04-material.Rmd

# Study material {#material}

## Online tutorial

The course will utilize material from the online book (beta version)
[Orchestrating Microbiome Analysis with R/Bioconductor (OMA)](https://microbiome.github.io/OMA/).

We encourage to familiarize with the material and test examples
already before the course.


## Lecture slides

[Slides](https://github.com/microbiome/course_2022_oulu/tree/main/slides) 

## Tasks

[Exercises](https://microbiome.github.io/OMA/exercises.html)

[Example solutions](https://github.com/microbiome/course_2022_oulu/blob/main/example_solutions.Rmd)


## Extra material on miaverse and R programming

[Resources](https://microbiome.github.io/OMA/resources.html)

In this course, we will analyze [HintikkaXOData](https://rdrr.io/github/microbiome/microbiomeDataSets/man/HintikkaXOData.html).
In this rat study, it was analyzed whether fats and prebiotics affects the microbiome. 

The data consist of 4 groups:

    - High-fat diet without prebiotics
    - High-fat diet with prebiotics
    - Low-fat diet without prebiotics
    - Low-fat diet with prebiotics

You can find the data from [here](https://github.com/microbiome/course_2022_oulu/tree/main/data).