Genomics and Sequencing Analysis: Bioinformatics Specialization Badge (5-6 credits)

Overview

This microcredential builds expertise in analyzing high-throughput sequencing data and modern genomics workflows. It focuses on turning raw sequencing output into biologically meaningful insight.

This microcredential is for researchers and analysts working with genomic, transcriptomic, and multi-omics data in basic science, translational research, or clinical genomics. Most of the courses in this pathway require basic coding skills in R or Python. Some may require more advanced skills. 

Requirements

• 5-6 credits from any three of the following courses:
  • BIOF 518 I Theoretical and Applied Bioinformatics: DNA and Proteins
  • BIOF 519 I Theoretical and Applied Bioinformatics: Genomics and Metagenomics
  • BIOF 521 I Bioinformatics for the Analysis of Data Generated by Next Generation Sequencing
  • BIOF 540 I Gene Expression Analysis
  • BIOF 544 I High Resolution Transcriptome Analysis
  • BIOF 549 I Omics and Data Integration
  • BIOF 555 I Foundations for Practical Single Cell RNA-Seq Analyses
  • BIOF 556 I Advanced Topics in Single Cell Analyses
• Students must earn a letter grade of C or above or a “pass” if the course is pass/fail. Audited courses do not qualify toward a digital badge.
• Programming completed in the last 5 calendar years can be applied toward the digital badge.