Genomic Data Integration

Advancements in high-throughput sequencing technologies have created a growing demand for professionals skilled in analyzing and interpreting genomic data. Students focus on advanced genomic data analysis and interpretation using R and Bioconductor. They import and visualize genomic data, summarize annotation information, identify variants in coding regions, and analyze their biological implications. Students explore functional genomics, pathway analysis, comparative genomics, and apply statistical methods for variant interpretation. They also generate clear, comprehensive reports to communicate findings effectively.

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

Prerequisite(s): An "S" grade in BINF 4010.