2019 - CCG Updates & Insights
- Low-Coverage Whole Genome Sequencing: Learning From Less Data
Low-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.
- Beat AML 1.0: A Collaborative Program for Functional Genomic Data Integration
The 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 Suvà
Brain 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.