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| 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. | |