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330.990.11 Computer Lab: Epigenetic Data in Public Health Research


Mental Health
Summer Inst. term
1 credits
Academic Year:
2019 - 2020
East Baltimore
Tue 06/04/2019 - Tue 06/04/2019
Class Times:
  • Tuesday,  8:30am - 4:20pm
Auditors Allowed:
Grading Restriction:
Brion Maher
Course Instructor s:
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.

Offers 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. Real and simulated data will be used to demonstrate software that will implement particular programs. Software applications will primarily use 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:

Lab exercises prior to course 20%; online quiz during course 40%; analysis project due 2 weeks after the course session 40%.

Instructor Consent:

No consent required

Special Comments:

This course is an optional lab component for 330.690.11 Applications and Analysis of Epigenetic Data in Public Health Research.