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.
Research
Development of novel computational approaches for analyzing large-scale heterogeneous data.
Cancer Studies
Our participation and contribution to multiple TCGA tumor Analysis Working Groups.
Software
Web-based interactive visualization and exploratory tools that promote collaborative research.
News & Events
May 2016
November 2015
June 2015
October 2014
July 2014
October 2013
September 2013
May 2013
April 2013
February 2013
November 2012
October 2012
September 2012
July 2012
June 2012

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.
May 2012
March 2012
December 2011
October 2011
There was also a related editorial published in JAMA.