Overview

The goal of this repository is to collect and update all exercises for my class (still ongoing).

This is not planned as R package, so no installation needed, just fork the repository and work within your own github/git/RStudio environment.

Classic exercises

In this directory, there are six classic exercise sheets filed. Classic means that the exercises can be solved by pen & paper, you do not need R. They are quite similar to the assignments in the final exam (also to be solved by pen & paper, without any additional material or tools). The topics of the sheets are:

1. Biological basics
2. Statistical basics
3. Statistical concepts in genetics
4. Population genetics & SNP-Arrays
5. Imputation & genome-wide association analyses
6. Gene expression analyses

Some of the exercises can be submitted and will be corrected. Please use the Moodle course for this.

R exercises

In this directory, there are six R exercise sheets filed. The data necessary for some of the exercises are provided in the Moodle course. While coding is not part of the final exam, this exercises aim to help you understand and interpret statistical results better, which will be part of the exam. The topics of the R-sheets are:

1. Introduction in R
2. Descriptive statistics in R
3. Regression models in R
4. Visualization of some statistical concepts in genetics
5. Meta analyses and Online-Tools
6. Mendelian Randomization

Code for all exercises can be submitted and will be corrected or commented. Please use the Moodle course for this.

Git exercises

For those interested in git, there is a git directory with a small git introduction and an exercise.