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In this guest blog, Andrew Zimmer, Director of the Data Donation Platform within the Broad Institute Data Sciences Platform, recounts how his team came to support TestBoston, a collaborative project with Brigham and Women's Hospital that aims to monitor the infection rate of COVID-19 in Massachusetts over time.

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On the cloud, the rate you pay for computing resources is based on the technical specifications of the virtual machines you use. Our pipeline engineering team offers some tips for cutting costs by adjusting workflow resource allocations dynamically.

GATK4-Terra-glass

The GATK team recently released a major update, version 4.2. This blog covers a recap of GATK's history in Terra as well as a roundup of relevant resources.

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In our work with biomedical data, we are fortunate to count many of the experts quoted in the article as friends and colleagues. We agree genomic data sharing is not yet living up to its promise, yet are optimistic about the emergence of new approaches and platforms.

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We are taking the next step in our journey by joining our efforts with Microsoft, a partner that truly needs no introduction. This multi-year partnership will bring together advanced technologies, industry expertise, and scale to accelerate the next generation of the Terra platform for health and life sciences research. [...]

Warp_Speed

Guest blog post by Kylee Degatano, Product Manager for the Lantern Pipelines team in the Data Sciences Platform at the Broad Institute. I'm very excited to announce the recent release of WDL Analysis Research Pipelines (WARP), a brand new, public GitHub repository of cloud-optimized WDL workflows that are used in production at the [...]

Technological_City

One of the foundational principles of Terra is that it's designed to be an open ecosystem, not a walled garden — there are no lock-in mechanisms. If after a while you decide to leave, you can take all the analysis tooling you've been using here and expect it to still be [...]

Medicine_OG

One of the challenges we face in human genomic research is that there is a lot of data that we can't freely share with one another, for legal and ethical reasons. This can be particularly vexing for tool developers who need data for testing, and for educators who need to provide [...]

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