printer friendly pageBIOS 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
BIOS 205: Introduction to R
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
http://bios205.stanford.edu.
Terms: Aut, Win, Spr
| Units: 1
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
Instructors:
Goodman, M. (PI)
BIOS 251: Biotechnology in the Natural World (SBIO 251)
Life can be found in some of the strangest and most inhospitable places of Earth. Whether in hot springs, oceanic depths, or dense rainforests, living organisms must be natural specialists to survive. This course explores a selection of strange and ingenious biomolecules that natural organisms have evolved in order to survive. Lectures will cover historical background as well as detailed investigations of the structure and function of selected biomolecules of interest. The majority of each lecture and discussion will focus on the adaptation of those molecules for fundamental and innovative approaches in modern biotechnology, especially in medicine and biophotonics. Key biophysical and biochemical techniques will be discussed as they are encountered within primary literature.
Terms: Win
| Units: 1
Instructors:
SoRelle, E. (PI)
;
de la Zerda, A. (PI)
BIOS 252: Experimental strategies for understanding plant-environmental responses
This minicourse will explore the specific aspects of the environment that plants sense, the impacts these stimuli have on plant physiology and the state-of-the-art in experimental methods used to study plant-environmental interactions. Each week will include a lecture, group discussion and lab focused on one of three key environments: the soil, canopy and agricultural field. Lectures will provide necessary background information, literature-based discussions will evaluate current methods and identify areas where innovation is needed, and labs will include demonstrations of several common methods and a trip to the Salinas Valley to visit a farm.
Terms: Win
| Units: 1
Instructors:
Dinneny, J. (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: Win, Spr
| Units: 1
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: Win
| Units: 1
Instructors:
Goodman, M. (PI)
;
Heavner, W. (PI)
BIOS 256: SCULPTURAL DATA ILLUSTRATIONS
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
| Units: 1
Instructors:
Schneider, D. (PI)
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, Sum
| Units: 1
Instructors:
Steele, L. (PI)
;
Talbot, W. (PI)
BIOS 259: Statistical Genetics of Complex Traits
This course provides an overview of statistical methods for analyzing human genetic variation and for understanding the genetic basis of complex traits. Topics include: principles of population genetics; effects of evolutionary forces on pattern of genomic variation; epidemiologic designs; genotype-phenotype association analyses of complex traits; missing heritability. Weekly interactive computing sessions will provide guided exercises analyzing real genomic data. Pre-requisite: basic understanding of probability and access to a laptop computer.
Terms: Win
| Units: 1
Instructors:
Tang, H. (PI)
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