Explore Stanford technologies available for licensing:

Large-scale, granular biological datasets such as proteomic, metabolomic, and transcriptomic profiles are powering the current shift toward precision medicine.

Rapid whole genome nanopore sequencing and data analysis is a platform developed at Stanford that delivers genomic results quickly.

Stanford scientists have developed a high-performance informatics framework for deep learning analyses of high dimensional (HD) omics data.

Stanford researchers developed a framework called 'Hummingbird' that predicts the cheapest, fastest and most efficient configurations to execute genomics pipelines on the cloud.