关于大规模筛查数据的过度解读——以移动mRNA为例。

IF 17.3 1区 生物学 Q1 PLANT SCIENCES
Franziska Hoerbst, Melissa Tomkins, Richard J Morris
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引用次数: 0

摘要

大规模筛查的数学对于理解大型数据集中不完善的检测方法的结果至关重要。虽然这一框架已经建立,但在植物生物学中并不常用。在这里,我们通过大规模筛选统计的视角来看待在植物中长距离传播的信使rna(移动mrna)的鉴定。RNA-Seq分析已经鉴定出数千种移动mrna。然而,考虑到检测的准确性和流行程度,这些数字令人怀疑。所提出的方法适用于所有研究领域,在这些领域中,使用准确率低于100%的检测测试来发现大型数据集中的罕见事件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the overinterpretation of mass screening data - the example of mobile mRNA.

The mathematics of mass screening is crucial for understanding results from imperfect detection methods in large datasets. Although this framework is well-established, it is not commonly applied in plant biology. Here, we view the identification of messenger RNAs that travel over long distances in plants (mobile mRNAs) through the lens of mass screening statistics. RNA-Seq analyses have identified thousands of mobile mRNAs. Consideration of the detection accuracy and prevalence, however, cast doubt on these numbers. The presented methodology is relevant to all areas of research where detection tests with less than 100% accuracy are applied to find rare events in large datasets.

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来源期刊
Trends in Plant Science
Trends in Plant Science 生物-植物科学
CiteScore
31.30
自引率
2.00%
发文量
196
审稿时长
6-12 weeks
期刊介绍: Trends in Plant Science is the primary monthly review journal in plant science, encompassing a wide range from molecular biology to ecology. It offers concise and accessible reviews and opinions on fundamental plant science topics, providing quick insights into current thinking and developments in plant biology. Geared towards researchers, students, and teachers, the articles are authoritative, authored by both established leaders in the field and emerging talents.
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