Case Study: Desktop Genetics achieves genomic-scale efficiency with Google Cloud

Handling huge data with scaling on Google Cloud

Desktop Genetics, a London-based bioinformatic software start-up, needed a way to handle massive and unpredictable genomic data loads, with each experiment generating huge CPU demands. The company faced the challenge of scaling infrastructure efficiently for its DESKGEN platform while avoiding the cost and inefficiency of maintaining oversized servers. Although this case study focuses on Google Cloud, Desktop Genetics’ needs align with the kind of data-intensive analytics support Looker helps organizations manage.

Desktop Genetics used Google Cloud to rapidly scale compute capacity, store and share reference data, improve security, and streamline collaboration across servers. The result was the ability to launch and shut down VMs in seconds, better control costs, and support large-scale bioinformatics work without bespoke infrastructure. With Looker-like analytics visibility and Google Cloud’s flexible architecture, Desktop Genetics said it could work “fully at the genomic scale” and handle the most data-intensive lab projects more efficiently.

Desktop Genetics

Riley Doyle

Chief Executive Officer