Bioinformatics scientist Frank Ambrosio recounts how Terra has come to serve as a shared platform for public health labs, and to foster cross-cutting collaboration among members of the public health community
The next generation of Terra’s workflow execution capabilities will provide support for a wider range of tools and workflow languages.
Kathleen Morrill of the Karlsson Lab gives us a pawtastic tour of canine science initiatives and lays out the ulti-mutt vision of a “dogs in the cloud” data ecosystem.
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Brendan Reardon, computational biologist at Dana Farber Cancer Institute, describes how the MOAlmanac algorithm and analysis portal enable a wide range of users to leverage large-scale genomics to guide individualized patient care in oncology.
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.
Dr. Martin Morgan gives us an overview of the R / Bioconductor AnVIL package and shows how his group’s work empowers researchers to work more easily on the cloud.
Sam Friedman, data scientist in the Broad’s Data Sciences Platform, explains how using the Intel OpenVINO framework enabled him to accelerate the GATK CNN tools.
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.
Terra is developed by the Broad Institute of MIT and Harvard in collaboration with Microsoft and Verily.
