2011-2012 2012-2013 2013-2014 2014-2015 2015-2016
Browse
by subject...
    Schedule
view...
 

1 - 10 of 26 results for: GENE ; Currently searching spring courses. You can expand your search to include all quarters

GENE 199: Undergraduate Research

Students undertake investigations sponsored by individual faculty members. Prerequisite: consent of instructor.
Terms: Aut, Win, Spr, Sum | Units: 1-18 | Repeatable for credit | Grading: Letter or Credit/No Credit
Instructors: Altman, R. (PI) ; Ashley, E. (PI) ; Attardi, L. (PI) ; Baker, J. (PI) ; Barna, M. (PI) ; Bassik, M. (PI) ; Bhatt, A. (PI) ; Brunet, A. (PI) ; Bustamante, C. (PI) ; Calos, M. (PI) ; Cherry, J. (PI) ; Cohen, S. (PI) ; Curtis, C. (PI) ; Davis, R. (PI) ; Fire, A. (PI) ; Ford, J. (PI) ; Fordyce, P. (PI) ; Francke, U. (PI) ; Frydman, J. (PI) ; Fuller, M. (PI) ; Gitler, A. (PI) ; Greely, H. (PI) ; Greenleaf, W. (PI) ; Hanson-Kahn, A. (PI) ; Herzenberg, L. (PI) ; Herzenberg, L. (PI) ; Kay, M. (PI) ; Kim, S. (PI) ; Kirkegaard, K. (PI) ; Kundaje, A. (PI) ; Li, J. (PI) ; Lipsick, J. (PI) ; Montgomery, S. (PI) ; Nakauchi, H. (PI) ; Ormond, K. (PI) ; Pringle, J. (PI) ; Pritchard, J. (PI) ; Sage, J. (PI) ; Sherlock, G. (PI) ; Sidow, A. (PI) ; Snyder, M. (PI) ; Stearns, T. (PI) ; Steinmetz, L. (PI) ; Tang, H. (PI) ; Urban, A. (PI) ; Villeneuve, A. (PI) ; Vollrath, D. (PI) ; Winslow, M. (PI)

GENE 212: Introduction to Biomedical Informatics Research Methodology (BIOE 212, BIOMEDIN 212, CS 272)

Terms: Spr | Units: 3 | Grading: Medical Option (Med-Ltr-CR/NC)
Instructors: Altman, R. (PI)

GENE 215: Frontiers in Biological Research (BIOC 215, DBIO 215)

Students analyze cutting edge science, develop a logical framework for evaluating evidence and models, and enhance their ability to design original research through exposure to experimental tools and strategies. The class runs in parallel with the Frontiers in Biological Research seminar series. Students and faculty meet on the Tuesday preceding each seminar to discuss a landmark paper in the speaker's field of research. Following the Wednesday seminar, students meet briefly with the speaker for a free-range discussion which can include insights into the speakers' paths into science and how they pick scientific problems.
Terms: Aut, Win, Spr | Units: 1 | Repeatable for credit | Grading: Medical Satisfactory/No Credit

GENE 216: Practical Considerations and Industry Perspective on Academic-Industry Collaborations

Provides an overview, fundamentals and practical considerations for different aspects of academic-industry collaborations by inviting current industrial experts to share their views and to answer questions. The different aspects include collaboration models, proposal building, IP right sharing, funding opportunities, sabbatical and internship in industry, industry job searching, etc. This class also serves as a platform to connect with Bay Area biotech and pharmaceutical executives and experts.
Terms: Spr | Units: 1 | Grading: Medical Option (Med-Ltr-CR/NC)
Instructors: Duan, D. (PI)

GENE 221: Current Issues in Aging

Current research literature on genetic mechanisms of aging in animals and human beings. Topics include: mitochondria mutations, insulin-like signaling, sirtuins, aging in flies and worms, stem cells, human progeria, and centenarian studies. Prerequisite: GENE 203, 205 or BIOS 200.
Terms: Spr | Units: 2 | Grading: Medical Option (Med-Ltr-CR/NC)

GENE 232: Advanced Imaging Lab in Biophysics (APPPHYS 232, BIO 132, BIO 232, BIOPHYS 232)

Laboratory and lectures. Advanced microscopy and imaging, emphasizing hands-on experience with state-of-the-art techniques. Students construct and operate working apparatus. Topics include microscope optics, Koehler illumination, contrast-generating mechanisms (bright/dark field, fluorescence, phase contrast, differential interference contrast), and resolution limits. Laboratory topics vary by year, but include single-molecule fluorescence, fluorescence resonance energy transfer, confocal microscopy, two-photon microscopy, microendoscopy, and optical trapping. Limited enrollment. Recommended: basic physics, Biology core or equivalent, and consent of instructor.
Terms: Spr | Units: 4 | Grading: Medical Option (Med-Ltr-CR/NC)

GENE 235: C. Elegans Genetics

Genetic approaches to C. elegans, practice in designing experiments and demonstrations of its growth and anatomy. Probable topics include: growth and genetics, genome map and sequence, mutant screens that start with a desired phenotype, reverse genetics and RNAi screens, genetic duplications, uses of null phenotype non-null alleles, genetic interactions and pathway analysis, and embryogenesis and cell lineage. Focus of action, mosaic analysis, and interface with embryological and evolutionary approaches.
Terms: Spr, alternate years, not given next year | Units: 2 | Grading: Medical Option (Med-Ltr-CR/NC)
Instructors: Fire, A. (PI)

GENE 241: Biological Macromolecules (BIOC 241, BIOPHYS 241, SBIO 241)

The physical and chemical basis of macromolecular function. Topics include: forces that stabilize macromolecular structure and their complexes; thermodynamics and statistical mechanics of macromolecular folding, binding, and allostery; diffusional processes; kinetics of enzymatic processes; the relationship of these principles to practical application in experimental design and interpretation. The class emphasizes interactive learning, and is divided equally among lectures, in-class group problem solving, and discussion of current and classical literature. Enrollment limited to 50. Prerequisites: Background in biochemistry and physical chemistry recommended but material available for those with deficiency in these areas; undergraduates with consent of instructor only.
Terms: Spr | Units: 3-5 | Grading: Medical Option (Med-Ltr-CR/NC)

GENE 245: Statistical and Machine Learning Methods for Genomics (BIO 268, BIOMEDIN 245, CS 373, STATS 345)

Introduction to statistical and computational methods for genomics. Sample topics include: expectation maximization, hidden Markov model, Markov chain Monte Carlo, ensemble learning, probabilistic graphical models, kernel methods and other modern machine learning paradigms. Rationales and techniques illustrated with existing implementations used in population genetics, disease association, and functional regulatory genomics studies. Instruction includes lectures and discussion of readings from primary literature. Homework and projects require implementing some of the algorithms and using existing toolkits for analysis of genomic datasets.
Terms: Spr | Units: 3 | Grading: Medical Option (Med-Ltr-CR/NC)
Instructors: Tang, H. (PI)

GENE 260: Supervised Study

Genetics graduate student lab research from first quarter to filing of candidacy. Prerequisite: consent of instructor.
Terms: Aut, Win, Spr, Sum | Units: 1-18 | Repeatable for credit | Grading: Medical Option (Med-Ltr-CR/NC)
Instructors: Altman, R. (PI) ; Ashley, E. (PI) ; Attardi, L. (PI) ; Baker, J. (PI) ; Barna, M. (PI) ; Bassik, M. (PI) ; Bhatt, A. (PI) ; Brunet, A. (PI) ; Bustamante, C. (PI) ; Calos, M. (PI) ; Cherry, J. (PI) ; Cohen, S. (PI) ; Curtis, C. (PI) ; Davis, R. (PI) ; Fire, A. (PI) ; Ford, J. (PI) ; Fordyce, P. (PI) ; Francke, U. (PI) ; Frydman, J. (PI) ; Fuller, M. (PI) ; Gitler, A. (PI) ; Greely, H. (PI) ; Greenleaf, W. (PI) ; Hanson-Kahn, A. (PI) ; Herzenberg, L. (PI) ; Herzenberg, L. (PI) ; Kay, M. (PI) ; Kim, S. (PI) ; Kirkegaard, K. (PI) ; Kundaje, A. (PI) ; Li, J. (PI) ; Lipsick, J. (PI) ; Montgomery, S. (PI) ; Nakauchi, H. (PI) ; Ormond, K. (PI) ; Pringle, J. (PI) ; Pritchard, J. (PI) ; Reijo Pera, R. (PI) ; Sage, J. (PI) ; Sherlock, G. (PI) ; Sidow, A. (PI) ; Snyder, M. (PI) ; Stearns, T. (PI) ; Steinmetz, L. (PI) ; Tang, H. (PI) ; Urban, A. (PI) ; Villeneuve, A. (PI) ; Vollrath, D. (PI) ; Winslow, M. (PI)
Filter Results:
term offered
updating results...
number of units
updating results...
time offered
updating results...
days
updating results...
UG Requirements (GERs)
updating results...
component
updating results...
career
updating results...
© Stanford University | Terms of Use | Copyright Complaints