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1 - 10 of 31 results for: GENE

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

GENE 205: Advanced Genetics

For PhD students in any of the Biosciences Departments and Programs at Stanford University. Emphasis on developing the ability to solve problems using genetic ideas and methods, to understand the nature and reliability of genetic inference, and to apply genetic reasoning to biological research. Weekly paper discussions based on original research papers that define or illustrate the ideas and techniques covered in the lecture.
Terms: Win | Units: 3

GENE 207: Microfluidic Device Laboratory (BIOE 301D)

BIOE 301D is a hands-on laboratory class designed to teach students the basics of microfluidic device design, fabrication, operation, and troubleshooting. During the first week of class, life science and clinical labs across campus will come and `pitch¿ ideas for devices that would advance their own research. Students will then choose projects, form teams, and attempt to create devices to meet these needs via two design/build/test iterations. In the process, students will learn how to design efficient experiments, navigate uncertainty, and communicate with end users and consider their needs. BIOE 301D is an intensive 3-4 unit course that requires significant student effort and enrollment is limited to 20 students due to space constraints within the Microfluidics Foundry. To prioritize students likely to get the most out of the course, we will ask students to fill out a course application form prior to the start of winter quarter; priority will be given to students that need this course as a requirement to graduate.
Terms: Win | Units: 3-4

GENE 211: Genomics

The goal of this course is to explore different genomic approaches and technologies, to learn how they work from a molecular biology view point, and to understand how they can be applied to understanding biological systems. In addition, we teach material on how the data generated from these approaches can be analyzed, from an algorithmic perspective. The papers that are discussed are a mixture of algorithmic papers, and technological papers.
Terms: Win | Units: 3

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 3 times (up to 3 units total)

GENE 219: Current Issues in Genetics

Current Issues in Genetics is an in-house seminar series that meets each Academic Quarter for one hour per week (Friday, 4:00-5:00) and features talks by Genetics Department faculty, students, and postdoctoral fellows (with occasional visiting speakers). Thus, over the year, it provides a comprehensive overview of the work going on in the Department. First-year Ph.D. students in Genetics are required to enroll during all four Quarters, and students from other programs may be permitted to enroll with prior permission of the instructors.
Terms: Aut, Win, Spr, Sum | Units: 1 | Repeatable 12 times (up to 12 units total)

GENE 223: Aging: Science and Technology for Longevity

Is aging another disease that can be ultimately cured? We will look at the biology of aging, transitioning from the molecular level through to the cellular and systems level. What are age-related diseases, can lifespan be extended and are centenarians different? Additionally how can artificial intelligence create robotic and software assistants as we get older and is living forever is possible in any form ? Topics will include: molecular theories of aging, impact of oxidative stress, age-related diseases, artificial intelligence for longevity, and innovations to improve the quality of life as we age.
Terms: Win | Units: 2-3

GENE 224: Principles of Pharmacogenomics (BIOMEDIN 224)

This course is an introduction to pharmacogenomics, including the relevant pharmacology, genomics, experimental methods (sequencing, expression, genotyping), data analysis methods and bioinformatics. The course reviews key gene classes (e.g., cytochromes, transporters) and key drugs (e.g., warfarin, clopidogrel, statins, cancer drugs) in the field. Resources for pharmacogenomics (e.g., PharmGKB, Drugbank, NCBI resources) are reviewed, as well as issues implementing pharmacogenomics testing in the clinical setting. Reading of key papers, including student presentations of this work; problem sets; final project selected with approval of instructor. Prerequisites: two of BIO 41, 42, 43, 44X, 44Y or consent of instructor.
Terms: Aut, Win, Spr, Sum | Units: 3

GENE 230: Genetic Epidemiology (EPI 224)

This course presents fundamental concepts and methods in genetic epidemiology, with examples from genetic studies of common, complex diseases (e.g., cancer). It will provide an overview of various study designs and covers fundamental analyses, inferences, and their strengths and limitations. The course will cover the following topics: assessing genetic influences on disease (e.g., heritability); family- and population-based association study designs; candidate gene and genome-wide association studies of common and rare genetic variants; transcriptome-wide association studies; polygenic risk scores; bias due to population stratification; gene-environment interactions and epistasis; studies of diverse populations; software and web-based data resources; ethical issues in genetic epidemiology; and applications of genetic epidemiology to clinical practice and public health. Guest speakers will discuss these concepts through the lens of various diseases. The course will include a project proposal based on student's research interests. Prerequisite: introductory biostatistics or epidemiology (or by permission of the instructor).
Terms: Win | Units: 3

GENE 242: Genetics of Viral Emergence and Emerging Viruses

This course will cover genetic and complementary approaches toward understanding and mitigating the emergence of new viral epidemics. Topics are: I. Viral Emergence ('Viral life in prebiotic soup', 'emergence in cellular contexts', 'viruses from viruses', 'viruses and their non-viral cousins'), II. Emergent Virology ('tracking the virome', 'genomics of recent viral pandemics', and 'the spectrum of viral malevolence'), and III. The Virome Interface ('environmental influences on viral epidemics', 'viruses, genes, and human behavior', 'big data in the service of controlling epidemics', and 'genetic approaches to viral treatment')
Terms: Win | Units: 2
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