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Updated: Jun 18, 2026
05:33
Unveiling Therapeutic Opportunities with Melanoma Patient-derived Organoid Models
Published on: September 6, 2024
MelOD: The Melanoma Omics Dashboard for Multimodal Data Exploration
Paul Sastourne-Haletou1, Adam Walker1, Dania Annuar1,2
1Division of Precision Medicine, Department of Medicine, NYU Grossman School of Medicine, New York, New York, USA.
Pigment Cell & Melanoma Research
|June 17, 2026
Summary
MelOD is a free, web-based platform for melanoma multi-omics research. It integrates diverse datasets and offers analysis tools, aiding hypothesis generation and immunotherapy response signature exploration.
Area of Science:
- Oncology
- Bioinformatics
- Genomics
Background:
- Melanoma research generates large, complex datasets.
- Integrating multi-omics data (transcriptomics, proteomics) is crucial for understanding melanoma.
- Existing platforms may lack comprehensive, user-friendly tools for melanoma multi-omics analysis.
Purpose of the Study:
- To develop MelOD, a free, web-based platform for melanoma multi-omics data integration and analysis.
- To provide accessible tools for visualization, differential expression, clustering, and survival analysis.
- To facilitate the exploration of melanoma immunotherapy response signatures.
Main Methods:
- Integration of preprocessed data from 16 melanoma studies (8 bulk transcriptomics, 6 single-cell RNA-seq, 2 proteomics).
- Development using RShiny for optimized handling of large datasets.
- Implementation of user-friendly visualization and analysis tools.
Main Results:
- MelOD offers integrated multi-omics data from multiple melanoma studies.
- Provides tools for differential expression, dimensionality reduction, clustering, correlation, and survival analysis.
- Includes annotations for immunotherapy response, enabling signature exploration.
Conclusions:
- MelOD is a valuable, free resource for melanoma multi-omics research.
- The platform lowers computational barriers for hypothesis generation and cross-study validation.
- Facilitates deeper understanding of melanoma biology and immunotherapy response.
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