From his lab in the Center for Public Health Genomics at UVa, Nathan Sheffield seeks to develop a deeper understanding of functional genomics. Dr. Sheffield and his collaborators study epigenetic mechanisms, including DNA methylation, which can involve analyzing enrichment of genomic region set data. By identifying patterns of enriched genomic regions, one can differentiate between normal and diseased gene regulation. Dr. Sheffield builds on this research focus as well as a history of open-source software development with the publication of LOLAweb: A containerized web server for interactive genomic locus overlap enrichment analysis as part of a special web server issue of Nucleic Acids Research.
School of Medicine Research Computing provides training opportunities covering a variety of data analysis, basic programming and computational topics.
Workshops break roughly into the three main areas relevant to computationally-intensive research: code, data, and computing.
All of the classes are taught by SOMRC experts and are freely available to UVa faculty, staff and students.
R / R package development Python Matlab Biomedical Image Processing Bioinformatics on HPC Data manipulation Data visualization Databases Machine Learning Cloud Computing Containers Rivanna (HPC) Ivy (Secure Computing) Register through the new CADRE Academy portal.
UVA School of Medicine Research Computing (SOMRC) is a new program that aims to support computational biomedical research by providing advanced cyberinfrastructure and expertise in data analysis at scale. Our mission is to foster a culture of computational thinking and promote interdisciplinary collaboration in various data-driven research domains. We offer services related to high performance computing, cloud architecture, scientific programming and big data solutions. We also aim to promote computationally intensive research at UVA through collaborative efforts such as UVA’s own CADRE (Computation And Data Resource Exchange) and XSEDE (Extreme Science and Engineering Discovery Environment).
“Cloud computing” has come to mean a lot of things in recent years: web-based email services, or SaaS (software-as-a-service), or cloud-based storage like UVA’s use of Box. But behind all of these practical, useful tools is another cloud, made up of impossibly large, global-scale hardware farms that the above examples live and run on. These farms make up “cloud infrastructure,” and are now sold to consumers by Google, Rackspace, Microsoft, and Amazon.