University of Minnesota

School of Public Health

Division of Biostatistics

PubH 7445 Statistics for Human Genetics and Molecular Biology - Fall 2018

 

 

Syllabus and Course Information

 

 

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Instructor:

Dr. Cavan Reilly

cavanr@biostat.umn.edu

Teaching Assistant:

TBD

Office hours for Cavan: Mon. and Wed. 2:30-3:30 in the Coordinating Centers for Biometric Research (2221 University Ave, Floor 2) (612.624.9644)

Office hours for the TA: NA, there is no TA for this course this year


Week

Topics

Lecture Notes

R Code

Homework

Reading

1

Review of Molecular Biology

Review of biology

SimpleR section 1-3, Foulkes Chapter 1, SimpleR section 6, Appendix (page 135-139)

2

Review of Statistics and Introduction to R

3

Linkage disequilibrium, Hardy Weinberg equilibrium

4

Multiple comparisons for GWAS

5

Testing associations between phenotypes and haplotypes

6

Supervised learning with high dimensional data and categorical predictors

7

More on supervised learning

8

Introduction to microarray analysis

9

Differential expression

10

Interpretation of differentially expressed genes

11

Next generation sequencing: bioinformatics

12

Next generation sequencing: biostatistics

13

Machine learning approaches to gene expression data

14

R tools for pathway analysis using RNA-Seq data

15

Proteomics and metabolomics