# Recent Web Platforms for Multi-Omics Integration Unlocking Biological Complexity
## 2 Methods
### Platforms for Multi-Omics Visualization and Pathway Exploration
#### 2.2.2. MVP: A Multi-Omics Visualization Platform Supporting Genomics to Metabolomics  
Expanding on the multi-omics visualization capabilities seen in ExpressVis, MVP (Multi-omics Visualization Platform) takes integration further by offering support for multiple omics layers, including genomics, proteomics, transcriptomics, and metabolomics. MVP is a comprehensive tool designed for the visualization and exploration of multi-omics data, allowing the integration and visualization of relationships between different omics layers, such as genomics, proteomics, transcriptomics, and metabolomics. The platform helps users investigate how various molecular entities interact within biological pathways and regulatory networks, making it particularly valuable for researchers studying complex diseases or molecular interactions [19]. MVP offers a variety of interactive visualizations, including network diagrams, heatmaps and scatter plots, which help the visual exploration of data and the identification of the relationships between genes, proteins and metabolites. This allows the understanding of how molecular changes at one level of omics affect other levels, providing a pivotal insight into biological processes.  
A core feature of MVP is its ability to support multi-omics integration, which allows users to overlay multiple datasets and explore their combined effects on biological pathways. This can be particularly useful to the investigation of the molecular basis of disease, as it provides insights into how different levels of omics contribute to disease development or progression. While MVP is highly effective at visualizing multi-omics data, it may not offer as many advanced analytical tools for in-depth statistical analysis or machine learning-based predictive modeling. However, integrating MVP with platformsthat provide statistical analysis and machine learning capabilities, or combining it with clinical datasets (e.g., patient outcome data), could enhance its utility for clinical decision-making. Such an approach would allow MVP to leverage its robust visualization outputs for identifying clinically relevant biomarkers or predicting treatment responses.  
2.3 VDJView: A Specialized Platform for Immune Repertoire Analysis Through VDJ Recombination Visualization  
In contrast, VDJView offers a more specialised focus, targeting immune repertoire sequencing data with an emphasis on VDJ recombination in immune cells. VDJView is a specialized platform designed for the visualization and analysis of immune repertoire sequencing data, focusing on VDJ recombination in T-cell and B-cell receptors. VDJ recombination plays a significant role in generating immune diversity, and understanding this process is critical for research into immune responses in diseases such as cancer, autoimmune disorders, and infectious diseases [20]. The platform provides tools to explore immune clonality, immune receptor diversity, and the dynamics of VDJ recombination events.  
By integrating and visualizing immune repertoire data, VDJView provides pseudo-time analysis and immune receptor diversity metrics to analyze adaptive immunity in cancer and autoimmune diseases. For example, it has been used to track T-cell clonotype expansion in melanoma patients undergoing immunotherapy. However, its narrow focus on immune repertoire data limits its applicability for broader multi-omics studies. VDJView allows users to generate interactive visualizations that display clonotype distributions, repertoire diversity, and other metrics important for immune system research. This makes it a valuable tool for those seeking to explore immune dynamics and diversity in various biological contexts. On the other hand, this focus on VDJ recombination means it may not be broadly applicable for researchers needing general multi-omics integration or those outside the field of immunology.