The Genetics and Genomics Program offers a unique academic track for students wanting to develop their quantitative and analytical skills in a variety of fields. Students rotate through a minimum of two colleges during their first year, acquiring and developing an interdisciplinary approach to genetic research. At the end of their first year, students have the opportunity to choose their mentor and college in which they would like to pursue further research.
Presentation and critical discussion of relevant topics pertaining to ethics, policy and translation in genetics research. (1 Credit)
This course includes presentations, seminars, and critical discussions of recent original research relating to genetics and genomics. (1 Credit)
Examines genetic principles including gene and gene function; recombination and linkage; molecular markers, multipoint linkage analysis, and positional cloning; and quantitative, population, developmental, and non-Mendelian genetics. (4 Credits)
Introduction to the concepts and methods of biostatistical data analysis. Topics include descriptive statistics, probability, standard probability distributions, sampling distributions, point and confidence interval estimation, hypothesis testing, power and sample size estimation, one- and two-sample parametric and non-parametric methods for analyzing continuous or discrete data, and simple linear regression. SAS statistical software for data management, statistical analysis and power calculations. Required core course for students in biostatistics, environmental health, and epidemiology concentrations. (3 Credits)
Molecular biology of pro- and eukaryotic organisms. Emphasizes understanding the experimental approaches that led to recent developments. Chromosome structure and organization, advances in recombinant DNA technology, DNA replication, RNA transcription and protein synthesis, and selected aspects of molecular regulation of gene expression. (3 Credits)
Principles of genomic characterization and bioinformatic analysis of eukaryotes, including an overview of analytical platforms, computational tools, experimental design, analysis methods and databases used to study DNA sequence, gene expression and protein levels. The course aims at providing an understanding of the principles of genomic analysis of eukaryotes at various levels (DNA, mRNA and protein), and of the bioinformatics methods used for this purpose. (3 Credits)
Presentations, seminars, and critical discussions of recent original research relating to genetics and genomics. (1 Credit)