Intro to Transcriptomics

Advancements in high-throughput sequencing technologies create a growing demand for professionals skilled in analyzing and interpreting transcriptomics data. Students explore the principles and tools of transcriptomics with a focus on RNA sequencing (RNA-seq) data analysis. They perform quality control, align reads, quantify gene expression, and conduct differential expression analysis. Students apply statistical methods, interpret biological significance, and create reproducible workflows using R and Quarto.

Registration in this course is restricted to students admitted to the Genomics and Transcriptomics Applications program.

Prerequisite(s): An "S" grade in BINF 4015.