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Center for Cancer Computational Biology

  • Director: John Quackenbush, PhD

    John Quackenbush, PhD, and Ursula Matulonis, MD

    The Center for Cancer Computational Biology provides broad-based support for the analysis and interpretation of genomic and other large-scale data and, by doing so, furthers basic, clinical, and translational research. The Center also conducts research focused on genomic and computational biology approaches that open new ways of understanding cancer.

    The Center has developed a unique bioinformatics and computational biology consulting platform that provides state-of-the-art assistance in the collection, management, analysis, and interpretation of large-scale data, with a focus on data generated using "omic" technologies. To accomplish this, bioinformatics consultants and staff work closely with investigators in designing experiments and in analyzing and interpreting the data. They assist investigators with their research and provide training in various analytical methods, as well as the use of software tools.

    Recognizing that many emerging problems in genomic data analysis require the development of new methods, the Center also maintains an active research program. Focusing on integrative approaches to the analysis of genomic data, it is proactively generating data using emerging technologies. It is also developing methods and software tools that bring together information from a variety of sources, including publicly available data, to better understand the complexities of biological systems. All software and tools developed through the Center are available to the research community as a resource to accelerate research at Dana-Farber, and beyond.