/tag/shiny

  • LOLAweb

    LOLAweb 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.
  • Workshops

    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 Workshops for 2021 have been moved to online learning formats due to campus closures from COVID-19. DATE WORKSHOP INSTRUCTOR 01/19/2021, 01/20/2021, 01/21/2021 High Performance Python Katherine Holcomb 02/04/2021 Introduction to Shiny Christina Gancayco 02/05/2021, 02/12/2021 Parallel Matlab Ed Hall 02/11/2021 Customizing Shiny Apps Christina Gancayco 02/12/2021 Optimizing R Code Jacalyn Huband 02/18/2021 Building Containers for Rivanna Ruoshi Sun 02/19/2021 Optimizing Matlab Code Ed Hall 02/25/2021 Minimal Containers Ruoshi Sun 02/25/2021 Biopython Karsten Siller 03/16/2021 Using Bioinformatics tools on Rivanna Gladys Andino 03/12/2021 Parallelizing R Jacalyn Huband 04/09/2021 R with MPI Jacalyn Huband Research Computing is partnering with the Research Library and the Health Sciences Library to deliver workshops covering a variety of research computing topics.