-
Delineating pediatric brain tumor progression using single-nuclei sequencing
Study
EGAS50000001288
-
De novo modeling of chromoplectic Ewing sarcoma tumors from patient-derived mesenchymal stem cells
Dataset
EGAD50000001673
-
Multiomic Landscape of Multiple Myeloma Precursor and Relapsed Disease
Study
phs003892
-
RNA sequencing data from glioblastoma primary cell lines treated with indisulam
Study
EGAS50000000680
-
Single-cell G&T sequencing - Transcriptomic data
Dataset
EGAD50000001514
-
Single Cell Multiome ATAC + Gene Expression sequencing
Dataset
EGAD50000001515
-
WES of tumor samples from patients with renal medullary carcinoma (RMC)
Dataset
EGAD50000001822
-
Shallow dataset
Dataset
EGAD50000001165
-
DAC for "High-Resolution Spatial Transcriptomics Uncover Epidermal-Dermal Divergences in Merkel Cell Carcinoma: Spatial Context Reshapes the Gene Expression Landscape" with Jürgen C. Becker(j.becker@dkfz-heidelberg.de) and Nalini Srinivas(n.srinivas@dkfz-heidelberg.de )
Dac
EGAC00001003599
-
IDH-wildtype untreated human glioblastoma samples (GB-UK cohort), published in Noorani & Haughey et al 2025.
Study
EGAS00001008126