330.990.11
Computer Lab: Epigenetic Data in Public Health Research

Discontinued

Location
East Baltimore
Term
Summer Institute
Department
Mental Health
Credit(s)
1
Academic Year
2023 - 2024
Instruction Method
In-person
Auditors Allowed
No
Available to Undergraduate
No
Grading Restriction
Pass/Fail
Course Instructor(s)
Peter Zandi
Brion Maher
Christine Ladd-Acosta
Course Instructor(s)
Andrew Jaffe
Contact Name
Brion Maher
Frequency Schedule
One Year Only
Prerequisite

Applications and Analysis of Epigenetic Data in Public Health Research (330.690.11)

Description
This course will describe the rationale for inclusion of epigenetic measurement in public health research. It will then describe molecular measurement options, design choices, and analytic approaches to such data in the study of environmental and genetic epidemiology.
Focuses on hands-on computer lab experience analyzing epigenetics data using quality control and statistical association analyses presented in the course, 330.690 Applications and Analysis of Epigenetic Data in Public Health Research. Explores and examines real and simulated data which will be used to demonstrate software that will implement particular programs. Examines software applications with primary use with the R statistical environment and packages in BioConductor.
Learning Objectives
Upon successfully completing this course, students will be able to:
  1. Import epigenetic measurement data for use in public health research
  2. Perform quality control and quality assessment on epigenetics data
  3. Perform association analyses on epigenetics data, for both genome-scale and candidate region analyses
Methods of Assessment
This course is evaluated as follows:
  • 20% Lab Assignments
  • 40% Quizzes
  • 40% Final Project
Instructor Consent
No consent required
Special Comments

The course will move to a virtual format in two one half day sessions using Zoom. This course is an optional lab component for 330.690.11 Applications and Analysis of Epigenetic Data in Public Health Research.