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micRoclean:一种R包,用于清除低生物质16S-rRNA微生物群数据的污染

Rachel Griffard-Smith¹, Emily Schueddig¹, Diane E Mahoney²

¹Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, United States.

Frontiers in bioinformatics

|May 23, 2025

概括

micRoclean是一款新的R包,通过去除污染物来清理微生物群数据. 它提供了两个管道和统计数据来量化除污染影响,提高了低生物质研究的可靠性.

科学领域:

微生物学微生物学
生物信息学是一种生物信息学.

背景情况:

交叉污染和环境污染是16S-rRNA微生物组研究的重大挑战,特别是在低生物质样本中.
现有的污染清除工具在选择标准和量化污染物清除影响的方法上缺乏共识,风险是过度过.

研究的目的:

推出micRoclean,一个开源的R包,旨在解决微生物组数据净化方面的差距.
为研究人员提供两种不同的净化管道,并根据研究设计和目标为选择合适的管道提供指导.

主要方法:

开发了micRoclean,这是一个R包,集成和扩展现有的净化和分析工具.
实现了过损失统计,以量化除污染对数据共变性结构的影响.
使用示例数据和多批次模拟微生物组样本验证micRoclean.

主要成果:

micRoclean有效和直观地去污染微生物组数据.
该套件提供了明确的指导,用于选择合适的净化管道.
过损失统计量化了净化对数据共变的影响.
在模拟的多批量样本中,micRoclean与现有工具匹配或优于其性能.

结论:

micRoclean 提供了一种全面且易于使用的微生物组数据净化解决方案.
该套餐帮助研究人员通过提供可靠的去污染方法来提高低生物质微生物组研究的准确性.
micRoclean 在 GitHub 上免费提供,促进了该领域的可访问性和进一步发展.

关键词:

这种16S-rRNA是什么?交叉污染交叉污染是什么?清除污染的方法低生物质的低生物质代谢生物组的代谢生物组微生物组是一个微生物组.

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