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Analysis for Environmental Genomics and Epigenomics

East Baltimore
4th term
Environmental Health and Engineering
1 credits
Academic Year:
2021 - 2022
Instruction Method:
Synchronous Online
Class Times:
  • Friday,  5:00 - 6:00pm
Auditors Allowed:
Grading Restriction:
Letter Grade or Pass/Fail
Course Instructor:
Alexandra Maertens

How to use the tools publicly available for genomic and epigenomic data analysis? How to generate key figures from omic analysis?

Emphasizes the analytical methods for genomic and epigenomic data analysis. Presents step-by-step instructions for searching and extracting databases and performing pathway analyses on existing genomic and/or epigenomic data. Acquaints students with ‘omic’ data analysis by participating group project that aims for proving the principle or generating new hypothesis for a selected research topic.

Learning Objectives:

Upon successfully completing this course, students will be able to:

  1. Understand the workflow for omic data analysis
  2. Apply the publicly available tools for the search, access and analysis of genomic data
  3. Apply computational analysis to identify or validate cellular pathways
Methods of Assessment:

This course is evaluated as follows:

  • 40% Participation
  • 60% Group Presentation

Instructor Consent:

Consent required for some students

Consent Note:

Consent required for master's students

For consent, contact: