1 - 10 of 22 results for: BIOS

Open to first year graduate students in the Biosciences, or Stem Cell Biology, only. Multidisciplinary class that develops fundamental concepts in modern biosciences research and teaches how to solve cutting edge research questions in a variety of sub-disciplines. Concepts are introduced through didactic instruction, expanded in small group discussions of original papers, and used as the basis for identifying important research questions. Basic and higher order topics, including evolution, networks, and information in biology are covered. Course develops critical skills in research design, critical interpretation of the literature, hypothesis testing and quantitative analysis. Modes of scientific communication and teamwork taught. No prerequisites.

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.

Enrollment limited to graduate students in the School of Medicine; undergraduates may enroll with instructor consent. Introduces students to theory and practice of in vitro CNS electrophysiology. Lectures cover basic electrical and electrode theory, hippocampal anatomy, interpretation of these potentials, common pitfalls and misinterpretations, design of experiments using field potentials and other related topics. Practicum is hands on training in obtaining, recording and interpreting field potentials from in vitro hippocampal slices. Students develop skills in data collection, analysis and evaluation, art and design of electrophysiological studies of the brain.

Theory and application of atomistic simulations needed to model and understand systems of biological relevance (proteins, DNA, small molecule therapeutic drug properties) for beginners. Topics: molecular interactions and classical force fields, first principles energy approaches, molecular dynamics, rare event and transition-state finding techniques, protein folding, and solvation methods. Hands-on tutorials based on key topics in biochemical simulation that use variety of state-of-the-art software packages on both standard and new, advanced graphical processing unit hardware for simulation and analysis ofnnbiochemical properties. Prerequisites: Some knowledge of quantum mechanics, biochemistry, and shell scripting (BASH or python) preferred.

Basics of ordinary differential equation modeling of signal transduction motifs, small circuits of regulatory proteins and genes that serve as building blocks of complex regulatory circuits. Morning session covers numerical modeling experiments. Afternoon session explores theory underpinning that day's modeling session. Modeling done using Mathematica, Standard Edition provided to enrolled students.

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. Open to graduate students in biomedical sciences with permission of instructor.

Week 1 encompasses "Human Pluripotent Stem Cell Laboratory Course." Hands-on teaching of culture of human embryonic stem cells and generation of induced pluripotent stem cells (iPSC), supporting lecture material, lecture and lab daily. Weeks 2 and 3 comprise lectures presented by scientists leading these projects, including at least one biotechnology company. Associated lab sessions focus on muscular dystrophy project, illustrating genetic engineering, differentiation, engrafment, and imaging of stem cells. Several speaker dinners with student participation. Week 1 only, 1 unit; weeks 2 and 3 lecture only, 1 unit; weeks 2 and 3 lecture and lab, 2 units; whole course, 3 units.

Interdisciplinary analysis from basic biochemistry and biophysics to clinical outcomes of disease states and potential therapeutic interventions. Focus on cardiac system. Single molecule biophysics and classical enzyme kinetics and use of induced pluripotent stem (iPS) cells and single cell studies lay foundation for discussions of effects of cardiomyopathy mutations on heart function. Analytical approaches discussed include genetic analysis, reconstitution of functional assemblies, x-ray diffraction, 3D reconstruction of electron microscope images, spectroscopic methods, computational approaches, single molecule biophysics, use of induced pluripotent stem cells in research.

Concepts, workflow, and methodology of macromolecular structure modeling presented through introductory lectures followed by hands-on computer exercises with Rosetta software package. Array of problem types demonstrate how to formulate well-defined hypotheses and interpret variety of experimental data in addition to designing and engineering structure, function, and interactions. Students present independent investigations on appropriate systems selected from current literature or own research. Familiarity with command-line interface scripting recommended; contact instructors if unsure about computational skills level. Prerequisite: introductory courses in biochemistry, biophysics, structural biology, and/or bioengineering.