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Summary
This summary is machine-generated.

OmniCorr is a new R package that integrates and visualizes host-microbiome omics data. It helps researchers identify interactions between hosts and their microbiomes, advancing biological research.

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Area of Science:

  • Microbiology
  • Bioinformatics
  • Systems Biology

Background:

  • Generating matching host and microbiome omics data is increasing.
  • Computational tools for integrating and visualizing these datasets are scarce.
  • Interpreting host-microbiome interactions requires advanced analytical approaches.

Purpose of the Study:

  • To introduce OmniCorr, an R package for managing, visualizing, and interpreting host-microbiome omics data.
  • To facilitate the identification of statistically significant associations between host and microbiome features.
  • To provide a tool for exploring complex interactions across multiple omics layers.

Main Methods:

  • OmniCorr clusters co-varying omics features (genes, proteins, metabolites) into modules.
  • It visualizes correlations across different omics layers, host-microbiome interfaces, and metadata.
  • Statistical methods are employed to identify significant associations.

Main Results:

  • OmniCorr successfully integrated host transcriptomics with metagenomics and metatranscriptomics in Atlantic salmon.
  • The package was used to analyze host proteomics with metaproteomics in cattle, investigating methane emissions.
  • Demonstrated utility in identifying putative host-microbiome interactions in diverse biological systems.

Conclusions:

  • OmniCorr addresses the need for computational tools in holo-omics research.
  • The package enables robust analysis and visualization of complex host-microbiome interactions.
  • OmniCorr facilitates deeper understanding of host-microbiome relationships in various organisms.