PubH 8400 Advanced Statistical Genetics and Genomics - Spring 2008

Information

Instructors: Na Li (nali@umn.edu) and Baolin Wu (baolin@umn.edu)
Meeting Time & Place: Moos T 2-116, T & Th 11:15AM - 12:30PM
Office Hours: By appointment
Syllabus
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Introduction; meiosis indicator, identity by descent and identity coefficients, likelihood.
Linkage analysis, LOD score, Elston-Stewart and Lander-Green algorithms, MCMC methods, nonparametric linkage.
Quantitative traits, variance component linkage methods.
Modern population genetics, coalescent theory and its applications (2 weeks).
Population based association studies, linkage disequilibrium, haplotype, population admixture. (2 weeks)
Family based association, TDT methods, design of family based studies.
Introduction to array technology: microarray, SNP array, mass spectrometry.
Low-level analysis: pre-processing of cDNA/Affy/SNP arrays (1.5 weeks).
High-level analysis I: differential gene expression detection and multiple comparison.
High-level analysis II: prediction, clustering, interaction modeling(2 weeks).
Analysis of mass spectrometry data.

There will be about 6 homeworks and a final project, contributing 60% and 40% to the final grade respectively.