BIOINFORMATICS FOR BIOLOGISTS
Become familiar with bioinformatics theory and principles. Provides real-world experience that can be applied to your own work. Provides a foundation of knowledge that can be used to critically evaluate existing bioinformatics tools that can be used in your work, and in the absence of an appropriate tool, identify the analyses that demand the development of novel tools.
Prerequisites & course information
Requisites: Consent of instructor Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Spring 2026 Learning Outcomes: 1. Identify the appropriate analysis tools for common bioinformatics problems, format data, execute the analysis, and adjust necessary parameters. Audience: Graduate 2. Interpret results of common bioinformatic analysis including their own results as well as the published works of others. Audience: Graduate 3. Demonstrate competence in bioinformatic analysis by conducting an original analysis of primary data from their own lab or publicly available databases. Audience: Graduate 4. Understand the assumptions and principles of bioinformatic pipelines and their implications for validity and statistical significance. Audience: Graduate Learning Outcomes: 1. Identify the appropriate analysis tools for common bioinformatics problems, format data, execute the analysis, and adjust necessary parameters. Audience: Graduate 2. Interpret results of common bioinformatic analysis including their own results as well as the published works of others. Audience: Graduate 3. Demonstrate competence in bioinformatic analysis by conducting an original analysis of primary data from their own lab or publicly available databases. Audience: Graduate 4. Understand the assumptions and principles of bioinformatic pipelines and their implications for validity and statistical significance. Audience: Graduate
Sources
- Course catalogue ↗2026-2027