BIOL 507 - Genomics and Bioinformatics

(3cr) Lectures will introduce some of the common techniques and algorithms used in genomic analysis, including sequence alignment, BLAST, gene expression profiling, and prediction of protein structure and gene function. Throughout the course, we will explore how these techniques, and genomic data in general, have been used to explore topics such as evolutionary history, genetic causes of disease, cancer biology, and ecology (metagenomics). Since genomics is a new and rapidly changing field, we will emphasize topics chosen from recent literature, discussing both the scientific and cultural implications of the work.

The computational lab is an essential component of this course. There is no assumption of previous experience beyond knowing how to move files around and use the web, word processors, and spreadsheets. In the first set of labs, students will become comfortable with online databases, sequence alignment, gene expression analysis, and genome-scale data. Students will be expected to complete an independent research project chosen with guidance from the instructor.