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Computer Lab: Epigenetic Data in Public Health Research


East Baltimore
Summer Inst. term
Mental Health
1 credits
Academic Year:
2022 - 2023
Instruction Method:
Synchronous Online
Auditors Allowed:
Grading Restriction:
Course Instructors:
Brion Maher
Frequency Schedule:
One Year Only

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


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.