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Updated: Jun 18, 2026

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.
Abstract:
We present MelOD (Melanoma Omics Dashboard), a free, web-based interactive platform integrating preprocessed data from 16 melanoma studies, including eight bulk transcriptomics, six single-cell RNA-seq, and two proteomics datasets. MelOD provides user-friendly visualization and analysis tools, differential expression, dimensionality reduction, clustering, correlation, and survival analysis without requiring local computational resources. Several datasets include annotations for immunotherapy response, facilitating exploration of resistance and response signatures. Built on RShiny with optimized handling of large datasets, MelOD supports real-time hypothesis generation, cross-study validation, and community dataset contributions. Freely accessible online, MelOD lowers barriers to multi-omics research in melanoma and related fields.
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