BURRITO

BURRITO integrates taxonomic and functional profiles to visualize and analyze co-variation between microbial taxa and gene functions in microbiome multi-omic and metagenomic datasets.


Key Features:

  • Taxon–Function Integration: Integrates paired taxonomic and functional information to attribute gene functions to contributing microbial taxa across samples.
  • Profile Visualization: Visualizes taxonomic groups and gene categories across multiple samples to display composition and relative abundance patterns.
  • Dynamic Relationship Highlighting: Identifies and highlights relationships between taxa and functions to reveal contributors to functional categories across samples.
  • Data Input Flexibility: Accepts multiple input formats for taxonomic and metagenomic data and accommodates data from diverse sequencing technologies.
  • Adjustable Granularity: Allows aggregation or disaggregation of taxonomic and functional categories to explore patterns at different levels of resolution.

Scientific Applications:

  • Exploratory Taxon–Function Analysis: Enables analysis of how microbial community composition relates to functional potential across samples.
  • Ecological and Metabolic Studies: Supports investigations of ecological interactions and microbial metabolism by linking taxa to gene functions.
  • Environmental Impact Assessment: Facilitates assessment of how environmental changes correlate with shifts in taxa-associated functional profiles.

Methodology:

Integrates paired taxonomic and functional datasets and applies advanced visualization techniques to represent and capture co-variation between microbial taxa and associated gene functions.

Topics

Details

License:
GPL-3.0
Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
JavaScript
Added:
7/26/2018
Last Updated:
12/10/2018

Operations

Publications

McNally CP, Eng A, Noecker C, Gagne-Maynard WC, Borenstein E. BURRITO: An Interactive Multi-Omic Tool for Visualizing Taxa–Function Relationships in Microbiome Data. Frontiers in Microbiology. 2018;9. doi:10.3389/fmicb.2018.00365. PMID:29545787. PMCID:PMC5837987.

PMID: 29545787
PMCID: PMC5837987
Funding: - National Human Genome Research Institute: T32 HG00035 - National Science Foundation: DGE-1258485

Documentation