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1 - 10 of 53 results for: GENE

GENE 19SI: Impact Investing in Neuroscience

The course will feature seminar-style lectures to examine various scenarios of investing for impact, incorporating both social and financial return metrics. Primary focus will be on developing ideas on best practices that will guide efficient allocation of funding in research, and early and later stage ventures for the advancement of the neuroscience sector and its impact on patients worldwide. Students will be able to engage with invited guest speakers, professionals within academia, non-profit and for-profit sectors, and learn about current practices in impact investing.
Terms: Aut, Win | Units: 2

GENE 104Q: Law and the Biosciences

Preference to sophomores. Focus is on human genetics; also assisted reproduction and neuroscience. Topics include forensic use of DNA, genetic testing, genetic discrimination, eugenics, cloning, pre-implantation genetic diagnosis, neuroscientific methods of lie detection, and genetic or neuroscience enhancement. Student presentations on research paper conclusions.
Terms: Win | Units: 3 | UG Reqs: WAY-ER, Writing 2
Instructors: Greely, H. (PI)

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 200: Genetics and Developmental Biology Training Camp (DBIO 200)

Open to first year Department of Genetics and Developmental Biology students, to others with consent of instructors. Introduction to basic manipulations, both experimental and conceptual, in genetics and developmental biology.
Terms: Aut | Units: 1

GENE 202: Human Genetics

Utilizes lectures and small group activities to develop a working knowlege of human genetics as applicable to clinical medicine. Basic principles of inheritance, risk assessment, and population genetics are illustrated using examples drawn from diverse areas of medical genetics practice including prenatal, pediatric, adult and cancer genetics. Practical aspects of molecular and cytogenetic diagnostic methods are emphasized. Existing and emerging treatment strategies for single gene disorders are also covered. Prerequisites: basic genetics. Only available to MD and MOM students.
Terms: Aut | Units: 4

GENE 204: Essentials of Multidimensional Flow Cytometry

Keep pace with automated flow cytometry data analysis via hands-on training. Learn how to design multicolor flow cytometry experiments. Elements of quantitative flow cytometry. Course for all students, staff and faculty. Prerequisite is background in topic.
Terms: Spr | Units: 1 | Repeatable 2 times (up to 2 units total)

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)

This course exposes students to the design, fabrication, and testing of microfluidic devices for biological applications through combination of lectures and hands-on lab sessions. In teams of two, students will produce a working prototype devices designed to address specific design challenges within the biological community using photolithography, soft lithography, and imaging techniques.
Terms: Win | Units: 3-4

GENE 208: Gut Microbiota in Health and Disease (BIOE 221G, MI 221)

Preference to graduate students. Focus is on the human gut microbiota. Students enrolling for 3 units receive instruction on computational approaches to analyze microbiome data and must complete a related project.
Terms: Spr | Units: 2-3

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. Finally, the course has a strong programming component, with Python being the language that we teach. All of our problem sets require Python programming - while beginning programmers succeed in our course, it is a steep learning curve, and the problem sets can require a significant time investment.
Terms: Win | Units: 3
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