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
Verily software engineers share tips and resources for running Jupyter notebooks programmatically without writing any code.
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 Yossi Farjoun recounts the story of how he solved a mysterious case of low sequencing alignment rates in a sequencing project.
This chronic lymphocytic leukemia (CLL) study used Terra to process and analyze WES, WGS, RNA-seq, RRBS, and targeted NOTCH1 sequencing data.
Guest author Stephen Fleming introduces CellBender, a software package for eliminating technical artifacts from high-throughput scRNA-seq and other multi-omics data.
Workspaces created before September 27, 2021 will be migrated to per-workspace Google Projects starting August 8, 2022.
Adam Mullen, Software Product Manager in the Data Sciences Platform, explains a change to the default storage bucket setting for new Terra workspaces that will address the upcoming Google Cloud pricing changes to a number of services, including multi-regional storage buckets.
Computational biologist and GATK team member Megan Shand describes the new GATK pipeline for processing short-read WGS data produced by the Ultima Genomics technology.
Terra is developed by the Broad Institute of MIT and Harvard in collaboration with Microsoft and Verily.
