2019 - Updates & Insights Blog
-
Over 44,000 AACR Project GENIE Cases Available in the GDCNCI’s Genomic Data Commons (GDC) has released data for 44,756 cancer cases from AACR Project GENIE. By making this massive data set available through the GDC, AACR and their partners hope to expand the reach and potential impact of the project and accelerate precision oncology research.
-
CTD² DREAM Challenges: Develop Predictive Algorithms to Identify Effective Cancer Treatment StrategiesThe CTD² Network in partnership with Sage Bionetworks invites the community to participate in DREAM Challenges to develop predictive bioinformatics methods. The article provides the goals and questions to address for the CTD² Pancancer Drug Activity and CTD² BeatAML DREAM Challenges.
-
OCG-Supported Initiatives Provide Valuable Resources to Advance and Accelerate Precision OncologyNCI’s Office of Cancer Genomics (OCG) led many initiatives to accelerate the translational research efforts towards precision oncology and provide valuable genomic resources available for the research community.
-
Translating Genomics in Cancer: Interview with Dr. Andrew MungallDr. Andy Mungall of the British Columbia Cancer Genome Sciences Centre, provides his perspectives on cancer genomics research. Dr. Mungall is part of the effort to molecularly characterize tumors for CGCI projects.
-
HCMI Model-Associated Data Available at NCI’s Genomic Data CommonsHCMI’s next-generation cancer models are associated with clinical and molecular data which are stored at NCI’s Genomic Data Commons (GDC). This article explains the types of HCMI data, generated from Cancer Model Development Centers, available at the GDC and a brief guide on how to access the data.
-
Cracking the Cancer Code with Computational ApproachesThe Califano Lab employs a suite of systems biology algorithms to identify tumor master regulators on an individual patient basis, predict drugs to target those regulators, and identify an appropriate cancer model for testing those predictions. This work is performed as part of the CTD² research network.
-
Genome-wide Cell-Free DNA Fragmentation: A Potential Low-Cost Cancer Screening MethodDr. Robert Scharpf and Dr. Victor Velculescu discuss using DNA fragmentation profiles to analyze cell-free DNA and detect cancer from liquid biopsies. The machine learning-based method they developed could serve as a low-cost screening tool for a wide range of cancers.
-
All the Childhood Cancer Data in the GDC (So Far)Childhood cancer genomics data from NCI’s TARGET program available in the Genomic Data Commons, plus some other resources for childhood cancer research.
-
Scientific Applications of Next-Generation Cancer ModelsHCMI is providing the scientific community with next-gen cancer models that more closely resemble primary tumors, and that are annotated with genomic and clinical data. The article provides examples of how next-gen models have been applied in research.
-
Leveraging a Genomics Background to Facilitate Molecular Characterization of HCMI ModelsDr. Lauren Hurd, a new Scientific Program Manager for the Human Cancer Models Initiative (HCMI) discusses her background in genomics and its applications in her current role.