拉姆埃克斯 (Ramex):一个R包,用于高通量微生物拉曼基因组分析,并提供准确的质量评估
Yanmei Zhang1,2,3, Gongchao Jing1, Rongze Chen1,3
1Single-Cell Center, CAS Key Laboratory of Biofuels, Shandong Key Laboratory of Energy Genetics, Qingdao New Energy Shandong Laboratory, Shandong Energy Institute, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, 266101, China.
Microbiome
|February 10, 2026
概括
RamEx是一个新的R包,它使用代卷积异常检测 (ICOD) 算法来准确分析微生物单细胞拉曼光谱 (SCRS) 数据. 这种工具增强了复杂社区中的微生物识别和表征.
科学领域:
- 微生物学 微生物学
- 频谱学是一种光谱学.
- 生物信息学是一种生物信息学.
背景情况:
- 微生物单细胞拉曼光谱 (SCRS) 对于无标签的微生物表型和社区分析至关重要.
- 高通量SCRS数据经常存在光谱异常,阻碍了准确的分类.
- 需要开发强大的算法来检测微生物的异常值.
研究的目的:
- 介绍RamEx,一个R包,用于高通量微生物拉曼基因组分析.
- 实施代卷积异常值检测 (ICOD) 算法,以进行强大的光谱异常检测.
- 为微生物表型差异化和特征映射提供可扩展的工作流.
主要方法:
- 开发了用于动态光谱异常检测的代卷积异常检测 (ICOD) 算法.
- 创建了Ramex R包,集成ICOD用于质量控制和表型分类.
- 在模拟和真实微生物数据集上的基准RamEx,包括细菌和酵母.
主要成果:
- ICOD取得了高的F1得分 (0.97模拟,0.74真实数据),表现优于现有方法.
- RamEx工作流可以实现表型差异化,分类学识别和代谢指纹.
- 该包每小时处理超过一百万个光谱,具有C++加速和GPU并行.
结论:
- 拉姆埃克斯将高通量SCRS数据和计算分析用于单细胞微生物研究.
- 该工具包促进了对微生物生态,新陈代谢和抗生素敏感性的探索.
- RamEx可以作为一个免费的,开源的R包.
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