Terra workspaces offer a great way to package your work and share it with others as a sort of interactive methods supplement that has the potential to significantly increase the computational reproducibility of your publications.
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.
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 added the ability to launch R Shiny apps from Terra’s built-in RStudio environment, opening up some really exciting possibilities for taking interactive data visualization in Terra to the next level.
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.
We teamed up with the BRAIN Initiative Cell Census Network consortium to put together a hands-on workshop focused on helping researchers get started with key resources including the Neuroscience Multi-Omic Archive, Single Cell Portal, and Terra.
What better way to keep the rstudio::global(2021) party going than to share a video showing how to use RStudio in Terra? Yes, you read that right, RStudio is available in Terra! Specifically, we provide a cloud environment pre-configured to run the server version of RStudio, as an alternative (or complement) to Jupyter Notebooks. […]
In this guest blog post, Tiffany Miller describes an analysis project she undertook in Terra in collaboration with her colleague Mark Walker, in which they applied a metagenomic approach to identify viral insertion sites in human genome sequencing data […]
Last week we were very excited for our colleagues in the gnomAD team, who announced on their blog that the entire gnomAD dataset is now available for direct use or download from Google Cloud as well as Amazon Web Services and Microsoft Azure. If you’re not familiar with gnomAD, the name stands for Genome Aggregation […]
One of the challenges we face in human genomic research is that there is a lot of data that we can’t freely share with one another, for legal and ethical reasons. This can be particularly vexing for tool developers who need data for testing, and for educators who need to provide […]
Terra is developed by the Broad Institute of MIT and Harvard in collaboration with Microsoft and Verily.
