Description
Advancements in high-throughput sequencing technologies have rapidly transformed the life sciences, creating a growing demand for professionals skilled in analyzing and interpreting genomic and transcriptomic data. Students explore essential computational tools for bioinformatics and apply them to real-world data analysis. They use R and RStudio to analyze genomics data, manage collaborative coding through Git and GitHub, and run bioinformatics software with Bash, conda, and Docker. Students also connect to Linux-based, high-performance computing systems, gaining practical skills for omics research and data-driven discovery.

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