Announcements

Lectures

Homework

Final project

References

Syllabus (pdf)

Time and place

TuTh 2:00-3:30pm
151 Barrows

Sandrine Dudoit
E-mail: sandrine@stat.berkeley.edu
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

1. Genetic mapping; 
2. DNA microarray experiments; 
3. Biological sequence analysis. 

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. 

I also encourage you to attend PH 296, the Statistics and Genomics Seminar (schedule and abstracts)  

PH 240D, Section 001
Course control number: 76077 
Units: 4
There is no laboratory section

Statistics 200 A and B (may be taken concurrently) or consent of instructor. 

Some familiarity with R or S-Plus. Tutorials are available on the R and Bioconductor websites.

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 project. 

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.