Samantha Zarate of the Schatz Lab takes us behind the scenes of the large-scale analysis that demonstrated the benefits of the new T2T-CHM13 reference genome for variant calling.
Dr. Kiran Garimella gives an overview of MAS-ISO-seq, a new method for generating a lot more data per run with long-read sequencing technologies such as PacBio, and shares a workspace that demonstrates the method’s data processing.
The Broad Institute announced a new partnership with the CDC and Theiagen Genomics that will help public health labs adopt Terra for pathogen genomics and biosurveillance.
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 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 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.
PANOPLY is a computational framework for applying statistical and machine learning algorithms to transform multi-omic data from cancer samples into biologically meaningful and interpretable results. In this post, D. R. Mani explains how his team is leveraging Terra to make PANOPLY accessible to a wide range of researchers.
DRS stands for Data Repository Service API, one of the interoperability standards developed under the aegis of the Global Alliance for Genomics and Health (GA4GH). In this blog, we explain the big picture of what DRS is for and how it liberates you from having to worry about certain data management problems.
Like any repository of community-contributed content, we need to ensure that contributors can manage their content conveniently, and that researchers are able to find the right content for their needs.
Many workflows generate intermediate files that you won’t ever use again once the pipeline has run to completion. You can reduce your data footprint — and your storage costs! — by getting Terra to delete them for you.
Terra is developed by the Broad Institute of MIT and Harvard in collaboration with Microsoft and Verily.
