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1 - 10 of 53 results for: GENE ; Currently searching offered courses. You can also include unoffered courses

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: Aut | 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 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 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 15 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 spring quarter; priority will be given to students that need this course as a requirement to graduate
Terms: Spr | 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 212: Introduction to Biomedical Data Science Research Methodology (BIOE 212, BIOMEDIN 212, CS 272)

Capstone Biomedical Data Science experience. Hands-on software building. Student teams conceive, design, specify, implement, evaluate, and report on a software project in the domain of biomedicine. Creating written proposals, peer review, providing status reports, and preparing final reports. Issues related to research reproducibility. Guest lectures from professional biomedical informatics systems builders on issues related to the process of project management. Software engineering basics. Because the team projects start in the first week of class, attendance that week is strongly recommended. Prerequisites: BIOMEDIN 210 or 214 or 215 or 217 or 260. Preference to BMI graduate students. Consent of instructor required.NOTE: For students in the Department of Biomedical Data Science Program, this core course MUST be taken as a letter grade only.
Terms: Spr | Units: 3-5

GENE 214: Representations and Algorithms for Computational Molecular Biology (BIOE 214, BIOMEDIN 214, CS 274)

BIOMEDIN 214: Representations and Algorithms for Computational Molecular Biology ( BIOE 214, CS 274, GENE 214)Topics: This is a graduate level introduction to bioinformatics and computational biology, algorithms for alignment of biological sequences and structures, BLAST, phylogenetic tree construction, hidden Markov models, basic structural computations on proteins, protein structure prediction, molecular dynamics and energy minimization, statistical analysis of 3D structure, knowledge controlled terminologies for molecular function, expression analysis, chemoinformatics, pharmacogenetics, network biology. Lectures are supplemented with assignments and programming projects, which allow students to implement important computational biology algorithms. Firm prerequisite: CS 106B. NOTE: For students in the Department of Biomedical Data Science Program, this core course MUST be taken as a letter grade only.
Terms: Aut | Units: 3-4

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)
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