Archive - Insights & Innovations Blog

  • Getting to Know the Complexities of Cancer: A 2018 TCGA Symposium Preview
    September 24, 2018, by Peggy I. Wang

    At the 2018 Cell Symposium, TCGA Legacy: Multi-Omic Studies in Cancer, cancer genomics experts will discuss the latest research in molecularly characterizing cancer, classifying the disease, and the development of targeted therapy. A preview of how some researchers are starting to understand the complex and dynamic aspects of cancer.

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  • Finding Pediatric Cancer Genomic Data through PGDI
    September 5, 2018, by Pamela Birriel, Ph.D. & Daniela S. Gerhard, Ph.D.

    The Pediatric Genomic Data Inventory (PGDI), developed by the Office of Cancer Genomics (OCG), is a new public resource informing researchers how and where to access globally generated pediatric cancer genomic datasets. Connecting researchers with data and fostering collaborations is key to furthering our understanding of childhood cancers.

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  • From Ignoring Features to Machine Learning Features: Computational Biology Then and Now
    July 30, 2018, by Peggy I. Wang

    Dr. John Weinstein discusses progress in computational biology over the 12-year span of TCGA. The field has expanded greatly, with researchers taking on more complex problems and trying different approaches.

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  • The Genomic Data Commons Turns 2: Progress in Clinical Tool Development
    May 31, 2018, by Louis M. Staudt, M.D., Ph.D.

    The Genomic Data Commons (GDC) launched two years ago with the goal to build a collaborative, interactive knowledge system that anyone can use. Dr. Lou Staudt reflects on milestones reached at the GDC’s two year anniversary and challenges ahead in building clinically relevant tools and advancing precision medicine.

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  • After TCGA: Building Clinical Genomic Resources
    May 16, 2018, by Peggy I. Wang

    The Center for Cancer Genomics (CCG) continues to build genomic resources with a special focus on clinical features and patient outcome. A new wave of cancer characterization projects will generate data relevant for precision medicine and build on the legacy left by The Cancer Genome Atlas, which officially concluded in April 2018.

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