This document discusses enabling real-time genome data research using in-memory database technology. It describes how in-memory databases can perform genomic analyses like variant calling and clustering of patient cohorts much faster than traditional disk-based approaches. The document outlines several research topics like improving data preparation pipelines and integrating genetic pathways. It also presents results showing how an in-memory database loaded a large genome dataset and was able to perform queries 82-600 times faster than conventional tools. The future potential for combining genomic and clinical data in real-time to help researchers, clinicians and patients is also discussed.