VANTED
VANTED enables visualization, integration, analysis, and simulation of networks containing biomolecular entities over time using multi-omics experimental datasets to support systems biology investigations.
Key Features:
- Network Reconstruction: Reconstructs biological networks from diverse omics datasets to represent interactions among biomolecular entities.
- Data Visualization: Provides advanced visualization of large-scale data within the context of functional pathways and hierarchies.
- Integration of Various Data Types: Integrates multiple types of omics data into a unified framework for combined analysis.
- Network Simulation: Simulates network dynamics to predict system behavior under different conditions.
- Data Exploration: Enables multi-perspective exploration of datasets by combining several analytical tasks.
- Standards Support: Adheres to systems biology standards for visualization and data exchange to ensure interoperability.
- Statistical Analysis: Provides statistical tools for analyzing omics data and supporting hypothesis testing.
Scientific Applications:
- Pathway Analysis: Maps and analyzes biological pathways to uncover insights into cellular processes.
- Functional Hierarchies Exploration: Examines hierarchical relationships within biological systems to identify key regulatory elements.
- Omics Data Analysis and Hypothesis Testing: Performs statistical analysis of multi-omics data to validate findings and support hypothesis generation.
Methodology:
Performs network reconstruction, integrates multiple omics datasets, visualizes data in pathway and hierarchy contexts, simulates network dynamics, and supports statistical analysis and exploratory data analysis.
Topics
Details
- Tool Type:
- desktop application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Java
- Added:
- 12/18/2017
- Last Updated:
- 11/24/2024
Operations
Publications
Rohn H, Junker A, Hartmann A, Grafahrend-Belau E, Treutler H, Klapperstück M, Czauderna T, Klukas C, Schreiber F. VANTED v2: a framework for systems biology applications. BMC Systems Biology. 2012;6(1):139. doi:10.1186/1752-0509-6-139. PMID:23140568. PMCID:PMC3610154.