Resources


Below are some helpful resources.

UAB Resources

There are resources developed by or provided by UAB scientists, labs, and groups.

Tutorials and Guides by UAB Scientists & Groups

High Performance Computing

Cheaha

Cheaha is a High Performance Computing (HPC) resource intended primarily for batch processing of research computing software. We offer a user-friendly portal website Open OnDemand with graphical interfaces to the most common features, all in one place.

Learn more at https://docs.rc.uab.edu/cheaha/getting_started/.

Office Hours

  • U-BDS offers weekly data science office hours on Thursdays from 1:30pm-2:00pm.
    • If you are a UAB trainee, staff or faculty please feel free to stop by via zoom.
  • Code, Chat, & Collab is hosted weekly on Tuesdays by the Informatics Club in BBRB 263 at 11 AM.

  • UAB’s Research Computing Office Hours
    • Mondays 10:00 AM to 12:00 PM: Zoom
    • Thursdays 10:00 AM to 12:00 PM: Zoom
  • CCTS Biostatistics, Epidemiology & Research Design (BERD) Consultations
    • One-on-One Biostatistics Design Consultation via BERD Clinics and individual appointments (in-person or virtually).
    • In-person consultations take place in the Shelby Biomedical Research Building (1st floor) on Wednesdays 11:30 am - 1 pm and Fridays 8:30 am - 11:30 am

Community Channels

  • Join the UAB Labs Slack and search for the #datascience channel and #informatics-club channel
    • These are great places to ask questions and stay updated on opportunities.

Courses, Workshops, and Webinars

U-BDS offers bi to tri-annual workshops which cover the fundamentals of programming (R, Python, Unix, git).

Upcoming U-BDS Workshops

Title Dates Description Location Register Website
Software Carpentry: Git, Unix, Python July 9–10, 2025 Hands-on workshop teaching core reproducible research skills Algen Register Website

Webinars

View some recorded webinars on the Informatics Club’s YouTube channel: https://www.youtube.com/@informatics_club_uab

External Resources

The Carpentries

The Carpentries is a 501(c)3 non-profit organization dedicated to educating researchers on software and data skills. Using inclusive and accessibly best practices, they build, maintaint and promote high-quality instructional material for a range of software and data-oriented concepts.

Courses, Guides, Tutorials, Webinars, and Workshops

Journal Articles

Books

R

  • R for Data Science (2e): This book will teach you how to do data science with R.
  • Applied Data Skills: This book teaches the essential skills to clean, process, summarize, and visualize data using R, while creating dynamic reports and presentations that update automatically.

Python

  • Python Data Science Handbook: This book will teach you how to do data science with Python.
  • Mastering Python for Bioinformatics: This practical guide shows postdoc bioinformatics professionals and students how to exploit the best parts of Python to solve problems in biology while creating documented, tested, reproducible software.