<scp>MelOD</scp> : The Melanoma Omics Dashboard for Multimodal Data Exploration

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.

Authors

Institutions

Publication Details

Journal
Pigment Cell & Melanoma Research
Published
2026-06-16
DOI
https://doi.org/10.1111/pcmr.70101
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

MelOD : The Melanoma Omics Dashboard for Multimodal Data Exploration

Eva Hernando, Ipsita Subudhi, Alcida Karz, Kelly V. Ruggles et al.
Pigment Cell & Melanoma Research
Single-cell and spatial transcriptomics
article

MelOD : The Melanoma Omics Dashboard for Multimodal Data Exploration

Eva Hernando, Ipsita Subudhi, Alcida Karz, Kelly V. Ruggles, Markus Schöber, Milad Ibrahim, Dania Annuar, Pietro Berico, Paul Sastourne-Haletou, Paola Angulo Salgado, Iman Osman, Adam Walker
article en

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.

Pigment Cell & Melanoma ResearchVol. 39(4)
New York University (US)
Openalex Percentile: Top 10%
Single-cell and spatial transcriptomics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.