Computational Genomics

Catalog description

The course offers an introduction to basic theories, history of the field, current research areas and clinical applications of genomics including disease diagnosis and risk assessment, genetic counseling, microbiome testing and pharmacogenomics. The impact on personalized medicine and medical products will be highlighted. The course emphasizes the principles underlying the organization of genomes and the methods and approaches of studying them. Methods for understanding concepts such as gene regulation, evolution, complex systems, genetics, and gene: phenotype relationships are covered. Topics explored include sequence alignment, comparative genomics, phylogenetics, sequence analysis, structural genomics, population genetics, and metagenomic analysis. Bioinformatics tools as provided in the BioPython library will be utilized. Pre requisites: BIO 126 and DA231