UVA 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 experts and are freely available to UVa faculty, staff and students.
Upcoming Workshops DATE WORKSHOP INSTRUCTOR 01/30/20 Using Rivanna from the Command Line Gladys Andino 01/31/20 Fundamentals of Matlab Ed Hall 02/06/20 Parallel Computing with Matlab Ed Hall 02/11/20 Shiny Web Apps in R Christina Gancayco 02/13/20 Software Containers for HPC Environments Ruoshi Sun 02/13/20 Statistical Methods in Matlab Ed Hall 02/18/20 Intro to Image Processing with Fiji/ImageJ Karsten Siller 02/19/20 Moving R to HPC Jackie Huband 02/20/20 High Performance Python Karsten Siller 02/20/20 Optimization Methods in Matlab Ed Hall 02/25/20 Automation of Image Processing with Fiji/ImageJ Karsten Siller 02/26/20 Optimizing R Code Jackie Huband 02/27/20 C/C++ and Fortran on Rivanna Ruoshi Sun 02/27/20 Deep Learning in Matlab Christina Gancayco 03/04/20 Parallelizing R Jackie Huband 03/05/20 Image Processing in Matlab Christina Gancayco 03/18/20 Parallel R with MPI Jackie Huband 03/26/20 Julia on Rivanna Ed Hall View All Upcoming Workshops on CADRE Academy ↗]() – View All Upcoming Workshops
The past few years have seen an explosion of interest in understanding the role of regulatory DNA. This interest has driven large-scale production of functional genomics data resources and analytical methods. One popular analysis is to test for enrichment of overlaps between a query set of genomic regions and a database of region sets. In this way, annotations from external data sources can be easily connected to new genomic data.
SOM Research Computing is working with faculty in the UVA Center for Public Health Genomics to implement LOLAweb, an online tool for performing genomic locus overlap annotations and analyses. This project, written in the statistical programming language R, allows users to specify region set data in BED format for automated enrichment analysis.