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Courses

Introduction to Omics in Public Health

June 28 - July 2, 2021
8:30 a.m. - noon
2 credits
Course number: 340.604.11


This summer this course will be taught online via Zoom, on the dates and times listed above. Registered students will attend their classes virtually via Zoom, in real time with faculty and other students.

Course Instructor:

Description:

Are you a quantitative scientist who is curious about how –omics can address public health questions?

- Do you want to have a better understanding of the underlying biology and measurement tools used in genomics, epigenomics, transcriptomics, and metabolomics?

- Do you analyze data and want to understand the process used to generate the data to inform your interpretation of the results or detect potential problems in your dataset?

Introduces quantitative scientists to how “omics” can address public health questions. Reviews basic biology concepts for –omics with a focus on genomics, epigenomics, transcriptomics, and metabolomics. Presents commonly used –omic measurement methods and data preprocessing tools. Discusses challenges that may arise in data analysis due to data measurement issues as well as interpretation of results.

Learning Objectives:

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

  1. Define different types of –omics data including genomics, epigenomics, transcriptomics, and metabolomics

  2. Explain basic molecular biology concepts (e.g. the central dogma) and how different type of molecular data relate to one anothe

  3. Explain common laboratory methods used to generate genomic, epigenomic, transcriptomic, and metabolomic data

  4. Recognize potential biologic and technical sources of measurement problems in their –omics dataset

  5. Describe methods to minimize potential data measurement issues

  6. Explain how –omics addresses public health questions

Methods of Assessment:

  • 20% Quizzes
  • 20% Quizzes
  • 20% Quizzes
  • 20% Quizzes
  • 20% Quizzes