502: Biological Networks

Course Details

Description:This taxon-neutral course prepares students to organize, integrate and analyze complex, multi-scale data that describe biological systems. It provides training, collecting, and processing "omic"-scale data (genomics, transcriptomics, proteomics, metabolomics) into network models, and analyzing these models using current in silico tools to determine biological significance and function of the resulting network interactions. Students will be introduced to Gene Ontology and open source tools for data integration and visualization, including: Cytoscape, Multiple Experiment Viewer, Mapman, and KEGG
Hours:3
Course Offered in Semester(s): Spring
Offered Odd Years Only:true
Additional Notes:Will not be offered in 2018
Course Schedule:See Course Schedule