Pharmacogenomics - featuring Dr. Chris Farrell

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  • Regular price $225.00

The Praxis Pharmacogenomics journey (featuring Dr. Chris Farrell) leverages AI-powered curation, hands-on data-intensive compute environments (Praxis Cloud), video assessment, quizzes, and expert mentoring (featuring Discord) to teach students how to use bioinformatics workflows to solve today’s toughest pharmacogenomics problems.

The online program is available 24x7x365 via any web browser or mobile device and includes six (6) Learning Paths, twenty-one (21) Skills, and over seventy-five (75) hours of learning material.

Learner Experience

Each Skill includes curated resources and assignments that involve the following:

  • WATCH (Videos)
  • READ (Guides/Articles)
  • DISCUSS (Concepts with others via Discord)
  • GEN AI (Research, answers, and coding with generative AI assistant "Pria")
  • DO (Virtual Labs with live access to software applications)
  • REVIEW (Quizzes reinforce concepts and demonstrate mastery)
  • MENTOR (AI-powered mentoring built in to every screen)

 

Learning Journey Overview

The Praxis Pharmacogenomics Learning Journey contains six (6) Learning Paths. Each Path is a collection of Skills

  1. Introduction to Pharmacogenomics
  2. Applied Pharmacogenomics and Disease
  3. Sequence Alignment
  4. RNA Expression Analysis
  5. Current Methods and Future of Precision Medicine
  6. Wrap-up

Bioinformatics is a dynamic scientific discipline that utilizes computational and statistical methods for solving biological problems. A major theme in bioinformatics is to integrate and understand biological data generated by genome sequencing projects and other high-throughput molecular biology efforts. Bioinformatics tools are developed to reveal fundamental mechanisms underlying the structure and function of macromolecules, biochemical pathways, disease processes, and genome evolution.

By the end of this course, you will be able to:

  1. Describe how bioinformatics relates to pharmacogenomics
  2. Explain the basic concepts of DNA, RNA, and protein structures. 
  3. Perform pairwise and multiple sequence alignments.
  4. Search multiple databases related to pharmacogenomics
  5. Perform RNA expression and protein analysis
  6. Design and analyze primers.