330.616.01
Data Analysis for Psychiatric Genomics
Location
East Baltimore
Term
4th Term
Department
Mental Health
Credit(s)
1
Academic Year
2025 - 2026
Instruction Method
In-person
Start Date
Wednesday, March 25, 2026
End Date
Wednesday, May 13, 2026
Wednesday, 10:30 - 11:20am
Auditors Allowed
Yes, with instructor consent
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Contact Name
Frequency Schedule
Every Year
Resources
Prerequisite
No prerequisites for this course.
Enrollment Restriction
This course is not restricted.
Are you interested in creating a polygenic score or epigenetic clock for your research study?
Are you curious how to conduct and interpret results from genome-wide analyses?
Ever wonder how we reduce genome-wide data into condensed, interpretable pieces of information?
Acquaints students with various software used for genomic analyses; Illustrates and compares methods to generate polygenic scores and epigenetic clocks; Familiarizes students with analysis and interpretation of high dimensional data; Prepares students to clean and analyze genome-wide data across multiple -omics data types.
Learning Objectives
Upon successfully completing this course, students will be able to:
- Identify the purpose of various software and analysis packages for analyzing different -omics data types
- Clean and prepare different -omics data types for statistical analysis
- Visualize and interpret high-dimensional genomic data using various techniques (e.g., principal components analysis, gene enrichment analysis)
Upon successfully completing this course, students will be able to:
Methods of Assessment
This course is evaluated as follows:
- 75% Participation
- 25% Final Project