相关数据集
VarEPS-SCoV2
从基因组学和结构生物学的角度，该数据库全面分析了已知变异和虚拟变异对ACE2和中和抗体的理化性质、翻译效率、二级结构和结合能力的影响。基于人工智能的算法用于验证这些基因组学和结构生物学特征量在风险预测中的有效性。该分类器可进一步用于根据病毒株的传播性和对中和抗体的亲和力对病毒株进行分组。这种独特的资源使得快速评估关键部位的变异风险成为可能，并指导疫苗和药物的研发。
World Data Centre for Microorganisms80
ANI identity from 818 S. enterica genomes.
The research aims to provide insights into the sources of contamination, prevalence of common serovars, determination of sequence types, prediction of genes associated with antimicrobial resistance, a
Figshare2025-05-15 更新40
Escherichia coli O111 Genome sequencing and assembly
The rise in foodborne-related outbreaks of non O157 shiga-toxin producing E. coli (STECs) emphasizes the importance of developing improved methods to rapidly detect and characterize STECs. O111 is a m
NIAID Data Ecosystem60
GenomeTrakr Project: NJ Department of Agriculture, Animal Health Diagnostic Laboratory. Yersinia enterocolitica
Whole -genome sequencing of cultured Yersinia enterocolitica outside of routine foodborne pathogen surveillance and isolated from non-human clinical sources (food, water, environment, animals, etc) as
NIAID Data Ecosystem50
