Case Study: Anthony Nolan improves stem cell matching research with Google Cloud Platform

Anthony Nolan Helping stem cell transplant patients find a lifesaving match with Google Cloud

Anthony Nolan, a charity and stem cell register supporting people with blood cancer and blood disorders, needed a faster and more efficient way to analyze large volumes of gene sequencing data to improve donor-recipient matching. Its previous in-house HPC setup was costly to run and difficult to maintain, making manual analysis of complex DNA variants impractical.

Google Cloud Platform provided the flexible, secure infrastructure Anthony Nolan needed, including Compute Engine and BigQuery, along with low-cost, high-availability storage for terabytes of sequencing data. With Google Cloud Platform, the organization could process gene sequences at speed, build tailored bioinformatics applications, and reduce maintenance overhead, helping it scale research and improve the accuracy of stem cell matches.

Anthony Nolan

James Robinson

Senior Bioinformatics Scientist