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Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
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Chordomics: a visualization tool for linking function to phylogeny in microbiomes.

Kevin McDonnell1,2, Nicholas Waters1,3, Enda Howley2

  • 1Functional Environmental Microbiology, School of Natural Sciences, Ryan Institute, Galway, Ireland.

Bioinformatics (Oxford, England)
|September 21, 2019
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Summary
This summary is machine-generated.

Chordomics is a new application that visualizes microbial function and phylogeny together. This tool helps researchers link microbial communities to ecosystem functioning by integrating multi-omics data.

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Area of Science:

  • Microbiology
  • Bioinformatics
  • Computational Biology

Background:

  • Microbiome analysis aims to link microbial phylogeny and function for ecosystem understanding.
  • Metagenomics, metatranscriptomics, and metaproteomics are key strategies for studying microbial communities.
  • Existing tools lack effective integration for visualizing linked microbial function and phylogeny.

Purpose of the Study:

  • To develop a visualization tool for integrated microbiome analysis.
  • To enable comparison of microbial datasets across different environments and time points.

Main Methods:

  • Developed Chordomics, a Shiny-based application.
  • Utilized R and JavaScript for software development.
  • Created a platform for linked -omics data analysis.

Main Results:

  • Chordomics allows simultaneous visualization of microbial function and phylogeny.
  • The application facilitates comparison of multi-omics datasets.
  • Provides a novel approach to explore microbiome data.

Conclusions:

  • Chordomics addresses the need for integrated visualization in microbiome research.
  • The tool enhances the ability to link microbial composition to ecosystem functioning.
  • Facilitates comparative microbiome analysis across diverse conditions.