printer friendly pageBIOS 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. Open to graduate students in biomedical sciences with permission of instructor.
Terms: Win, Spr, Sum
| Units: 1
BIOS 212: Plant Genetics: Large Scale Experiments and Clonal Analysis
Using sectored dahlia flowers student teams perform clonal analysis of petals. Brief lectures introduce key topics and dahlia biology (
http://www.stanford.edu/group/dahlia_genetics/). Discussion topics: papers on clonal analysis and specification of floral parts in advanced and primitive Angiosperms, theory and best practices for structuring maize crosses in transposon tagging, allelism with 20 loci, and bulk segregant and fine mapping. Genes likely contributing to petal form and pigmentation nominated from RNA-Seq data and qRT-PCR validated. Genetic screen of ~105 plants to find tagged male-sterile alleles and puton validation performed. Prerequisite: graduate Genetics course.
Terms: Sum
| Units: 2
Instructors:
Walbot, V. (PI)
BIOS 221: Modern Statistics for Modern Biology (STATS 366)
Application based course in nonparametric statistics. Modern toolbox of visualization and statistical methods for the analysis of data, examples drawn from immunology, microbiology, cancer research and ecology. Methods covered include multivariate methods (PCA and extensions), sparse representations (trees, networks, contingency tables) as well as nonparametric testing (Bootstrap, permutation and Monte Carlo methods). Hands on, use R and cover many Bioconductor packages. Prerequisite: Minimal familiarity with computers. Instructor consent.
Terms: Sum
| Units: 3
Instructors:
Holmes, S. (PI)
;
Martin, T. (PI)
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