遇见数据集

Salmonella enterica subsp. enterica serovar Heidelberg Raw sequence reads

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NIAID Data Ecosystem2026-05-25 收录
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The objective of this study is to compare the ability of whole genome sequence based typing methods to distinguish strains of Salmonella enterica serovar Heidelberg involved in foodborne outbreaks. This serovar is highly clonal and isolates are indistinguishable by traditional typing methods.

本研究旨在对比基于全基因组序列的分型方法(Whole Genome Sequence-based Typing Methods)区分食源性暴发(Foodborne Outbreaks)相关肠炎沙门氏菌海德堡血清型(Salmonella enterica serovar Heidelberg)菌株的能力。该血清型具有高度克隆性,传统分型方法(Traditional Typing Methods)无法区分其分离株。

创建时间:
2018-04-22
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