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MetaDAVis:一个R光的应用程序,用于元基因组数据分析和可视化

Sankarasubramanian Jagadesan¹, Chittibabu Guda^1,2

¹Department of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, Nebraska, United States of America.

|April 7, 2025

概括

我们开发了MetaDAVis,这是一个R Shiny工具,用于分析和可视化人类微生物组测序数据. 这个用户友好的应用程序简化了复杂的元基因组数据的解释,对于没有编程经验的研究人员来说.

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.
计算生物学计算生物学

背景情况:

人类微生物组对健康和疾病至关重要.
高通量测序产生了大量的微生物组数据.
分析和可视化这些数据对生物解释提出了重大挑战.

研究的目的:

开发一个用于分析和可视化元基因组数据的交互工具.
解决解释大规模微生物组测序数据的挑战.
为16S rRNA和全基因组测序数据提供一个用户友好的平台.

主要方法:

开发了一个名为MetaDAVis的R Shiny应用程序.
整合了六个核心分析模块:分类丰度,多样性,维度缩小 (PCA,t-SNE,UMAP),相关性,热图生成和差异丰度.
确保该工具具有交互性,动态性和可定制性.

主要成果:

通过MetaDAVis,可以对微生物组数据进行全面的分析和可视化.
该工具生成交互式图形和表格,以便更容易理解数据.
它支持独立和基于Web的接口,满足有或没有编程背景的用户.

结论:

MetaDAVis提供了一个强大的,可访问的解决方案,用于元基因组数据分析和可视化.
该工具使研究人员能够从复杂的微生物群数据集中获得有意义的生物学见解.
它的用户友好设计使先进的生物信息学分析为更广泛的科学受众提供了民主化.

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