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Archive - Insights & Innovations Blog

  • A brief tour of DAVE: The Genomic Data Commons analysis toolkit
    September 12, 2017, by Zhining Wang, Ph.D.

    The Genomic Data Commons (GDC) gives a brief tour of DAVE: Data Analysis, Visualization, and Exploration Tools. GDC welcomes user questions and feedback to help build an accessible and valuable genomic data resource.

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  • TRACERx: Trailblazing Longitudinal Cancer Genomics
    June 1, 2017, by Jean C. Zenklusen, M.S., Ph.D.

    The Cancer Genome Atlas (TCGA) has been analyzed in more than one thousand scientific publications and enabled countless discoveries, but mostly using cross-sectional studies. To study in depth how cancer evolves and progresses, NCI's Center for Cancer Genomics (CCG) is supporting the innovative, longitudinal study Tracking Non-Small-Cell Lung Cancer Evolution through Therapy (TRACERx).

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  • ROS1+ Cancer Patients Partner to Increase Research
    May 23, 2017, by Janet Freeman-Daily, MS, Eng

    ROS1ders, a group of lung cancer patients who share a rare genetic abnormality involving the ROS1 gene, united to support each other and promote research. They formed the Global ROS1 Initiative, a collaboration between foundations, academic researchers, and industry that aims to improve outcomes for future patients.

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  • Researchers Design a Precise Library for CRISPR-Mediated Genetic Screens
    April 6, 2017, by Amy E. Blum, M.A.

    Researchers in the Cancer Target Discovery and Development Network used machine learning to create improved CRISPR libraries for genomic studies. Their new libraries of single guide RNAs can be used to alter gene expression with greater sensitivity and specificity.

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  • Democratizing Access to CCG Data: Cancer Genomics Cloud Pilots
    March 7, 2017, by Izumi Hinkson, Ph.D.

    Big data is essential to cancer research. Yet as we collect more cancer data, we limit the number of researchers who can participate. By enabling access to NCI data and computational resources in the cloud, the cloud pilots contribute to a cancer data ecosystem that enables diverse researchers to advance precision oncology.

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