11 - 20 of 28 results for: BIOS

Focused look at the promoter/enhancer and related landscape of the human genome. Genomics and epigenomics of human gene regulation - truth, myths and mysteries. Genomic tools for the interpretation of vertebrate gene regulation experiments and predictions, and the insights behind them. Genomic thinking: purity vs. comprehensiveness, genome-wide vs. single locus. Prerequisites: undergraduate Biology or equivalent. Programming skills not required or taught.

Structure and function of viruses focusing on viruses that infect humans. Explore the interaction of humans and viruses from diverse perspectives: historical, cultural, political, demographic, organismal, molecular biological, biochemical, immunological, taxonomic. Emphasis on general principles of biology and matters of decision-making and policy. Selected case studies illustrate course material. Full-time immersive format of lectures, discussions, videos and model building. Recommended for non-virology students.

Application based course in nonparametric statistics. Modern toolbox of visualization and statistical methods for the analysis of data, examples drawn from immunology, microbiology, cancer research and ecology. Methods covered include multivariate methods (PCA and extensions), sparse representations (trees, networks, contingency tables) as well as nonparametric testing (Bootstrap, permutation and Monte Carlo methods). Hands on, use R and cover many Bioconductor packages. Prerequisite: Minimal familiarity with computers. Instructor consent.

Explores concepts in decision making and constructive conflict as a mechanism for desired change via purposeful actions. Students assess personal conflict comfort zones and use case studies and class activities to develop skills with authenticity, active and intentional decision making, and other related topics.

Mini-course. Focus on development of basic skills for quantitative reasoning in biology, including order-of-magnitude estimation and use of the broad spectrum of time scales to enable understanding. Primary examples include going from molecular size and energy scales to functions of single cells and going from mutational and selective processes acting on organisms to evolution of populations on laboratory global scales.

Mini-course. Focuses on framing the major ethical issues, legal issues, normative ethical guidelines and oversight in stem cell research. Includes discussion of religious and ethical debates around the moral status of the human embryo.

Introduction to the social science literature on factors contributing to gender disparities in the scientific workplace (e.g. implicit bias and stereotype threat). Discussions focus on steps that individuals and institutions can take to promote the advancement of women and other underrepresented groups in science, and thus promote the advancement of science.

Mini-course. Covers the fundamentals of major single-molecule manipulation methods (optical tweezers, magnetic tweezers, and atomic force microscopy), principles of force measurement signal and noise, and applications to studies of folding, binding, measurement signal and noise, and applications to studies of folding, binding, polymer elasticity, and structural transitions in proteins and nucleic acids. Intended for students with no previous exposure to single-molecule manipulation or for beginning practitioners. Lectures and discussion of current literature.

Focus on designing and analyzing effective proteomics experiments using mass spectrometry and critically evaluating published mass spectrometry-based studies and datasets. Introduces students to the instrumentation, experimental strategies, and computational methods used for identifying and quantifying proteins and protein post-translational modifications using mass spectrometry. Topics include comparative evaluation of mass spectrometer instrument configurations, tandem mass spectrum interpretation, relative and absolute quantitation, and proteome-scale data set analysis. Laboratory time will focus on sample preparation methods, real-time data acquisition, and data analysis software and techniques.