Visualizing Omics

Visualization of complex omics datasets requires innovative, effective approaches informed by partners in the life sciences bioeconomy. Students learn to prepare sequence and annotation data, create advanced heatmaps, volcano and MA plots, and overlays of dimensionality-reduction methods such as principal component analysis and uniform manifold approximation and projection. They construct interaction and co-expression networks, apply community detection and layout principles, and produce clear, publication-ready figures and interactive artifacts. Emphasis is placed on reproducible workflows, color-safe design, rigorous labeling and captions, and alignment to real biological questions.

Registration in this course is restricted to students admitted to the Data Visualization in Biological Sciences program.

Prerequisite(s): An "S" grade in BINF 3015.