1.00 Credits
This is the laboratory component to supplement the advanced bioinformatics lecture. 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. This course infuses current research and will build upon computational and biological concepts introduced in foundational courses in order to build skills useful in analysis of large data sets. Topics will include amino acid and protein function prediction from sequence, protein structure, function, interaction, and comparative modeling, DNA and RNA array analysis, mining gene expression data, and use of public databases and internet technologies in bioinformatics. Lab will be a computer laboratory utilizing many databases and data analysis programs (which may include NCBI, UCSC genome browser, UniProt, GenBank, 1000 genomes, The Cancer Genome Atlas, HapMap, R, cBioPortal, and Tetra).