Vertical and horizontal integration of multi-omics data with miodin

Area of Science:

• Bioinformatics
• Computational Biology
• Genomics and Proteomics

Background:

• Multi-omics data integration is crucial for understanding complex biological mechanisms in health and disease.
• Analyzing diverse omics datasets (e.g., transcriptomics, genomics, proteomics) presents significant computational challenges.
• Existing methods often require specialized software and extensive expertise, hindering accessibility.

Purpose of the Study:

• To introduce the miodin R package, a novel tool designed for streamlined multi-omics data analysis.
• To provide a workflow-based syntax that simplifies the integration of heterogeneous omics data.
• To reduce the technical expertise needed for low-level data import and processing in multi-omics studies.

Main Methods:

• Development of the miodin R package with a focus on workflow-based syntax.
• Implementation of functionalities for both vertical (across samples) and horizontal (across variables) omics data integration.
• Design of transparent data analysis workflows to enhance usability.

Main Results:

• The miodin package offers a unified approach to multi-omics data analysis.
• It facilitates both vertical and horizontal integration strategies for omics datasets.
• The package simplifies complex data import and processing tasks.

Conclusions:

• The miodin package is a freely available R tool that democratizes multi-omics data integration.
• It supports transparent and accessible analysis of complex biological data.
• Resources including source code and documentation are available online for users and developers.