BIO 3350 Bioinformatics
This course serves as an introduction to the field of Bioinformatics. Students will explore and learn computational methods to use for biological data analysis and discovery. Methods included in the course are: sequence homology searching and multiple alignment, phylogeny, gene prediction, protein sequence motif analysis and secondary structure prediction. Specific topics include identification of genes in DNA, gene expression, molecular sequence databases, high throughput sequencing, proteins/protein functional motifs, cellular behaviors of metabolic pathways, and genetic diversity. Course work includes hands-on assignments using the computer, case studies using software, and a final course project. Analysis using R and python programming languages are introduced.
Offered
Spring