ADVANCED BIOINFORMATICS

Prerequisites & course information

Requisites: Graduate/professional standing Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Spring 2026 Learning Outcomes: 1. Select and implement appropriate algorithms and probabilistic models for analyzing genomes, RNA, proteins, and biological networks Audience: Graduate 2. Write a manuscript describing a bioinformatics research study, including the motivation for the research, the scientific outcomes, and the detailed methods required to reproduce the study Audience: Graduate 3. Read a bioinformatics research paper to identify the key computational techniques and assess the evidence supporting the paper's claims Audience: Graduate 4. Identify emerging biological data types and data processing (e.g., single cell biology) and how the data can contribute to their research Audience: Graduate Learning Outcomes: 1. Select and implement appropriate algorithms and probabilistic models for analyzing genomes, RNA, proteins, and biological networks Audience: Graduate 2. Write a manuscript describing a bioinformatics research study, including the motivation for the research, the scientific outcomes, and the detailed methods required to reproduce the study Audience: Graduate 3. Read a bioinformatics research paper to identify the key computational techniques and assess the evidence supporting the paper's claims Audience: Graduate 4. Identify emerging biological data types and data processing (e.g., single cell biology) and how the data can contribute to their research Audience: Graduate