miodin

miodin integrates multi-omics data to enable analysis across transcriptomics, genomics, and proteomics for exploring molecular mechanisms in health and disease.

Key Features:

• Vertical Integration: Analysis across experiments conducted on the same samples to integrate multiple omic layers.
• Horizontal Integration: Analysis across studies focusing on the same variables to combine datasets from different experiments.
• Supported Omics Modalities: Supports integration of transcriptomics, genomics, and proteomics datasets.
• Workflow-based Syntax: Provides a workflow-based syntax for constructing analysis pipelines including data import and processing.
• Transparency in Data Analysis: Workflows record and expose analysis steps to promote transparency.

Scientific Applications:

• Integrative omics analysis: Combines heterogeneous omic layers to uncover complex biological insights.
• Comparative studies: Enables comparative analyses across different experimental conditions.
• Cross-study biomarker and pathway analysis: Facilitates cross-study analyses focusing on specific biomarkers or pathways.

Methodology:

Implements workflow-based data import, processing, and integration to perform vertical and horizontal multi-omics analyses.