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MoNET: an R package for multi-omic network analysis.

Jin Li1, Feng Chen1, Hong Liang1

  • 1College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150001, China.

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Summary
This summary is machine-generated.

This study introduces MoNET, an R package for analyzing multi-omic networks. It helps uncover interactions between genetic variants, genes, and metabolites for deeper biological insights.

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Area of Science:

  • Genomics
  • Metabolomics
  • Systems Biology

Background:

  • Multi-omic data is increasingly available for disease biomarker discovery.
  • Understanding functional interactions between multi-omic biomarkers is crucial for elucidating molecular mechanisms.

Purpose of the Study:

  • To develop an R package for integrated multi-omic network analysis.
  • To enable tracking interactions from single nucleotide polymorphisms (SNPs) to metabolites and vice versa.

Main Methods:

  • Integrated biological network databases to map relationships between SNPs, genes/proteins, and metabolites.
  • Developed the R package 'Multi-omic Network Explorer Tool' (MoNET).

Main Results:

  • MoNET facilitates the exploration of transomic interactions.
  • The tool allows tracing potential risk variants from altered metabolites or genes.
  • It enables tracking interactions from SNPs/genes to the metabolome.

Conclusions:

  • MoNET advances the understanding of multi-omic findings by revealing transomic interactions.
  • The package is expected to generate new hypotheses for biological validation.