We knew cloud storage would provide a whole new level of data federation and collaboration. We can now work to build a cloud data ecosystem where researchers can integrate all of their workflows.
Today, the demand for genomic data generation has skyrocketed, and the amount of computational research has also increased. Therefore, the Broad Institute of the Massachusetts Institute of Technology (MIT) moved its data to Google Cloud N2.
To expand the study of applied sciences, the Brod Institute worked with Microsoft and Verily to develop Terra, a scalable and secure platform for biomedical researchers. It can be accessed from anywhere in the world, and can launch analysis and collaboration tools. Terra is built on cloud infrastructure.
As a result, genome exploration is 25% faster and 34% less expensive with modular workflows, properly sizing cloud instances for workload needs, and optimized for scalable processors. Also, data processing costs decreased by 85%.
The new platform will help researchers find new solutions faster in the treatment of human diseases.