The online program is available 24x7x365 via any web browser or mobile device and includes five (5) learning paths, twenty-one (21) lessons, and over seventy-five (75) hours of learning material. Below is a list of the main topics:

• Research Computing Skills
• Biomedical Datasets
• Fundamental Genomics Workflows
• Biomarker Discovery
• Publishing Scientific Results

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.

Medical Bioinformatics is performing bioinformatics to understand the human organism.  It can be basic research, clinical research, or translational research.  In this course, we will focus on the basic and applied genomics workflows to understand normal and aberrant human phenotypes. Before students apply these workflows, they will be taught how to use a Linux-based research computing system and understand the formats and locations of open-source biomedical datasets. Students will learn some basic data visualization and publishing techniques. The computational skills taught are dovetail with molecular biology skills.  The skills transferred in this course are highly sought after in the marketplace and will position students to become modern biologists.