Concordance between RT-AS-LNA-qPCR and direct sequencing.

NIAID Data Ecosystem2026-03-08 收录

分子检测方法验证

基因突变检测一致性

数据链接：

https://figshare.com/articles/dataset/_Concordance_between_RT_AS_LNA_qPCR_and_direct_sequencing_/949266 数据链接链接失效反馈

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Complete concordant results are shown in bold. Partial concordant results are shown in italics.

创建时间：

2014-02-28

Bacterial endosymbiont infections in âliving fossilsâ: a case study of North American vaejovid scorpions

生物共生关系

分子检测方法验证

Bacterial endosymbionts are common among arthropods, and maternally inherited forms can affect the reproductive and behavioural traits of their arthropod hosts. The prevalence of bacterial endosymbion

DataONE2020-06-24 更新50

Number of clinical specimens tested by Taqman real-time PCR and cell culture.

临床病毒学诊断

分子检测方法验证

aThe qPCR results only include the viral RNA extracted from original specimens and exclude qPCR results of the viral RNA extracted from CPE-positive culture supernatants.

Figshare2015-12-02 更新30

Agreement between multiplex PCR and MLC for the STH vegetation class and the STH-thermal class to predict growth sites of C. immitis (to agree a prediction by either multiplex PCR or MLC must be confirmed at least once for the four years by the other method).

病原体分布预测

分子检测方法验证

From altogether 25 sites, only 23 were considered, because no multiplex PCR results were obtained for STH sites I and II. Agreement between multiplex PCR and MLC for the STH vegetation class and the S

NIAID Data Ecosystem20

Development and Evaluation of a PCR Method for Detection of the Clostridium difficile Toxin B Gene in Stool Specimens

临床微生物诊断

分子检测方法验证

A PCR assay detecting Clostridium difficile toxin B gene in stool specimens was compared to the cytotoxicity assay as the reference standard for the diagnosis of C. difficile antibiotic-associated dia

PubMed Central30

Reproducibility summary for the CDC DENV-1–4 Real-Time RT-PCR Assay including results from three testing sites.

登革热病毒

分子检测方法验证

*AVG CT value is based on one or two samples. % CV = coefficient of variation.

NIAID Data Ecosystem20