Time and place
Office hours: Tu 3:30-4:30pm and Th 5:30-6:30pm in 109 Haviland Hall
This course surveys applications of probability and statistics
to genetics and molecular biology, from the early Mendelian experiments
to modern day genomic research. Three main topics will be covered
In addition to discussing specific statistical methods, the course will
provide an introduction to basic notions in genetics and molecular
biology and to the main software packages for the analysis of biological
data, with emphasis on the R language
and environment. The course will also involve the critical reading of articles
related to statistical analyses in the biological and medical sciences.
DNA microarray experiments;
Biological sequence analysis.
I also encourage you to attend PH
296, the Statistics and Genomics Seminar (schedule and abstracts)
240D, Section 001
Course control number: 76077
There is no laboratory section
Statistics 200 A and B (may be taken concurrently) or consent
Some familiarity with R or S-Plus. Tutorials are available on the R
No formal training in biology is required; basic notions will be
presented in class and references will be provided for further reading.
50% homework and 50% final
There will be at least one assignment on each of the three sections
of the course. Assignments will involve both theory and biological
data analysis using R.
The final project will consist of a written report and poster
presentation on a topic that involves the application of statistical
and computational methods to address a particular biological question.
I will provide a list of suggested topics.
There is no required text. I will provide lecture
notes and references on the website.