Cargando…
BURRITO: An Interactive Multi-Omic Tool for Visualizing Taxa–Function Relationships in Microbiome Data
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 v...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5837987/ https://www.ncbi.nlm.nih.gov/pubmed/29545787 http://dx.doi.org/10.3389/fmicb.2018.00365 |
_version_ | 1783304156556034048 |
---|---|
author | McNally, Colin P. Eng, Alexander Noecker, Cecilia Gagne-Maynard, William C. Borenstein, Elhanan |
author_facet | McNally, Colin P. Eng, Alexander Noecker, Cecilia Gagne-Maynard, William C. Borenstein, Elhanan |
author_sort | McNally, Colin P. |
collection | PubMed |
description | 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 BURRITO, 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. |
format | Online Article Text |
id | pubmed-5837987 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-58379872018-03-15 BURRITO: An Interactive Multi-Omic Tool for Visualizing Taxa–Function Relationships in Microbiome Data McNally, Colin P. Eng, Alexander Noecker, Cecilia Gagne-Maynard, William C. Borenstein, Elhanan Front Microbiol Microbiology 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 BURRITO, 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. Frontiers Media S.A. 2018-03-01 /pmc/articles/PMC5837987/ /pubmed/29545787 http://dx.doi.org/10.3389/fmicb.2018.00365 Text en Copyright © 2018 McNally, Eng, Noecker, Gagne-Maynard and Borenstein. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Microbiology McNally, Colin P. Eng, Alexander Noecker, Cecilia Gagne-Maynard, William C. Borenstein, Elhanan BURRITO: An Interactive Multi-Omic Tool for Visualizing Taxa–Function Relationships in Microbiome Data |
title | BURRITO: An Interactive Multi-Omic Tool for Visualizing Taxa–Function Relationships in Microbiome Data |
title_full | BURRITO: An Interactive Multi-Omic Tool for Visualizing Taxa–Function Relationships in Microbiome Data |
title_fullStr | BURRITO: An Interactive Multi-Omic Tool for Visualizing Taxa–Function Relationships in Microbiome Data |
title_full_unstemmed | BURRITO: An Interactive Multi-Omic Tool for Visualizing Taxa–Function Relationships in Microbiome Data |
title_short | BURRITO: An Interactive Multi-Omic Tool for Visualizing Taxa–Function Relationships in Microbiome Data |
title_sort | burrito: an interactive multi-omic tool for visualizing taxa–function relationships in microbiome data |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5837987/ https://www.ncbi.nlm.nih.gov/pubmed/29545787 http://dx.doi.org/10.3389/fmicb.2018.00365 |
work_keys_str_mv | AT mcnallycolinp burritoaninteractivemultiomictoolforvisualizingtaxafunctionrelationshipsinmicrobiomedata AT engalexander burritoaninteractivemultiomictoolforvisualizingtaxafunctionrelationshipsinmicrobiomedata AT noeckercecilia burritoaninteractivemultiomictoolforvisualizingtaxafunctionrelationshipsinmicrobiomedata AT gagnemaynardwilliamc burritoaninteractivemultiomictoolforvisualizingtaxafunctionrelationshipsinmicrobiomedata AT borensteinelhanan burritoaninteractivemultiomictoolforvisualizingtaxafunctionrelationshipsinmicrobiomedata |