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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 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 217: Translational Bioinformatics (BIOE 217, BIOMEDIN 217, CS 275)

Analytic and interpretive methods to optimize the transformation of genetic, genomic, and biological data into diagnostics and therapeutics for medicine. Topics: access and utility of publicly available data sources; types of genome-scale measurements in molecular biology and genomic medicine; linking genome-scale data to clinical data and phenotypes; and new questions in biomedicine using bioinformatics. Case studies. Prerequisites: programming ability at the level of CS 106A and familiarity with statistics and biology.
Terms: Win | Units: 3-4

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 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, epidemiology, and/or genetics (or by permission of the instructor).
Terms: Win | Units: 3

GENE 231: AI for Beginners

How will AI help medicine but how could it harm us. This course will provide a high-level overview of AI techniques. Through pre-built hands-on exercises, we will cover neural networks and their applicability to generative AI and large language models. We will also discuss the societal and ethical issues surrounding the real-world applications of AI. This course is healthare oriented, looking at the intersection of AI and Genetics to analyze advances that could be made but also ethical questions that should be asked. The course is designed to be accessible to many disciplines and there are no pre-requisites.
Terms: Win | Units: 2-3

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

GENE 247: Genomic approaches to the study of human disease (BIO 127, BIO 247)

This course will cover a range of genetic and genomic approaches to studying human phenotypic variation and disease. We will discuss the genetic basis of Mendelian and complex diseases, as well as clinical applications including prenatal testing, and pediatric and cancer diagnostics. The course will include lectures as well as critical reading and discussion of the primary literature. Prerequisite: BIO 82 or equivalent. Open to advanced undergraduate students.
Terms: Win | Units: 3
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