The following release notes cover the most recent changes over the last two months. If you have any questions, email the All of Us Researcher Workbench support team at support@researchallofus.org.
All of Us Researcher Workbench features and updates
- MySQL v8 upgrade - the Cohort Builder and Dataset Builder sql indexes have been updated to use MySQL8.0.
- Zone selection for Jupyter environments - you can now select the cloud environment zone for standard Jupyter environments. A zone is a deployment area for Google Cloud resources within a region. If you experience an error such as “zone_resource_pool_exhausted” you can switch zones to circumvent this issue.
Bug fixes
- Support widget - the support widget would not properly close after launch in the Researcher Workbench. This bug has been resolved.
- Persistent Disk UI issue - If a Jupyter persistent disk (PD) existed from a previous standard environment (VM), but you transitioned over to a Dataproc cluster, you would be prompted to delete the PD, or experienced an environment failure when creating a new standard VM. This has been resolved.
- Featured Workspace page access - users with Registered Tier only access were unable to load the Featured Workspace page inside the Researcher Workbench. This bug has been resolved.
- GPUs - there was a bug with using GPUs in a standard Jupyter environment (VM) after the environment was paused. This has been resolved.
Support resources
- New to the All of Us genomic dataset? See Getting Started with Genomic Analyses on the Researcher Workbench for recommendations and tips before starting your analysis.
- New Office Hours informational sessions are available in the “Videos” section to include, Shared Workspace Storage for RStudio and SAS Studio, allofus: an R package resource highlight, All by All Browser Preview.
- We have updated a few of our Featured Workspaces:
- Check out the Community Workspace PGRN 2024 Scientific Meeting All of Us Genomics workshop; notebooks, Appendix_4_Hail_plotting_standard_vm.ipynb, and Appendix_5_Hail_GWAS_standard_vm.ipynb provide some additional insight into using using Hail/Bokeh to plot data.
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