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Measuring Microbial Mutation Rates with the Fluctuation Assay
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种族人口中的遗传多样性和突变频率数据库:系统审查
Shumaila Khan1, Mahmood Alam2, Iqbal Qasim3
1Department of Computer Science, University of Science and Technology Bannu, Bannu Township, Bannu, 28100, Pakistan, 92 3329959220.
JMIR bioinformatics and biotechnology
|December 4, 2025
概括
国家和民族突变频率数据库 (NEMDB) 对精准医学至关重要,但受到标准化和数据质量问题的困扰. 人工智能和相关的开放数据解决方案被提议用于提高互操作性和临床实用性.
科学领域:
- 基因组学就是基因组学.
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
背景情况:
- 国家和民族突变频率数据库 (NEMDB) 对基因变异研究和精准医学至关重要.
- 它们提供了对人口中的遗传多样性及其健康影响的关键见解.
研究的目的:
- 系统地评估42个NEMDB以发现标准化缺口和数据质量.
- 为增强互操作性提出AI和链接开放数据解决方案.
- 突出NEMDB对精准医学的临床影响.
主要方法:
- 对42个NEMDB进行了系统评估.
- 标准包括数据收集,系统设计,查询,可访问性和集成能力.
- 具体解决了标准化和数据质量方面的挑战.
主要成果:
- 70%的NEMDB缺乏标准化格式,50%的数据过时,限制了临床实用性.
- 60%的人在交叉比较遗传变异方面表现出差距.
- 像LOVD这样的开源平台在可用性方面增加了40%.
结论:
- 基于云的平台和链接的开放数据框架被提议用于解决标准化和数据缺口.
- 由人工智能驱动的模型可以提高NEMDB之间的互操作性.
- 以用户为中心的设计优先考虑,使临床医生,研究人员和公众受益.
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