Discoveries of the genomes of literally thousands of organisms inhabiting this planet have facilitated renewed emphasis on the study of life and its meaning in the social sciences and humanities as well as in the life sciences. For every individual, experiencing and living the implications of such scientific discoveries depends on understanding the social and personal complexity embedded within the many contexts and filters applied to genomic information – in research labs, computer science and data management, quantitative biology, ethics debates dealing with emerging technological capabilities, genome databases, social interactions, and policy deliberations. The goal of this cluster is to introduce and explore areas of genome research and analysis. Specifically, students will explore the computational, environmental, microbial, and ethical issues, respectively In the courses, students will devote significant time to reading and discussing the primary scientific literature, as well as interacting via small group activities, including computer programming and journal club-style presentations. This cluster is designed for students with widely varied interests to potential STEM majors who want to incorporate basic science, biomedical, computational sciences, and ethical/societal implications into their future academic and career plan.
Susanne Haga, Associate Professor at Duke University School of Medicine, Center for Applied Genomics and Precision Medicine
This course will examine the ethical implications raised by genetic and genomic research. Students will gain an understanding of historical basis of human subjects protections in the U.S., the ethical pillars of research, and the issues that arise from genetics and genomics research. Case studies in genomics research will be used to illustrate various ethical implications. Reading will consist of review papers of the history of human subjects protections, federal regulations of human subjects protections, actual informed consent documents, and scientific papers from the primary scientific literature to illustrate the nature of modern research in this field. Open only to students in the FOCUS program.
Francois Lutzoni, Professor of Biology
Symbiotic interactions are the norm rather than the exception in the natural world, yet species are usually seen and studied independently from each other. Here we explore the symbiotic connectivity among microbes and their hosts, ranging from parasitism to mutualism, by addressing questions at the junction of evolutionary biology, ecology, and genomics. Multidisciplinary research on microbiome model systems often translate to major medical advancements. One main goal of this course is for students to experience how scientists do, and think about, research. Readings will focus on primary research articles.
David N. Beratan, R.J. Reynolds Distinguished Professor of Chemistry
Jonathan Schultz, Postdoctoral Fellow, Chemistry
In this Focus course, we will explore how the macroscopic world emerges from the quirky nature of the microscopic realm. We will employ a bottom-up approach to learn how both natural (i.e. photosynthesis, enzymatic activity) and artificial (i.e. energy harvesting, quantum computers) technologies rely on properties on the molecular level. Through group discussions, research projects, and debates, we will collaboratively engage with topics and critically assess fundamental questions that have continued to baffle humanity for over a century. This concept- and idea-based course is inclusive of students from all backgrounds and prior educational experiences. Students are not expected to major in chemistry (or even STEM), but rather they should have an interest in how the universe works and how the microscopic realm can have nearly unimaginable impacts on the macroscopic world.
Paul Magwene, Associate Professor of Biology
This course will provide an introduction to key concepts of the genome sciences, using tools and concepts from computational biology and bioinformatics. Topics to be covered include genome structure, function, variation, and evolution. Students will learn to how apply basic computational and statistical methods for describing and quantifying various aspects of genome biology and will apply these tools to real world data. No prior programming or statistical experience is required. Open only to students in the FOCUS program.