2019 - CCG Updates & Insights
-
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.
-
Dissecting Cellular Heterogeneity, Electronic Notebooks, and Next-Gen Cancer Models: August OCG e-NewsletterSingle-cell RNA sequencing, using “electronic notebooks” for genomic analyses, next-generation cancer models, and other cancer genomics highlights from the August 2019 edition of the Office of Cancer Genomics (OCG) e-Newsletter.
-
Longitudinal Data from the MMRF Released at the GDCResearchers can now access rich, longitudinal genomic and clinical data from the Multiple Myeloma Research Foundation (MMRF) at NCI's Genomic Data Commons. CCG Director Lou Staudt describes the collaboration with the MMRF in a guest blog post.
-
Happy 3rd Birthday, Genomic Data Commons: Continued Data and Tool GrowthAt the Genomic Data Commons’ three year anniversary, Dr. Lou Staudt reflects on milestones reached and describes future goals for growing an interactive knowledge system for the cancer research community.
-
Interpreting Variants, Cancer Immunology Screens, and Insights Into Burkitt Lymphoma Biology: Latest OCG e-NewsletterThe latest edition of the Office of Cancer Genomics (OCG) e-Newsletter includes discussions from researchers on recent advances in cancer genomics, updates on some of our programs, and personal accounts on finding new ways to support cancer research.
-
Low-Coverage Whole Genome Sequencing: Learning From Less DataLow-coverage whole-genome sequencing is a recent trend to sequence samples to a very low depth of coverage, often less than 1X. Researchers from very different fields (genetics and cancer diagnostics) are developing computational methods to learn useful information from the limited amount of data.
-
CCG at AACR 2019Presentations and other activities with NCI's Center for Cancer Genomics (CCG) at AACR 2019, March 29 - April 3
-
Beat AML 1.0: A Collaborative Program for Functional Genomic Data IntegrationThe Beat AML project integrates molecular, drug response, and clinical data for progress towards individualized therapies for acute myeloid leukemia patients. Dr. Jeffrey Tyner from Oregon Health and Science University describes the collaborative effort.
-
Brain Tumors Through the Single-Cell RNA Sequencing Lens: Researcher Interview with Mario SuvàBrain cancers are notoriously hard to study, model, and treat. Dr. Mario Suvà speaks about how single-cell RNA sequencing is helping researchers gain clarity on the origins, development, and response to treatment for these cancers.