Genomics and Transcriptomics Applications
About
Turn lab and Biotech data into meaningful insights employers can use
As labs generate vast amounts of sequencing data, employers are seeking professionals who can turn that data into meaningful insights.
The Genomics and Transcriptomics Applications micro-credential provides hands-on training in essential omics workflows, including genome assembly, and RNA-seq analysis.
Gain relevant and practical skills
Developed with input from BC life-sciences partners, this program emphasizes practical, job-ready skills aligned with regional workforce needs and the BC Life Sciences and Biomanufacturing Strategy.
You’ll work with real datasets and industry-standard tools, learning how to move from raw sequencing data to results that support research, publications, and product development.
- This micro-credential also fits within a broader applied bioinformatics pathway, allowing you to build a flexible, stackable portfolio of in-demand skills.
Who this program is for
This micro-credential is designed for:
Biology, biochemistry, and life-science graduates who want to move into applied bioinformatics and omics data workflows
Research assistants, lab technologists, and graduate students who generate or use NGS data and need to understand how analyses are performed and validated
Professionals in biotech, pharma, or health-tech who work with genomics partners or vendors and want to better interpret and critically evaluate omics results
Recommended Experience
Foundational knowledge in molecular biology and genetics (e.g., genes, transcripts, variants)
Comfort with basic scripting or programming concepts, and a willingness to work in R and command-line environments as part of the coursework
What You’ll Learn
By the end of the program, you will be able to:
Describe and compare key omics technologies (genomics, transcriptomics, and related approaches) and their common applications in research and industry
Use R and command-line tools to manage, explore, and summarize large sequencing datasets in a reproducible way
Run and interpret genome assembly workflows, including quality checks, assembly metrics, and functional annotation
Perform genomic data integration by combining variant, annotation, and metadata to answer biologically meaningful questions
Carry out core transcriptomics analyses, including RNA-seq processing, quantification, differential expression, and interpretation of gene-level patterns
Apply best practices for reproducible omics analyses, including version control (Git/GitHub), workflow documentation, and basic automation
Critically interpret and communicate omics findings, including limitations, sources of bias, and appropriate use in decision-making
Program Structure
Thi program runs in the evenings from March 16 - April 16, 2026
The micro-credential consists of four 1-credit courses (4 credits total), typically taken as a short, tightly integrated package. See the Courses tab for more details.
