3.00 Credits
Students will study and use methods and software tools for visualizing and understanding biological data by using computer science and statistics to analyze and interpret biological data. The course will focus on methods of analyzing data in the fields of genomics and proteomics, as well as, an introductory examination of metabolomics data. Topics will include analysis of data from next-generation sequencing technologies, microarrays, mass spectrometry, clustering, and networks/causative models. Current software packages will be utilized (which will be updated frequently and may include NCBI, UCSC genome browser, UniProt, GenBank, 1000 genomes, The Cancer Genome Atlas, HapMap, R, cBioPortal, Tetrad). This course infuses current research by discussing recent published data in genomics and proteomics.