Terra’s workflow management system now allows you to use a newer model of Intel CPUs than what the system normally uses by default to execute workflow tasks. You’ll be able to request “N2 instances” instead of “N1 instances”, which use 2nd Generation Intel® Xeon® Scalable Processors, codenamed “Cascade Lake”.
This week we highlight a new video we created to help newcomers understand what is Terra. The video summarizes why it makes sense to move biomedical data to the cloud, and outlines how Terra helps you access data, analyze it, and collaborate securely there.
Terra has offered the ability to use GPUs in workflows for quite some time, yet many of you have told us that you also need to be able to run GPU-enabled computations interactively, so we’re really excited to roll out GPU support for Jupyter Notebooks.
This blog covers some key concepts and practical solutions for tackling the question of compute costs incurred by running workflows, which are typically the hardest to predict among the various types of cloud costs.
We’ve added the ability to launch R Shiny apps from Terra’s built-in RStudio environment, opening up some really exciting possibilities for taking interactive data visualization in Terra to the next level.
Got any ideas for improving Terra? The Feature & Documentation Requests section of the Community forum is the best way to let us know what you’re thinking.
The cloud is the future of data sharing and collaboration. Yet to make it all work, it’s critical to provide appropriate tools and interfaces that streamline data access and analysis operations for researchers.
Jonathan Lawson explains how cumbersome data access processes that create major bottlenecks in accessing genomic data and limit scientific impact can be streamlined through ontologies and automation.
We’ve mentioned the AnVIL project a number of times in recent blog posts — covering topics such as Dockstore, RStudio, Galaxy, and DRS URIs — so it feels like it’s high time that we gave you some more context. Specifically, we thought it might be useful to reiterate the key goals of the AnVIL project and explain briefly how Terra fits in with the other AnVIL components.
The Broad Institute has been awarded the high profile “FedRAMP Moderate” security authorization for the operation of the Terra platform. David Bernick gives us insight into the FedRAMP program and explains what this means for researchers using Terra to access, analyze and share sensitive data.
Terra is developed by the Broad Institute of MIT and Harvard in collaboration with Microsoft and Verily.
