Back to Basics: Intro to R and Data Wrangling with Transcriptomics

WHO is this for?

• If you are new to R & are short-budgeted on time!
• If you'd like to start working with data in R w/o learning all the programming details first!!
• If you have a neat data set (e.g., transcriptomics count data) you'd like to explore w/ basic statistics!
• If you are getting started with base R and want to learn more!
• If any of this is true, this workshop might be for you!

AGENDA
5:00–5:15 Meet & Greet | 🍕| Set-up
5:15–6:25 Workshop: Intro to R/RStudio
6:25–6:30 Q&A| How to reach us to continue this conversation!
SETUP INSTRUCTIONS
*This is a hands-on workshop. Please bring your laptop

• Before the Workshop: install R & RStudio OR use RStudio Cloud. See full installation instructions: https://docs.google.com/document/d/1VfD0bGUJBEzliW4C9Xbmk0_Kvx1aUiwY1A7TzY_B7_s/edit?usp=sharing

Having trouble with installation & set-up? Ping us on Slack! Or come 15min early.
USEFUL RESOURCES
Software Carpentry's Video Tutorial for installing R and R Studio:

• For Windows Users: https://www.youtube.com/watch?v=q0PjTAylwoU
• For Mac Users: https://www.youtube.com/watch?v=5-ly3kyxwEg

SET-UP

• To benefit most from this workshop, please bring your laptop with pre-installed RStudio (https://www.rstudio.com/products/rstudio/) and R.
• Please ping us on Discord (https://discord.gg/hyZKcbGSWw) or email us (aurora.colorado@rladies.org) with questions, if any.

Sponsor: Gignoux Lab, CU Department of Biomedical Informatics

• We are statistical and population geneticists interested in the confluence of epidemiology, AI and evolution. We use simulations, new methods, and large-scale datasets to improve personalized medicine. We are interested in improving risk prediction across the spectrum of diversity of human populations, integrating insights from functional genomics, and identifying the clinical and translational potential of modern genomics.