BIOINFORMATIC INQUIRY

Prerequisites & course information

Requisites: ABT 720 and 730 Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Spring 2026 Learning Outcomes: 1. Implement successful solutions to tasks in bioinformatics using existing software and newly developed code. Audience: Graduate 2. Write R scripts and packages, including formulation of new R classes. Audience: Graduate 3. Create helpful, user-defined classes in Python. Audience: Graduate 4. Implement knowledge of algorithmics to write elegant solutions to bioinformatics tasks. Audience: Graduate 5. Interface with a MySQL database in Python. Audience: Graduate 6. Simulate biological data to use as a null distribution for novel test statistics. Audience: Graduate 7. Decide when machine learning methods are appropriate to a task in bioinformatics. Audience: Graduate 8. Use GitHub to effectively share new software and manage version control. Audience: Graduate 9. Communicate complicated methodology and results to a variety of stakeholders. Audience: Graduate Learning Outcomes: 1. Implement successful solutions to tasks in bioinformatics using existing software and newly developed code. Audience: Graduate 2. Write R scripts and packages, including formulation of new R classes. Audience: Graduate 3. Create helpful, user-defined classes in Python. Audience: Graduate 4. Implement knowledge of algorithmics to write elegant solutions to bioinformatics tasks. Audience: Graduate 5. Interface with a MySQL database in Python. Audience: Graduate 6. Simulate biological data to use as a null distribution for novel test statistics. Audience: Graduate 7. Decide when machine learning methods are appropriate to a task in bioinformatics. Audience: Graduate 8. Use GitHub to effectively share new software and manage version control. Audience: Graduate 9. Communicate complicated methodology and results to a variety of stakeholders. Audience: Graduate