1 - 9 of 9 results for: BIOS

Usher in the golden age of biological discovery with next generation sequencing (NGS) through its wide spectrum of applications. Modules include general introduction of Next Generation Sequencing (NGS) technologies, applications of these sequencing technologies, caveats and comparisons with previous approaches, analysis and interpretation of sequencing data, principles of tools and resources and practical ways to utilize them, and features and pitfalls. Prerequisite: background in molecular biology.

Topics include: basics of R (widely used, open-source programming and data analysis environment) programming language and data structures, reading/writing files, graphics tools for figure generation, basic statistical and regression operations, survey of relevant R library packages. Interactive format combining lectures and computer lab. For course and enrollment information, see http://bios205.stanford.edu.

Presents emerging therapies based on stem cell by the scientists leading these pioneering efforts, including academic and industry-based groups. Provides hands-on instruction in laboratory methods valuable in development of stem cell therapies.

Work toward solving a high-resolution 3D structure from unprocessed NMR data acquired on a small well-characterized protein. Short lectures followed by hands-on computer exercises demonstrate best practices for data processing, spectra interpretation, and structure calculation with attention to troubleshooting and validation methods. Students should be familiar with fundamental concepts of protein structure and NMR spectroscopy and comfortable with the command-line environment. Prerequisite: SBIO242/ BIOPHYS 242 strongly recommended, but not required.

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.

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.