BIOC6246, GW:
Advanced Genomics Data Analysis: From Bulk to Single Cell Sequencing.
Decode the genome, one cell at a time.
This advanced, hands-on course provides comprehensive training in the analysis of high-throughput genomic data, spanning bulk sequencing and single-cell technologies. Students will learn to design and execute end-to-end analytical workflows-- from raw data pre-processing to biological interpretation-- through a combination of interactive tutorials, real-world datasets, and applied projects.
The course emphasizes practical skill-building in a command-line Linux environment, statistical computing in R, and scalable workflows on high-performance computing (HPC) systems. Students will work directly with large, complex datasets to explore gene expression, cell states, variant detection, and data integration—anchored in research applications such as cancer genomics. The course culminates in a capstone project, where students apply their skills to analyze real-world datasets and present biologically meaningful insights.
Why Take This Course ?
- Analyze real datasets from bulk and single-cell experiments
- Interpret biological patterns across cell types, tissues, and disease states
- Learn reproducible, scalable approaches for research, clinical, or biotech settings
- Build practical fluency in genomic data analysis using R, Linux, and HPC workflows
- Complete a capstone project applying genomic analysis to cancer research