Leverages AI-powered curation, expert mentoring, and live data-intensive compute environments to teach students how to use bioinformatics workflows to solve today’s toughest genomics problems.

Using Computational Environments

The computational biology journey begins with four (4) skills covering the foundations of computational environments – including the Linux Command Line and Jupyter Notebooks.

Skills: 4
Resources: AI-content, Videos, Quizzes
Experiential: Hands-on Labs
Social: Discussion, Mentoring

Programming with Python

The computational biology journey continues with four (4) skills introducing the ins-and-outs of Python Programming and how coding can benefit biological case studies.

Skills: 4
Resources: AI-content, Case Studies, Quizzes
Experiential: Hands-on Labs
Social: Discussion, Mentoring

Linux for Computational Biology

The computational biology journey continues with four (4) skills covering the best practices for Linux command line management in Genomics workflows – specifically working with data systems and scripting large datasets.

Skills: 4
Resources: AI-content, Case Studies, Quizzes
Experiential: Hands-on Labs
Social: Discussion, Mentoring

Applied Computational Biology

The computational biology journey finishes with six (6) skills introducing the ins-and-outs of Python Programming and how coding can benefit biological case studies.

Skills: 4
Resources: AI-content, Videos, Quizzes
Experiential: Hands-on Labs
Social: Discussion, Mentoring

WATCH | Videos

READ | Guides & Articles

DO | Hands-on Labs

SOCIAL | Collaboration with Peers and Mentors

REVIEW | Quizzes and Feedback

Computational Biology Walk-through