Broad Institute and Google to Offer Genomic Analysis Tools in the Cloud

With a little help from Google, the Broad Institute of MIT and Harvard is tackling the need for computing infrastructure to store and process the enormous datasets involved in biomedical research. The institute is partnering with Google Genomics to offer its Genome Analysis Toolkit (GATK) as a service on the Google Cloud Platform, enabling genomic researchers to upload, store and analyze data in a scalable, high-performance environment.

Developed at the Broad Institute, GATK is a software package designed to analyze high-throughput genomic sequencing data, with a focus on genetic variant discovery and genotyping as well as a data quality assurance. It is already available for download at no cost for academic and non-profit users; a paid license is available for business users. To date, more than 20,000 users have processed genomic data using GATK, according to a press release.

The Google Genomics service will open up the capabilities of GATK to researchers who don't have access to the dedicated compute infrastructure and engineering teams required for analyzing genomic data at scale.

"Large-scale genomic information is accelerating scientific progress in cancer, diabetes, psychiatric disorders, and many other diseases," said Eric Lander, president and director of Broad Institute, in a statement. "Storing, analyzing, and managing these data is becoming a critical challenge for biomedical researchers. We are excited to work with Google's talented and experienced engineers to develop ways to empower researchers around the world by making it easier to access and use genomic information."

For its initial alpha release, the GATK cloud service will be made available to a limited set of users. Broad Institute said it will continue to support and upgrade GATK for all users, both on site and in the cloud, and will continue to offer the software directly.

About the Author

Rhea Kelly is editor in chief for Campus Technology, THE Journal, and Spaces4Learning. She can be reached at [email protected].

Featured

  • A panel discussion from SXSW EDU 2025

    12 Ways to Dive into AI at SXSW EDU

    This March 9-12, the SXSW EDU Conference & Festival returns to Austin, TX, to celebrate innovation, experimentation, and learning across every stage of education.

  • glowing crystal ball with network connections

    Call for Opinions: 2026 Predictions for Higher Ed IT

    How will the technology landscape in higher education change in the coming year? We're inviting our readership to weigh in with their predictions, wishes, or worries for 2026.

  • glowing brain above stacked coins

    The Higher Ed Playbook for AI Affordability

    Fulfilling the promise of AI in higher education does not require massive budgets or radical reinvention. By leveraging existing infrastructure, embracing edge and localized AI, collaborating across institutions, and embedding AI thoughtfully across the enterprise, universities can move from experimentation to impact.

  • AI word on microchip and colorful light spread

    Microsoft Unveils Maia 200 Inference Chip to Cut AI Serving Costs

    Microsoft recently introduced Maia 200, a custom-built accelerator aimed at lowering the cost of running artificial intelligence workloads at cloud scale, as major providers look to curb soaring inference expenses and lessen dependence on Nvidia graphics processors.