five

Computational host range prediction

收藏
NIAID Data Ecosystem2026-05-01 收录
下载链接:
https://www.ncbi.nlm.nih.gov/bioproject/PRJNA1021557
下载链接
链接失效反馈
官方服务:
资源简介:
The rapid emergence and spread of antimicrobial resistance across the globe have prompted the usage of bacteriophages in a variety of applications. In order to effectively guide the application of bacteriophages, information about their host ranges - that is the bacterial strains or species that a bacteriophage can successfully infect and kill - is essential. Utilizing broad-spectrum (polyvalent) Gordonia bacteriophages with experimentally validated host ranges, we benchmarked the performance of several recently developed computational host range prediction tools that provide a promising and highly scalable supplement to traditional, but laborious, experimental procedures.
创建时间:
2023-09-27
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作