Finding better therapies for the treatment of brain tumors, is
hampered for several reasons: 1) lack of consistently obtained
molecular data in a large sample sets; and 2) the ability to integrate
biomedical data from disparate sources, which would enable translation
of therapies from bench to bedside. Hence, a critical factor in the
advancement of biomedical research and clinical translation is the
ease with which data can be obtained, integrated, and analyzed both
within and across functional domains. Novel biomedical informatics
infrastructure and tools are essential for developing individualized
patient treatment based on the specific genomic signatures in each
patient's tumor. The Repository of Molecular Brain Neoplasia Data
(REMBRANDT) aims to facilitate discovery by connecting the dots
between clinical information and genomic characterization data.

REMBRANDT contains data generated through the Glioma Molecular
Diagnostic Initiative from 874 glioma specimens, comprised of
approx. 566 gene expression arrays, 834 copy number arrays, and 13,472
clinical phenotype data points. These data are currently housed in
Georgetown University's G-DOC System and are described in a related
manuscript. The TCIA image collection was created as a companion data
set to augment the larger REMBRANDT project. It contains the
pre-surgical magnetic resonance (MR) multi-sequence images from 130
REMBRANDT patients.