BINF
4005
Omics Workflow Essentials
Lecture Hours
4.0
Seminar Hours
0.0
Lab Hours
8.0
Credits
1.0
Regular Studies
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.
Registration in this course is restricted to students admitted to the Genomics and Transcriptomics Applications program.