BINF 531 — Statistical Bioinformatics

Underlying concepts and techniques for the analyses of large-scale data sets, generated from "omics" platforms (e.g., metagenomics, metabolomics, transcriptomics, etc.), as well as different approaches for working with high-dimensional data. Students will gain experience in such software packages as R and Bioconductor for statistical analysis and data visualization.

• Credits: 3
• Faculty: Faculty of Agric Environ Sci
• Department: Animal Science
• Prerequisites: AEMA 310 or equivalent; LSCI 204, LSCI 211, LSCI 230, or equivalent