TCGA Genome Data Analysis Center (GDAC) for
Systems Analysis of the Cancer Regulome
The Cancer Genome Atlas (TCGA) provides an unprecedented opportunity to take an integrated approach toward a systems level understanding of regulatory disruptions in cancer. Such disruptions and their consequences are intertwined within complex dynamical networks through a multitude of interactions among different types of molecules. Understanding such relationships requires multivariate analysis methods that can be effective in the context of highly heterogeneous data, measurement uncertainty, and missing data.
Development of novel computational approaches for analyzing large-scale heterogeneous data.
Actively participating and contributing to several TCGA tumor Analysis Working Groups.
Web-based interactive visualization and exploratory tools, and computational infrastructure that promotes collaborative research.
News & Events
The keynote, delivered by Urs Hölzle, Senior Vice President of Infrastructure at Google, introduced Google Compute Engine. He demonstrated how RF-ACE, a machine learning algorithm that learns associations among genomic and clinical features, can be scaled to 600,000 cores across Google’s global data centers and the results visualized using a version of Regulome Explorer. A case study published by Google discusses the integration with Compute Engine.
There was also a related editorial published in JAMA.