Loading...

Course Description

The gene expression programs that instantiate eukaryotic cell states are complex and dynamic, but ultimately essential to understanding development, homeostasis, real-time environmental adaptation and cellular dysregulation. This course will aim to equip you with a broad range of tools for analyzing gene expression and elucidating the regulatory influences affecting it. By the end, students will have an appreciation for the many layers of expression regulation and a familiarity with common methods for analyzing gene expression and its regulation that will enable interpretation of such results in the literature and the ability to choose the right tool for answering their own gene expression-related research questions in the future.

Learner Outcomes

When you complete the course successfully, you will be able to:

  • Give a broad description and explanation for the many layers of regulation influencing gene expression
  • Interpret common gene expression analysis methods and know how to choose the right one for the job
  • Cluster gene expression profiles and perform differential gene expression analyses
  • Find genomic regulatory elements that may influence a gene’s expression
  • Appreciate gene expression in the context of functional pathways and dynamic gene regulatory networks/programs

Microcredential(s):

This course applies toward the Bioinformatics Endeavor digital badge.

Textbook Information

There is no textbook for purchase required for this course.

Prerequisites

At least an undergraduate level course in molecular biology or molecular genetics is required. Basic computer programming experience would also be helpful, though not strictly required. R will be used for multiple analyses in a very guided way. If you have not used R previously, experience with Python or some other languages will be helpful.

Refund
Follow the link to review FAES Tuition Refund Policy.

Funding Justification Guide

Some labs and institutes may have specific funds set aside for trainees to continue their education and professional development. FAES has created a guide intended to help trainees request funds that may be available and, if they are available, request use of the training funds for continued professional development. More details

Loading...
To Register Click on "Add to Cart"
Section Title
Gene Expression Analysis
Type
Online Asynchronous
Dates
Aug 28, 2024 to Oct 15, 2024
Total Cost (Includes $75 non-refundable technology fee per course when applicable)
Eligible Discounts Can Be Applied at Checkout (2 Credits) $775.00
Potential Discount(s)
Available for Academic Credit
2 Credit(s)
Instructor(s)
Required fields are indicated by .