Computational Resources

The CHSI has high-priority access to 31 servers on the Duke Compute Cluster, comprising 8 virtual nodes configured for GPU computation (RTX 2080 Ti GPU, 1 CPU core [2 threads], 16 GB RAM) and 23 non-GPU virtual nodes for CPU and/or memory intensive tasks (42 CPU cores [84 threads], 700 GB RAM). All nodes utilize Intel Xeon Gold 6252 CPUs @ 2.10GHz. Non-PHI assay data can be stored on the Duke Data Commons (80 USD per terabyte per year) or archived using the Duke Data Service (no charge). For massive-scale data processing, we can collaborate with immunological researches to deploy our analytic pipelines on cloud computing platforms.

See the CHSI Cluster Usage page for details on using the cluster.

Bioinformatics Expertise

Complementing the physical computational resources available, CHSI also provide the expertise necessary to make effective use of these resources to process, analyze and integrate data through collaborations with immunology researchers. For example, the bioinformatics group develops containerized pipelines for common immunological assays designed to run in a reproducible and scalable fashion on the Duke Compute Cluster and will collaboratively develop custom immune analytic workflows with investigators.

Quantitative Expertise

The CHSI community includes faculty, staff, postdoctoral fellows and graduate students with expertise in several quantitative disciplines who are invested in developing and applying their skills to immunological applications. There is a broad range of quantitative expertise that can be tapped by the immunology research community in collaborative projects, including statistical inference for complex assays, phylogenetics, immunogenomics, host-pathogen modeling, predictive modeling and integrative analysis.