Researchers and their teams may be interested in engaging various freely available, online, and in-person training resources that we describe below.
UAB Events & Resources
- Presents late-breaking computational techniques, tools and applications. Includes genomics, other omics, and some areas of informatics, such as precision medicine, natural language processing and image processing. Spans clinical informatics and bioinformatics so should have greater crossover appeal.
- See https://www.uab.edu/medicine/informatics/education/biomedical-informatics-powertalk-series for more information.
Accessing clinical data for research with i2b2 can help investigators determine study feasibility (sample cohort size), identify potential participants for recruitment, perform simple data analyses of de-identified patient data, and explore hypotheses for clinical studies/trials.
See https://www.uab.edu/ccts/research-commons/informatics/trainings/i2b2-training for more information.
Research Computing’s Monthly HPC Training Offerings
- Sign up to hpc-announce mailing list to receive training announcements at https://docs.uabgrid.uab.edu/wiki/Cheaha#Support.
- Past topics have included fundamentals training, like “Git basics and parallel programming scripts“, “Migrating data to/from Cheaha“, and “Virtual environments for Python and Anaconda“, as well as data science-specific training, like “Using XGBoost in Python“.
- For online, video-based courses and learning paths, see https://www.linkedin.com/learning.
- Log in with your UAB blazerid.
- Search for topics like “git“, “jupyter“, “data science“, “machine learning“, and more.
Other Online Resources
- For newcomers to git and version control, see https://www.atlassian.com/git/tutorials/what-is-version-control.
- For teams interested in selecting an appropriate git workflow, see https://www.atlassian.com/git/tutorials/comparing-workflows.
- For newcomers to Jupyter, see https://www.dataquest.io/blog/jupyter-notebook-tutorial/.
- For documentation on older, ssh-tunnel based Jupyter on Cheaha, see Quick Start at https://wiki.genome.uab.edu/x/GqQe.
- For teams interested in Globus Data Sharing, see https://docs.globus.org/how-to/share-files/.