McNally Colin P, Eng Alexander, Noecker Cecilia, Gagne-Maynard William C, Borenstein Elhanan
Department of Genome Sciences, University of Washington, Seattle, WA, United States.
Institute for Health Metrics and Evaluation, Seattle, WA, United States.
Front Microbiol. 2018 Mar 1;9:365. doi: 10.3389/fmicb.2018.00365. eCollection 2018.
The abundance of both taxonomic groups and gene categories in microbiome samples can now be easily assayed via various sequencing technologies, and visualized using a variety of software tools. However, the assemblage of taxa in the microbiome and its gene content are clearly linked, and tools for visualizing the relationship between these two facets of microbiome composition and for facilitating exploratory analysis of their co-variation are lacking. Here we introduce , a web tool for interactive visualization of microbiome multi-omic data with paired taxonomic and functional information. BURRITO simultaneously visualizes the taxonomic and functional compositions of multiple samples and dynamically highlights relationships between taxa and functions to capture the underlying structure of these data. Users can browse for taxa and functions of interest and interactively explore the share of each function attributed to each taxon across samples. BURRITO supports multiple input formats for taxonomic and metagenomic data, allows adjustment of data granularity, and can export generated visualizations as static publication-ready formatted figures. In this paper, we describe the functionality of BURRITO, and provide illustrative examples of its utility for visualizing various trends in the relationship between the composition of taxa and functions in complex microbiomes.
现在,通过各种测序技术可以轻松测定微生物组样本中分类群和基因类别的丰度,并使用多种软件工具进行可视化。然而,微生物组中分类群的组合与其基因含量显然是相关的,而目前缺乏用于可视化微生物组组成这两个方面之间的关系以及促进对其协变进行探索性分析的工具。在此,我们介绍BURRITO,这是一个用于交互式可视化具有配对分类和功能信息的微生物组多组学数据的网络工具。BURRITO可同时可视化多个样本的分类和功能组成,并动态突出分类群与功能之间的关系,以捕捉这些数据的潜在结构。用户可以浏览感兴趣的分类群和功能,并交互式探索每个功能在各个样本中归因于每个分类群的份额。BURRITO支持分类和宏基因组数据的多种输入格式,允许调整数据粒度,并可以将生成的可视化结果导出为适合发表的静态格式化图形。在本文中,我们描述了BURRITO的功能,并提供了其用于可视化复杂微生物组中分类群组成与功能之间关系的各种趋势的实用示例。