
Omics Playground - Multi-Omics Add-on
Multi-omics data integration and analysis with functional profiling, biomarker discovery, and genotype-phenotype prediction.
Overview
The Multi-Omics Add-on for Omics Playground by BigOmics is a powerful yet easy-to-use platform designed for the integrated analysis of multiple omics data types. Built for life scientists and bioinformaticians, it enables seamless multi-omics data integration to deliver instant, actionable insights across complex biological datasets.
This add-on is purpose-built to support comprehensive functional analysis, enhanced biomarker discovery, and improved prediction of genotype-phenotype relationships — making it an essential tool for researchers working at the intersection of genomics, proteomics, transcriptomics, and beyond.
Key Capabilities
- Comprehensive functional analysis across multiple omics layers, enabling a holistic view of biological systems.
- Enhanced biomarker discovery by leveraging integrated multi-omics signals to identify robust and reproducible biomarkers.
- Improved genotype-phenotype prediction through the combined power of diverse omics data types.
Multi-Omics Analysis Methods
- Similarity Network Fusion (SNF): Integrates multiple omics datasets by constructing and fusing patient similarity networks, enabling robust subgroup identification.
- LASAGNA: A dedicated analytical method included within the platform for multi-omics data integration and interpretation.
- Multi-Omics Factor Analysis (MOFA): Identifies latent factors that explain variation across multiple omics modalities, supporting dimensionality reduction and biological interpretation.
- Multi-Omics Supervised Auto-Encoder: Applies deep learning-based approaches to integrate and compress multi-omics data in a supervised manner, facilitating predictive modelling.
- Multi-Omics Gene Set Enrichment Analysis (GSEA): Extends classical GSEA methodology to multi-omics contexts, enabling pathway-level insights across data types.
Biomarker Discovery and Research Support
- Supports the combination of multiple factorization methods for more robust and reliable biomarker identification.
- Provides workflows and tutorials to guide users through biomarker data analysis step by step.
- Offers educational resources and blog content covering definitions, examples, and algorithms for biomarker detection.
The Multi-Omics Add-on is part of the broader Omics Playground ecosystem from BigOmics, designed to make advanced multi-omics analysis accessible without sacrificing analytical depth. Researchers can request a demo or try the platform directly to explore its full range of integration and discovery capabilities.
