UVA School of Medicine

Research Computing

Enabling scientific breakthroughs at scale with advanced computing

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  • Workshops

    School of Medicine Research Computing provides training opportunities covering a variety of data analysis, basic programming and computational topics. All of the classes listed below are taught by SOMRC experts and are freely available to UVa faculty, staff and students. For a comprehensive list of all such educational resources visit the Computation and Data Resource Exchange (CADRE) education portal. Upcoming – Fall 2017 Registration is now open! Mark these dates on your calendar.
  • Ivy Domino Data Lab (DDL) Quick Start

    Domino Data Lab (DDL) provides a central environment and features for data science projects including project management, collaboration with team members, and setting up hardware configuration for a project. Account Request Access to DDL to Ivy is managed through the Ivy account request process. Accounts are issued on a per project basis, with PIs (and any project members) being granted individual accounts to log into the DDL platform. Once the request has been approved and all associated members have completed the necessary documentation, each individual project member can sign into DDL with his / her UVa Eservices user name and password.
  • Tools / Applications

    Packages R Packages Scripts AWS Utilities - Utility snippets for interacting with core AWS services. Install AWS CLI on Rivanna Server Images Amazon Machine Images (AMI) Docker Containers Genomics pipeline Templates Cloud-Templates - CloudFormation stacks for AWS deployments.
  • Data Analysis

    School of Medicine Research Computing can help with accessing, preparing, visualizing and analyzing data. We can assist you by implementing your analysis strategy in an appropriate computing language, including R, Python and Matlab. We will work with you to prepare scripts that are are reproducible, efficient and flexible. Manipulation Data analysis generally involves a significant effort to transform, aggregate, subset or otherwise prepare a dataset. That could include dealing with missing values as well as merging or joining multiple datasets.
  • Domino Data Lab

    More details about DDL go here.