Cancer is a complex disease that results from a combination of genetic and environmental perturbations to biomolecular networks that, in healthy tissues, maintain a homeostatic balance between normal cellular functional states. Computational and statistical techniques for analyzing primary tumors, metastases, or cell culture systems can help us to understand cellular dysfunction underlying cancer onset, progression, and metastasis as well as to develop novel diagnostic and prognostic tools.
The Cancer Research Institute (CRI) iAtlas is an interactive web-based platform and set of analytic tools for studying interactions between tumors and the immune microenvironment. iAtlas is a cloud-based platform for data exploration and discovery, allowing researchers to study immune response characterizations, and the relationships among them in individual tumor types, tumor subtypes, and immune subtypes. iAtlas supports the adaptive exploration of correlations within the cellularity of the tumor microenvironment, immune…
Data Coordinating Center for the Human Tumor Atlas Network
Our group had the privilege of being part of The Cancer Genome Atlas (TCGA), a landmark cancer genomics program that molecularly characterized over 20,000 primary cancer and matched normal samples spanning 33 cancer types.
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The ISB Cancer Genomics Cloud (ISB-CGC) is democratizing access to NCI Cancer Data and coupling it with unprecedented computational power to allow researchers to explore and analyze this vast data-space.