Spring 2026 Workshops
Workshop 4: Welcome to Pete!
February 25th (2:30 - 4:30 PM)
Instructor: Dr. Chelsea L Murphy
Style: Hybrid
Style: Hybrid
Location: Digital Scholarship Center
Prerequisite: None. Having access to an account on Pete is highly recommended.
Duration: 2 hours
Cost: Free. Open to all OSU students, faculty and researchers.
Registration: Open; Closes Feb. 24 @ noon
Prerequisite: None. Having access to an account on Pete is highly recommended.
Duration: 2 hours
Cost: Free. Open to all OSU students, faculty and researchers.
Registration: Open; Closes Feb. 24 @ noon
Perfect for new users or anyone looking to brush up their skills! Learn the basics of using OSU's supercomputer, 'Pete', including: connecting and logging in, navigation, file transfers, utilizing modules, and submitting jobs. We will also discuss the rules and policies of Pete as well as Pete/Linux tips and tricks.
Members of the HPCC Operations team will also be present to answer any questions you have!
Workshop 5: Introduction to Machine Learning for Research
March 26th (2:00 - 5:00 PM)
Instructor: Dr. Chelsea L Murphy
Style: Hybrid
Style: Hybrid
Location: Digital Scholarship Center
Prerequisite: For the hands on section, familiarity with the command line and Python is recommended. No prior experience is required for theory portion.
Duration: 3 hours
Cost: Free. Open to all OSU students, faculty and researchers.
Registration: Open; closes Mar. 25 @ noon
Prerequisite: For the hands on section, familiarity with the command line and Python is recommended. No prior experience is required for theory portion.
Duration: 3 hours
Cost: Free. Open to all OSU students, faculty and researchers.
Registration: Open; closes Mar. 25 @ noon
This workshop will introduce the terminology and concepts of machine learning, including random forests, gradient boosting classifiers, and neural networks, and how they can be applied to research. In addition to theory, participants will be able to work with a sample dataset to have a more practical understanding of how to implement simple machine learning strategies and apply them to their own datasets. This workshop will focus on implementation in Python using sci-kit.
Workshop 6: Advanced Bioinformatics: RNA-seq
April 13th (2:30 - 5:00 PM)
Instructor: Dr. Fares Z. Najar
Style: Hybrid
Location: Digital Scholarship Center
Prerequisite: Familiarity with basic Linux commands and R
Duration: 2.5 hours
Cost: Free. Open to all OSU students, faculty and researchers.
Registration: Open; closes Apr. 10 @ noon
Style: Hybrid
Location: Digital Scholarship Center
Prerequisite: Familiarity with basic Linux commands and R
Duration: 2.5 hours
Cost: Free. Open to all OSU students, faculty and researchers.
Registration: Open; closes Apr. 10 @ noon
The advancement of sequencing technology and its affordability have enabled the exploration of gene expression in different organisms and under different conditions. Delving into the transcriptomics via RNA-seq technique allowed us to explore genes regulation and relations with higher resolution than ever before.
This advanced hands-on workshop aims to cover the Bioinformatics aspects of transcriptomics research using the Linux platform.
It is expected that you have familiarity in Linux basic commands and in “R”.
It is expected that you have familiarity in Linux basic commands and in “R”.
For questions, please email director-hpcc@okstate.edu.