Erdal Cosgun-co author of this blog- is the Lead Data Scientist in the Microsoft Genomics Team and working on the Interactive Analysis component of Terra on Microsoft Azure. Terra on Microsoft Azure cloud computing continues to evolve to meet the demand for high-performance virtual machines (VMs) capable of handling
Learn how to apply hyperparameter optimization to tune a machine learning model with minimal effort, using the Framingham Heart Study risk prediction as an example use case.
NVIDIA’s Clara Parabricks workflows are now available in Terra. These GPU-accelerated genomic analysis workflows deliver up to 24x faster execution and can cut the total cost of execution by up to 50% compared to equivalent CPU-based workflows.
Guest author Stephen Fleming introduces CellBender, a software package for eliminating technical artifacts from high-throughput scRNA-seq and other multi-omics data.
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.
Terra is developed by the Broad Institute of MIT and Harvard in collaboration with Microsoft and Verily.
