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1 - 10 of 10 results for: BIOS

BIOS 205: Introductory Data Analysis in R for Biomedical Students

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 218: Molecular basis of membrane traffic

Transport of proteins through the secretory and endocytic pathways is essential for life; dysregulation causes disease and pathogens hijack these pathways to their best advantage. 5 international experts present didactic lectures and engage with students. Topics include: history of genetic and biochemical experiments to identify key components; reconstitution approaches; coated vesicle formation and cargo selection; control of membrane traffic by Rab GTPases; siRNA screens; high throughput microscopy analysis and systems biology approaches. Students devise and present research proposals based on the research of the guest speakers.
Terms: Win | Units: 2
Instructors: Pfeffer, S. (PI)

BIOS 229: Drug Discovery and Development Project Simulation

Two-day short course. Focus is on the progression of a drug discovery project from target identification through pre-clinical research, early and late clinical development, and registration with the health authorities. Presented by Novartis. Enrollment limited to postdoctoral students and graduate students with research experience.
Terms: Win | Units: 2

BIOS 232: Two-photon Imaging of Neural Circuits

Focuses on application of two-photon imaging to modern neuroscience. Topics include microscopy and imaging.
Terms: Win | Units: 2
Instructors: Ding, J. (PI)

BIOS 234: Personalized Genomic Medicine

Focuses on next-generation sequencing and its implications for personalized genomic medicine. Students gain hands-on experience with popular DNA sequence analysis tools as well as a practical understanding of the underlying algorithms and biomedicine.
Terms: Win | Units: 1

BIOS 237: Investigating Biology with Fluorescent Proteins

Focuses on fluorescent proteins, a proven research tool for imaging a wide range of biological phenomena and continuously uncover exciting discoveries in many areas. Students gain practical expertise in concepts, methodology, and data analysis through lectures, literature discussion, and hands-on computer exercises with "real world" data.
Terms: Win | Units: 1

BIOS 239: Synapse Development

Focuses on the mechanisms of synapse development, including the role of adhesion molecules in establishing neuronal contacts, the function of synapse-inducing molecules, how pre- and postsynaptic material is transported to nascent synapses, synapse maturation, synapse elimination as well as how synaptic dysfunction may lead to neurological disorders. Readings from primary literature.
Terms: Win | Units: 3

BIOS 240: Cellular Metabolism: An Emerging Hallmark of Cancer and Aging

Introduction to cellular metabolism, including changes in metabolic flux that drive diverse disease states from cancer to aging. Topics covered include cancer metabolism, cellular nutrient sensing, metabolism in aging, and the influence of metabolism on stem cell fate. This course uses discussion of recent advances in the field to place an emphasis on practical applications, including the integration of metabolomics into the era of ¿Big Data¿. This mini-course culminates with a lab section allowing the students to conduct an extracellular flux experiment using the Seahorse analyzer to study changes in mitochondrial respiration and glycolysis in cancer cells.
Terms: Win | Units: 1

BIOS 241: Dissecting algorithms for RNA Sequencing

Class focuses on a few popular and commonly used algorithms for RNA-Seq analysis. The course dissects the algorithmic assumptions, statistical methods they use to test hypotheses about RNA expression and evaluates properties such as robustness, sensitivity and specificity, highlighting some large "blind spots" in many algorithms.
Terms: Win | Units: 2
Instructors: Salzman, J. (PI)

BIOS 243: Grant Writing Academy Mini Course: Specific Aims

Concise overview of the fundamentals for writing competitive NIH Kirschtein NRSA fellowships (F31, F32) and K Awards. Topics include developing specific aims; outlining research and career development plans; and using the review criteria to inform writing. Participants develop their one-page NIH-Specific Aims document with an emphasis on in-class peer review and protected daily proposal writing. Students enroll for units in one small-group section, and also attend two mandatory lectures as noted in class schedule.
Terms: Win | Units: 1
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