Hongmei Zhou, Jianshuai Gao, Hui Jiang, Xuezheng Fan, Jiabo Ding, Qingchun Shen, Xizheng Ma

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引用次数: 0

Abstract

Emerging infectious diseases pose a significant threat to global public health and economic security, with zoonoses accounting for a substantial proportion. Livestock such as cattle and sheep are critical reservoirs for zoonotic pathogens and play a key role in transmitting these pathogens to humans and other animals, including dogs and wildlife, due to their close interaction with diverse populations. In this study, we introduce Zoonosis (http://zoonosis.cn/zoonosis/), a comprehensive database that integrates data on pathogens, including Brucella, Mycobacterium tuberculosis, and Bacillus anthracis. Currently, Zoonosis integrates over 4500 samples from more than 60 countries, with a total data volume of 1.8TB, providing a global perspective on zoonotic disease distribution. Equipped with user-friendly visualization and analysis tools, Zoonosis enables rapid biological data interpretation, aiding disease diagnosis and prevention. This resource supports virology, zoology, and epidemiology experts in monitoring cross-species transmissions and mitigating future zoonotic outbreaks. Database URL: http://zoonosis.cn/zoonosis/.

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人畜共患病：人畜共患病病原体的综合数据库。

新出现的传染病对全球公共卫生和经济安全构成重大威胁，其中人畜共患病占很大比例。牛和羊等牲畜是人畜共患病原体的重要宿主，由于它们与不同种群密切互动，在将这些病原体传播给人类和其他动物（包括狗和野生动物）方面发挥着关键作用。在这项研究中，我们介绍了人畜共患病（http://zoonosis.cn/zoonosis/），这是一个综合病原体数据的数据库，包括布鲁氏菌、结核分枝杆菌和炭疽杆菌。目前，人畜共患疾病整合了来自60多个国家的4500多个样本，总数据量为1.8TB，提供了人畜共患疾病分布的全球视角。配备用户友好的可视化和分析工具，人畜共患病能够快速的生物数据解释，帮助疾病诊断和预防。该资源支持病毒学、动物学和流行病学专家监测跨物种传播和减轻未来人畜共患病暴发。数据库地址：http://zoonosis.cn/zoonosis/。

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

Database: The Journal of Biological Databases and Curation MATHEMATICAL & COMPUTATIONAL BIOLOGY-

CiteScore

9.00

自引率

3.40%

发文量

100

审稿时长

>12 weeks

期刊介绍： Huge volumes of primary data are archived in numerous open-access databases, and with new generation technologies becoming more common in laboratories, large datasets will become even more prevalent. The archiving, curation, analysis and interpretation of all of these data are a challenge. Database development and biocuration are at the forefront of the endeavor to make sense of this mounting deluge of data. Database: The Journal of Biological Databases and Curation provides an open access platform for the presentation of novel ideas in database research and biocuration, and aims to help strengthen the bridge between database developers, curators, and users.