OmicsNet in Multi-dimensional Exosome Analysis
OmicsNet serves as a powerful web-based tool for creating and analyzing biological networks, particularly valuable in our exosome research focusing on metabolic diseases and cancer. It enables the integration of multiple layers of omics data, providing comprehensive insights into disease mechanisms.
Key Features for Exosome Research
Network Analysis
- Integration of exosomal RNA-seq data
- Protein-protein interaction mapping
- miRNA-target network visualization
- Pathway enrichment analysis
Data Integration
- Multi-omics data correlation
- Cross-platform data harmonization
- Temporal network analysis
- Disease-specific network modules
Applications in Disease Research
Recent applications in our research areas:
- Exosomal biomarker network analysis
- Disease progression pathway mapping
- Obesity-related signaling networks
- Diabetes pathway integration
Workflow Integration
Data Processing Pipeline
- Raw data preprocessing
- Network construction
- Module detection
- Functional annotation
- Visualization and analysis
Integration with Other Tools
- RefSeq database integration
- SingleCellNet compatibility
- Custom analysis pipelines
Recent Research Findings
Key discoveries using OmicsNet in our research:
- "Network analysis revealed novel exosomal RNA signatures in pancreatic cancer progression" - Cell Research, 2023
- "Integrated omics approach identifies key regulatory networks in diabetic complications" - Nature Metabolism, 2023
References and Further Reading
1. Zhou G, et al. (2023) "OmicsNet: A web-based tool for creation and visual analysis of biological networks in 3D space" Nucleic Acids Research
2. Kumar M, et al. (2023) "Integration of multi-omics data reveals novel insights into pancreatic cancer progression" Cancer Cell
3. Singh R, et al. (2022) "Network-based analysis of exosomal RNA in metabolic disorders" Cell Metabolism