Building a Unified Cancer Immunotherapy Data Library

Explore the development of CANDEL (Cancer Data and Evidence Library), a database system leveraging Datomic to unify cancer immunotherapy research data. Learn how this innovative approach addresses the challenge of managing the explosion of data in cancer research. Discover how CANDEL's expressive schema maps diverse representations into a common form and captures evolving concepts in molecular and cancer biology. Understand the configurable, data-driven ETL pipeline developed in Clojure that simplifies data loading. See how data scientists can utilize datalog queries directly from R analysis environments, and how Datomic's immutable history ensures reproducible analysis for large-scale collaborations. Gain insights into the application of CANDEL in translational analysis at the Parker Institute for Cancer Immunotherapy, and its potential to accelerate cures for cancer. Delve into the technical aspects of the system, including the metamodel, import validation, and query capabilities. Examine real-world applications, such as the PRINCE clinical trial in Pancreatic Cancer, and how CANDEL enables faster progress in cancer immunotherapy research through improved data management and analysis.