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NOODAI: a webserver for network-oriented multi-omics data analysis and integration pipeline.

Tiberiu Totu1,2,3, Rafael Riudavets Puig1,2, Lukas Jonathan Häuser1,2,3

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Summary
This summary is machine-generated.

This study introduces NOODAI, a software platform for integrative omics analysis. It constructs joint interaction networks from omics data to identify key biological features and disease-relevant modules, enhancing phenotype understanding.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Systems Biology

Background:

  • Omics profiling is crucial for identifying molecular features of biological phenotypes and diseases.
  • Analyzing individual omics data provides specific molecular insights.
  • Joint evaluation of multi-omics data offers deeper understanding of biological system functioning.

Purpose of the Study:

  • To introduce a novel approach for constructing and analyzing joint interaction networks from omics data.
  • To develop the NOODAI software platform for user-friendly integrative omics analysis.
  • To leverage network analysis for identifying key biological features and functionally connected modules.

Main Methods:

  • Constructing joint interaction networks from representative traits of each omics profile.
  • Utilizing existing knowledge of confident interactions among biological entities.
  • Employing the MONET network decomposition tool to identify functionally connected modules.
  • Developing the NOODAI software platform with a user-friendly interface.

Main Results:

  • Identification of central elements connecting multiple phenotype-characteristic entities within joint networks.
  • Highlighting functionally connected network modules using MONET.
  • NOODAI provides raw output tables, summary plots, and written reports.
  • The platform enables broad usage for integrative omics analysis.

Conclusions:

  • Omics profiling is valuable for unbiased identification of phenotype-defining features.
  • Joint omics analysis provides deeper insights into biological systems.
  • The NOODAI software platform facilitates integrative omics analysis and disease-relevant module identification.
  • NOODAI is valuable for analyzing clinical multi-omics datasets.