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 biomolecules. 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.

View Details »

Cancer Studies

Actively participating and contributing to several TCGA tumor Analysis Working Groups.

View Details »

Software

Web-based interactive visualization and exploratory tools, and computational infrastructure that promotes collaborative research.

View Details »

News & Events

February 2013

New paper published in Cancer Cell on "Integrated Analyses Identify a Master MicroRNA Regulatory Network for the Mesenchymal Subtype in Serous Ovarian Cancer" as part of the The Cancer Genome Atlas(TCGA) project.

The cover of Cancer Cell features the article, with a graphic depicting the analysis.

November 2012

The Center for Systems Analysis of the Cancer Regulome attended the 2nd Annual TCGA Scientific Symposium. The symposium was co-chaired by Ilya Shmulevich.

Brady Bernard and Hector Rovira gave a talk, introducing Genespot: A Portal for Interactive Gene-Centric Exploration of The Cancer Genome Atlas.

Dick Kreisberg presented a workshop on the Regulome Explorer.

October 2012

New paper published in Nature on comprehensive molecular portraits of human breast tumors as a part of The Cancer Genome Atlas(TCGA) project.

An article related to the work was published in the New York Times.

September 2012

A recent article on the Shmulevich Group's efforts to analyze genomic information using large computational clusters with cloud infrastructure on demand.

July 2012

New paper published in Nature on Colorectal cancer characterization as a part of The Cancer Genome Atlas(TCGA) project.

An article related to the work was featured on the home page of the New York Times.

June 2012

Our work was featured during a keynote presentation at the Google I/O 2012 conference.

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 written by Google can be found here.

May 2012

Regulome Explorer is featured in this article where ISB founder Dr. Leroy Hood talks about the application of mathematics to biological research.

March 2012

Regulome Explorer is covered in this story about online tools available for analyzing TCGA data.

December 2011

Addama described in this technology feature on adaptive technologies for systems biology data integration.

October 2011

New paper published in the Journal of the American Medical Association showing that women with high-grade ovarian cancer live longer and respond better to platinum-based chemotherapy when their tumors have BRCA2 genetic mutations.

There was also an editorial published in JAMA.