/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 2020 have been moved to online learning formats due to campus closures from COVID-19. DATE WORKSHOP INSTRUCTOR 10/07/2020 Intro to Shiny Apps Christina Gancayco 10/09/2020 Data Science with Matlab Ed Hall 10/13/2020 Using Rivanna from the Command Line Gladys Andino 10/14/2020 Building Software Containers for Rivanna Ruoshi Sun 10/15/2020 Biopython Karsten Siller 10/21/2020 Customizing Shiny Apps Christina Gancayco 10/23/2020 Using the Julia Programming Language on Rivanna Ed Hall 10/24/2020, 11/01/2020 Tensorflow – Turning the Knobs (Overview and Q&A) Jacalyn Huband 11/12/2020 Automation of Image Processing with Fiji/ImageJ and OMERO Karsten Siller 11/17/2020 Using Bioinformatics Tools on Rivanna Gladys Andino Research Computing is partnering with the Research Library and the Health Sciences Library to deliver workshops covering a variety of research computing topics.