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iSODA is a new web application for analyzing single-omics and multiomics data. It offers interactive visualizations and advanced analytical functions for easier data exploration and interpretation.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Data Science

Background:

  • Multiomics data collection is increasing due to lower costs of analytical platforms.
  • A lack of versatile software hinders the analysis and interpretation of complex multiomics datasets.
  • Existing tools often lack user-friendly interfaces for integrated data exploration.

Purpose of the Study:

  • To introduce iSODA, a web-based application for harmonized single-omics and multiomics data analysis.
  • To provide researchers with an intuitive platform for user-driven data exploration and interpretation.
  • To support a wide range of analytical functions from basic visualization to advanced multiomics integration.

Main Methods:

  • Development of a web-based application, iSODA.
  • Implementation of interactive visualizations (e.g., volcano plots, PCA).
  • Integration of advanced multiomics analysis methods (e.g., Multi-Omics Factor Analysis, Similarity Network Fusion).
  • Inclusion of on-the-fly data adaptation features (e.g., imputation, normalization).

Main Results:

  • iSODA provides a versatile solution for both single-omics and multiomics data analysis.
  • The application features intuitive, interactive visualizations for enhanced data exploration.
  • It supports advanced analyses including enrichment and lipid saturation, alongside multiomics integration techniques.
  • On-the-fly data processing capabilities improve data quality and analysis flexibility.

Conclusions:

  • iSODA addresses the need for a unified platform for multiomics data analysis.
  • Its user-centric design and comprehensive functionalities facilitate deeper biological insights.
  • The modular design and available guidance enhance usability for researchers across disciplines.