Erdal Cosgun is the Lead Data Scientist in the Microsoft Genomics Team and working on Interactive Analysis component of Terra on Microsoft Azure. Erdal is the co-author of this blog and published Use IGV in Terra on Azure with a notebook featured workspace to show how to use IGV on Terra notebooks. Interactive
This pediatric oncology study used Terra to identify germline variants contributing to Ewing sarcoma pathogenesis in 1,147 individuals with pediatric sarcoma diagnoses.
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.
Free online training sessions covering genomics education resources, practical implementation of GWAS methodologies, and bioinformatics workflow development.
Senior product manager Alessandro Culotti shares his team’s plans for making it possible to run a wider variety of analysis applications in Terra.
A review of data, code and tools available for reuse in Terra, inspired by “Ten simple rules for large-scale data processing” (Fungtammasan 2022)
The Human Cell Atlas project makes its vast collection of data available through a Data Portal that offers direct export to a Terra workspace.
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.
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.
Terra is developed by the Broad Institute of MIT and Harvard in collaboration with Microsoft and Verily.
