雪花:可视化微生物群丰度表作为多变量双部分图表
Jannes Peeters1, Daniël M Bot1, Gustavo Rovelo Ruiz2
1Data Science Institute, Hasselt University, Diepenbeek, Belgium.
Frontiers in bioinformatics
|February 20, 2024
概括
雪花是一种用于微生物组研究的新可视化方法,它显示所有观察到的种类,包括罕见的种类. 这种用户友好的工具可以帮助研究人员在样本中识别独特和共享的微生物,从而全面了解微生物组合的组成.
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.
- 数据可视化数据可视化
背景情况:
- 现有的微生物群可视化方法经常汇总分类学数据或省略较少的种类.
- 这限制了微生物群落组成和多样性的详细分析.
研究的目的:
- 介绍Snowflake,这是微生物组研究的新可视化方法.
- 提供微生物组组成的全面概述,而不会丢失关于罕见种群的信息.
- 将层次数据结构和下游分析结果与微生物组合相结合.
主要方法:
- 雪花显示了每一个观察到的操作分类单元 (OTU) 或扩展序列变异 (ASV).
- 它结合了数据的层次结构和其他信息,如多样性指标和元数据.
- 该方法使用ICE-T方法进行了评估.
主要成果:
- 雪花被微生物组研究专家们积极接受.
- 用户发现可视化是用户友好的,详细的,并且能够整合各种数据.
- 该方法有效地将样本特定的种群与核心微生物群区分开来,并突出了组成上的差异.
结论:
- 雪花为可视化微生物组合提供了一种强大而富有信息的方法.
- 它增强了探索微生物社区结构和样本内的关系的能力.
- 一个R包的可用性有助于在微生物组研究中采用它.
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