PHC 6736
Statistical and Computational Analysis of Genomic Data
Focuses on statistical and computational methods/tools for next-generation sequencing data analysis. Topics include introduction and analysis of DNA-seq, RNA-seq, ChIP-seq, ATAC-seq, and single-cell genomics. In addition, the course will illustrate how to use R/Bioconductor R packages to handle common types of genomic data.
Topics
- introduction and analysis of DNA-seq
- RNA-seq
- ChIP-seq
- ATAC-seq
- and single-cell genomics
Topics explicitly listed in official catalogue description
Prerequisites & course information
Grading Scheme: Letter Grade
Sources
- Course catalogue ↗2025-2026
- Catalogue entry ↗
Catalogue variants
- Statistical and Computational Analysis of Genomic Data · 3 Credits