Computational Resources
Discover hands-on repositories, workspaces, and computational resources to assist you in your analysis.
Back to topCollaborative Workspaces and Deployable Code
All of Us Workspaces
All of Us (AoU) public workspaces require an @researchallofus.org login.
The All of Us Research Program is one of the largest biomedical data resources of its kind. The Research Hub is home to All of Us data, research tools, and research projects.
Public and community workspaces are shared as read-only workspaces for the entire Researcher Workbench community to use in their analysis.
- All of Us Data Browser
- Educational Tools for the AoU Workbench
- Data Wrangling in AoU
- Dental Caries in AoU
- Periodontal Disease in AoU
- Oral Cancer in AoU
- How to Extract SDoH from Survey Data in AoU
- GWAS in AoU
- PheWAS of Tobacco Smoking in AoU
Terra Public Workspaces
Terra requires a Terra Workspaces login.
- GWAS using Terra Workspaces
- PRS Calculation
- ClinVar Variant Annotation and Filtering
- WGS Analysis Pipeline
ScHARe Collaborative Workspaces
ScHARe is powered by Terra, an open-source data analysis platform based on Google Cloud Platform. Using ScHARe’s Terra resources, researchers and their collaborators can access and cross-link the same publicly available or controlled-access data. They can also create secure online spaces for collaboratively running large-scale analyses and sharing reproducible results and resources.
ScHARe supports interactive analysis tools such as Jupyter Notebooks. The platform also supports Dockstore as a repository for Docker-based analysis workflows that allow users to automate basic steps in their analyses.
MIDRC Algorithms and Code
The Medical Imaging & Data Resource Center (MIDRC) Data Commons supports the management, analysis, and sharing of medical imaging data for the improvement of patient outcomes. The data in MIDRC are open access in order to foster machine learning innovation.
This link takes you to algorithms developed by MIDRC for public use.
Back to topComputing Resources
STRIDES Cloud Computing Resource
The STRIDES Initiative aims to help NIH and its institutions accelerate biomedical research by reducing barriers in utilizing commercial cloud services. This initiative aims to harness the power of the cloud to accelerate biomedical discovery. NIH and NIH-funded researchers can take advantage of STRIDES benefits.
AnVIL
The National Human Genome Research Institute’s Genomic Data Science Analysis, Visualization, and Informatics Lab-Space, or AnVIL, inverts the traditional model, providing a cloud environment for the analysis of large genomic and related datasets. By providing a unified environment for data management and compute, AnVIL eliminates the need for data movement, allows for active threat detection and monitoring, and provides elastic, shared computing resources that can be acquired by researchers as needed.
Back to topDecember 2024