NCI Biomedical Informatics Blog
- Predictive Modeling for Pre-clinical Drug Screening: Improving Models Derived From Observational Studies Using Machine Learning and Simulation
- Population Level Pilot: Population Information Integration, Analysis, and Modeling for Precision Surveillance
- Introducing the Data Commons Framework
- Modeling the Dynamics of Membrane-bound Mutant RAS to Accelerate Discovery of Novel Drug Targets
- CANDLE: Scaling JDACS4C Algorithms to Unprecedented Magnitudes
High-Performance Computing (HPC)
Advances in genomics, proteomics, and imaging are rapidly increasing the volume of data that informs cancer research. At the same time, new tools and techniques for analysis, simulation and data management provide powerful opportunities both for tackling existing problems and for exploring new scientific landscapes. In order to manage the data explosion and take full advantage of new analytical tools and techniques, researchers need high-end computing support.
The High-Performance Computing (HPC) Program aims to foster the expanded use of an HPC ecosystem to accelerate advances in predictive oncology research and clinical applications. The program aims to develop the computational and data science ecosystem by addressing critical needs in computing, data transfer, data management, exploration and education in these areas required to advance NCI's mission.