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资源简介:
MRSA CLEAR
应用场景:
创建时间:
2014-03-27
相关数据集
NDARO
NDARO(国家抗生素耐药性生物体数据库)是由NCBI维护的中央数据枢纽,旨在为研究人员提供抗生素耐药性(AMR)数据,以促进病原体的实时监测。该数据库是跨机构合作的结果,收集和提供遗传及抗生素敏感性数据,并开发了AMRFinderPlus等工具来识别细菌基因组中的AMR基因。
知名数据库240
SKAOptimisation_SupplementaryTables
Supplementary tables for the publication: Rapid, reference-free identification of bacterial pathogen transmission using an optimized split k -mer analysis pipeline
DataCite Commons2024-09-06 更新90
Whole blood transcriptomics from MRSA bacteremia subjects
To study the whole blood trancriptomic signatures of MRSA infected patients after antibiotic treatment, we performed whole blood RNA sequencing on 88 subjects with MRSA infection.
NIAID Data Ecosystem60
Data_file_9.xlsx
Whole genome statistics of the Priestia aryabhattai (kcgeb_S4)
Figshare2024-04-06 更新150
Table_5_Genomic Analysis of Molecular Bacterial Mechanisms of Resistance to Phage Infection.XLS
To optimize phage therapy, we need to understand how bacteria evolve against phage attacks. One of the main problems of phage therapy is the appearance of bacterial resistance variants. The use of gen
NIAID Data Ecosystem80



