ggpicrust2:一个R包用于PICRUSt2预测的功能配置分析和可视化
Chen Yang1, Jiahao Mai1, Xuan Cao2
1Department of Biostatistics, Southern Medical University, Guangzhou 510515, China.
Bioinformatics (Oxford, England)
|August 1, 2023
概括
研究人员现在可以使用R包ggpicrust2.2分析微生物组的功能途径. 该工具增强了16S rRNA数据的差异丰度分析,为微生物群落提供了更深入的功能洞察.
科学领域:
- 微生物组研究的研究.
- 生物信息学是一种生物信息学.
- 计算生物学是一种计算生物学.
背景情况:
- 微生物组研究正在从组成转向功能.
- 肠道微生物组的功能会影响炎症和免疫反应.
- 16S rRNA 测序提供了成分,但并没有直接提供功能基因信息.
研究的目的:
- 介绍ggpicrust2,一个用于分析微生物组功能概况的R包.
- 为了使从16S rRNA数据中预测的路径丰度的差异丰度测试.
- 为研究人员提供一种工具,以深入分析微生物群落的功能.
主要方法:
- 关于ggpicrust2 R包的开发.
- 使用PICRUSt2 (通过重建未观察到的状态来对社区进行遗传学研究) 进行功能预测.
- 实现差异丰度分析并创建可视化.
主要成果:
- ggpicrust2允许对预测的功能途径进行广泛的差异丰度分析.
- 该包产生了视觉上有吸引力的输出,以突出功能信号.
- 研究人员可以更深入地了解微生物社区的功能.
结论:
- ggpicrust2解决了对分析微生物组功能数据的强大工具的需求.
- 通过提供先进的分析能力,R包促进了可发表的研究.
- ggpicrust2增强了从16S rRNA测序中获得的微生物组功能概况的解释.
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