Check out the Summer Education Series from UVA Research Computing (RC). RC staff are teaching a series of free, handson workshops this summer that are open to all UVA researchers. Space is limited, so register now! Topics include Python, R, MATLAB, high performance computing, and more.
The Claude Moore Health Sciences Library is located at 1350 Jefferson Park Avenue between McKim Hall and Pinn Hall (formerly Jordan Hall).
Access to Health System buildings is limited to those with a Health System ID, however, several entrances have accommodations for visitors. Please see the map below for entrances convenient to main Grounds. Entrances indicated with a red arrow have a "doorbell" to request access. The main entrance to West Complex (indicated by a green arrow) is publicly accessible, as is the main entrance to the University Hospital.
If you have questions about accessing the Library, please contact the HSL Service Desk at 4349245444.
Intro to RNASeq  May 22
Install BiocManager if necessary
if (!requireNamespace("BiocManager", quietly = TRUE))
install.packages("BiocManager")
Install the following packages using BiocManager, example BiocManager::install("DESeq2")

Intro R: May 14
Winter/Spring 2019
Introduction to R
Introduction to SPSS
Data Visualization in R with ggplot2
Data Preparation: Taming wild data with R
Essential Skills for Data in Excel
Essential Statistics with R
Power and Sample Size in R
Predictive Analytics with R
Managing R Libraries
Reproducible Research Using RMarkdown and GitHub
Interactive Visualization with R using Shiny
Regression in R
Introduction to RNASeq
Single cell RNASeq with Seurat
Introduction to QGIS
Qualitative Data Analysis and Introduction to Dedoose
Introduction to SAS
Funding Discovery Workshop
Introduction to Qualtrics
Introduction to scientific image processing with Fiji/ImageJ
Automation of image processing with Fiji/ImageJ
Introduction to NCBI Resources
Fall 2018
Introduction to R
Introduction to SPSS
Data Visualization in R with ggplot2
Data Preparation: Taming wild data with R
Essential Skills for Data in Excel
Essential Statistics with R
Introduction to QGIS
Introduction to Stata
Introduction to SAS
Funding Discovery Workshop
Introduction to Qualtrics
Introduction to scientific image processing with Fiji/ImageJ
SciFinder Skills Enhancement
Reaxys Medicinal Chemistry
Introduction to NCBI Resources
Regression in R
Automation of image processing with Fiji/ImageJ
Predictive Analytics with R
Building Shiny Web Applications in R
Winter/Spring 2018
Introduction to R
Introduction to SPSS
Data Manipulation in R with dplyr
Managing Your Spreadsheet Data
Interactive Visualization with R
Predictive Analytics with R
Funding Discovery Workshop
Survey Design with Analysis in Mind (Qualtrics)
Data Manipulation in R with dplyr
Essential Statistics with R
Using SPSS Syntax
Introduction to SAS
Building Shiny Web Applications in R
Data Visualization in R with ggplot2
Predictive Analytics with R
Essential Statistics with R
Using SPSS Syntax
Fall 2017
Coordinated under the UVA BioConnector branding, these workshops were led by SOM Research Computing, Health Sciences Library, Public Health Sciences, University Library, and Advanced Research Computing Services
Advanced Data Manipulation with R  20171003
Advanced Data Visualization with ggplot2  20171030
Automated Image Analysis with ImageJ  20171019
Building Shiny Web Applications in R  20170418
Data cleansing in Python using Pandas and the Jupyter Notebook  20171009
Data visualization in Python  20171012
Essential Statistics with R  20171113
Introduction to Cloud Computing with AWS  20170926
Introduction to the Command Line  20170907
Introduction to Dedoose 20171031
Introduction to Docker Containers  20171031
Introduction to Git and GitHub 20170922
Introduction to Ivy  20170919
Introduction to Matlab  20171107
Introduction to Python  20170905, 20170911
Introduction to R  20170906, 20170912
Introduction to Rivanna  20170921, 20171101
Introduction to SAS  20170927
Introduction to Scientific Image Processing with Fiji/ImageJ, 20171010
Introduction to SPSS  20170920
Organizing Your Spreadsheet Data  20170928, 20171107
Overview of UVA Research Computing Resources  20170914
Power and Sample Size Analysis with R  20171012
Python Web apps using the Flask framework  20171023
R Package Development Tools  20171016
Reproducible Reporting with R and RMarkdown  2017116
Spring 2017
Coordinated under the UVA BioConnector branding, these workshops were led by SOM Research Computing, Health Sciences Library, Public Health Sciences, and the University Library
Advanced Data Manipulation with R  20170214
Advanced Data Visualization with R  20170221
Automated Image Analysis with ImageJ  20170329
Building Shiny Web Applications in R  20170418
Data cleansing in Python using Pandas and the Jupyter Notebook  20170315
Data visualization in Python using Matplotlib v. 2 and Bokeh  20170328
Essential Statistics with R  20170223
Introduction to Cloud Computing with AWS  20170404
Introduction to Python  20170209
Introduction to SAS  20170131
Introduction to the Command Line  20170126
Introduction to ArcGIS  20170327
Introduction to Dedoose  20170410
Introduction to SPSS  20170215
Managing Your Spreadsheet Data  20170314
Organizing Your Spreadsheet Data  20170124
Power and Sample Size Analysis with R  20170302
Python Web apps using the Flask framework  20170330
Quantitative analysis and visualization of medical images using Advanced Normalization Tools (ANTs)  20170419
R for Beginners  20170124
R for Beginners  20170202
Statistical Analysis with SAS  20170217
Survival Analysis in R with TCGA Data  20170331
Claude Moore Health Sciences Library
1350 Jefferson Park Avenue P.O. Box 800722
Charlottesville, VA 22908 (Directions)
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(434) 9245444
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