VANTED: A Tool for Integrative Visualization and Analysis of -Omics Data.

Area of Science:

• Systems Biology
• Bioinformatics
• Genomics and Proteomics

Background:

• Novel -omics technologies generate large, complex, and heterogeneous datasets.
• Integrating and analyzing these multi-omics data is crucial but challenging for understanding biological systems.
• Network-integrated visualizations offer intuitive exploration of -omics data within functional contexts.

Purpose of the Study:

• To provide detailed instructions for generating integrative visualizations of -omics data.
• To demonstrate the application of network visualization for systems biology analysis.
• To facilitate the interpretation of complex biological data for deeper insights.

Main Methods:

• Utilizing the VANTED software tool for systems biology applications.
• Employing Systems Biology Graphical Notation (SBGN) standards for network representation.
• Integrating metabolomics and proteomics data for analysis.

Main Results:

• Successful generation of an integrative visualization for multi-omics data.
• Demonstrated application on a primary metabolic pathway in potato.
• Facilitated interpretation of integrated metabolomics and proteomics data.

Conclusions:

• Network-integrated visualization is a powerful method for exploring and interpreting complex -omics data.
• The described method using VANTED and SBGN aids in uncovering hidden biological information.
• This approach enhances understanding of biological systems and reveals new insights, particularly in crop research.