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1 - 9 of 9 results for: BIOS

BIOS 201: Next Generation Sequencing and Applications

Usher in the golden age of biological discovery with next generation sequencing (NGS) through its wide spectrum of applications. Modules include general introduction of Next Generation Sequencing (NGS) technologies, applications of these sequencing technologies, caveats and comparisons with previous approaches, analysis and interpretation of sequencing data, principles of tools and resources and practical ways to utilize them, and features and pitfalls. Prerequisite: background in molecular biology.
Terms: Win | Units: 2 | Grading: Medical Option (Med-Ltr-CR/NC)

BIOS 205: Introduction to R for Data Analysis

Autumn quarter enrollment limited to ADVANCE students; instructor consent required for enrollment. Topics include: basics of R (widely used, open-source programming and data analysis environment) programming language and data structures, reading/writing files, graphics tools for figure generation, basic statistical and regression operations, survey of relevant R library packages. Interactive format combining lectures and computer lab. For course and enrollment information, see https://web.stanford.edu/~sbagley2/bios205/
Terms: Aut, Win, Spr | Units: 1 | Grading: Medical Satisfactory/No Credit
Instructors: Bagley, S. (PI)

BIOS 225: Diversity and Inclusion in Science

Introduction to the social science literature on factors contributing to gender disparities in the scientific workplace (e.g. implicit bias and stereotype threat). Discussions focus on steps that individuals and institutions can take to promote the advancement of women and other underrepresented groups in science, and thus promote the advancement of science.
Terms: Win | Units: 1 | Grading: Medical Satisfactory/No Credit
Instructors: Goodman, M. (PI)

BIOS 253: Discovery and Innovation in Emerging Viral Infections

An interdisciplinary mini course focused on challenges posed by emerging viruses and innovative efforts to overcome them. Modules include epidemiology and ecology of emerging viral infections, such as Ebola, dengue, and Zika, discovery of new emerging viruses, development and application of molecular assays for the diagnosis and management of emerging viral infections, bioinformatics and genetic approaches for antiviral target discovery, and novel therapeutic approaches for combating emerging viruses. It is intended for graduate students and postdoctoral fellows interested in emerging viral infections. Advanced undergraduates are also welcome. Prerequisite: background in molecular biology.
Terms: not given this year | Units: 1 | Grading: Medical Satisfactory/No Credit
Instructors: Einav, S. (PI)

BIOS 255: Promises and Pitfalls: A Critical Evaluation of Neuroscience Techniques

The complexity of modern neuroscience requires researchers to develop an interdisciplinary approach. This course explores multiple technologies for understanding the brain and is less a survey of different techniques than a critical comparison of them. With the goal of incorporating a new technique into their own research projects, students will address potential advantages, disadvantages and limitations of various methods. The final two class meetings will be devoted to allowing students to develop a plan to integrate a new technique into their current research projects and receive feedback from the class on how informative and viable their plans may be.
Terms: not given this year | Units: 1 | Grading: Medical Satisfactory/No Credit
Instructors: Goodman, M. (PI)

BIOS 256: Sculptural Data Illustrations

Mini-course. Students will use learn make and print 3D models of their data to use as a focal point when describing their project. We will teach the students how to use Autocad and Blender to process existing data sets and students are encouraged to bring their own data. We strive to make wearable models to enable instant mini-lectures any place and anytime.
Terms: Win, Spr | Units: 1 | Grading: Medical Option (Med-Ltr-CR/NC)

BIOS 258: Ethics, Science, and Society

This discussion focused Ethics, Science, and Society interactive mini-course will engage Biosciences graduate students and faculty in learning and conversations on topics in responsible research (including animal subjects, authorship, collaboration, conflicts of interest, data management, human subjects, mentor-mentee relationships, peer review, publication, research misconduct, and social responsibility) and diversity in science, informed by readings, case studies, individual reflections, and more. Some of the driving themes in this course include: what it means to do research well and how to and not to achieve this, why doing research well and with integrity is important, and who are researchers currently and who should they be.
Terms: Win | Units: 1 | Grading: Medical Satisfactory/No Credit

BIOS 267: Proteomics, Protein Interaction Maps, and Systems Biology

This course will teach principles underlying the biochemistry and biophysics of protein-protein interaction, protein purification, proteomics and mass spectrometry and state-of-the-art tools for assembling protein-protein interaction (PPI) networks including Cytoscape. PPI networks provide a broad tool to build maps for modeling and hypothesis generation for biological systems. Adding curated, public and computed metadata to PPI maps will be included in labs. Statistical, logical Boolean, Bayesian, and graph theoretic methods for network analysis will be discussed and used in lab. Experimental methods in high throughput biology and the strengths/limitations of public data to test multiplexed hypotheses from networks will be emphasized.
Terms: Win | Units: 1 | Grading: Medical Option (Med-Ltr-CR/NC)
Instructors: Jackson, P. (PI)

BIOS 269: Applying Modern Techniques to Old Diseases

This course will introduce two lung diseases, pulmonary hypertension and emphysema, and uses them as a forum to discuss how modern molecular and cellular analysis tools can offer novel insights into the mechanisms through which diseases arise. We will discuss the histological and molecular processes underlying these diseases, and how modern techniques and approaches such as progenitor cell identification and lineage tracing, single cell RNA sequencing, deep tissue imaging, and cell type-specific mutation and misexpression can be employed to bring novel insights into their pathobiology and thereby offer potential opportunities to influence the course of these diseases. /
Terms: Win | Units: 1 | Grading: Medical Option (Med-Ltr-CR/NC)
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