MiBiOmics

MiBiOmics facilitates integration, visualization, exploration, and analysis of multi-omics datasets to support integrative multi-omics research in biological and medical sciences.

Key Features:

• Data visualization and exploration: Implements classical ordination techniques for dimensionality reduction and pattern visualization of high-dimensional omics data.
• Network-based integration: Implements a network-based approach to integrate multi-layered omics data by constructing omics-based networks.
• Network mining and biomarker identification: Mines constructed omics-based networks to identify robust biomarkers associated with contextual parameters and biological states.
• Analysis of large-scale omics datasets: Provides capabilities for exploration and analysis of large-scale multi-omics datasets.

Scientific Applications:

• Integrative multi-omics analysis: Integrative analysis of multi-omics datasets for studies in biological and medical sciences.
• Biomarker discovery: Identification of biomarkers associated with contextual parameters or biological states from omics networks.
• Dimensionality reduction and visualization: Visualization and interpretation of high-dimensional omics data via ordination techniques.
• Hypothesis generation: Mining of omics networks to generate hypotheses about complex biological system organization and associations.

Methodology:

Applies classical ordination techniques for dimensionality reduction and visualization, constructs omics-based networks for network-based integration, and performs network mining to identify biomarkers associated with contextual parameters and biological states.