UVA School of Medicine

Research Computing

Enabling scientific breakthroughs at scale with advanced computing

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  • User Support

    School of Medicine Research Computing (SOMRC) is committed to providing individualized support for researchers who are engaged in computationally intensive projects. With expertise in high-performance computing, SOMRC provides support in the following areas: Bioinformatics & Genomics Cloud Solutions Data Analysis Scientific Computing SOMRC delivers the services above in the context of system support (web-based ticketing) and consultations (in-person meetings). In either scenario, we seek long-term scientific collaborations. Please use the contact methods below for user support.
  • Use Cases

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  • Advanced Data Visualization with R

    NEW This workshop will cover fundamental concepts for creating effective data visualization and will introduce tools and techniques for visualizing large, high-dimensional data using R. We will review fundamental concepts for visually displaying quantitative information, such as using series of small multiples, avoiding “chart-junk,” and maximizing the data-ink ratio. After briefly covering data visualization using base R graphics, we will introduce the ggplot2 package for advanced high-dimensional visualization. We will cover the grammar of graphics (geoms, aesthetics, stats, and faceting), and using ggplot2 to create plots layer-by-layer.
  • Advanced Data Manipulation with R

    Data analysis involves a large amount of janitor work - munging and cleaning data to facilitate downstream data analysis. This workshop is designed for those with a basic familiarity with R who want to learn tools and techniques for advanced data manipulation. It will cover data cleaning and “tidy data,” and will introduce participants to R packages that enable data manipulation, analysis, and visualization using split-apply-combine strategies. Upon completing this lesson, participants will be able to use the dplyr package in R to effectively manipulate and conditionally compute summary statistics over subsets of a “big” dataset containing many observations.
  • Domino Data Lab

    More details about DDL go here.