---
layout: page
title: Pre-course materials for the Advanced Bioinformatics module of the Msc in Genomic Medicine
excerpt: "A course on dplyr and ggplot2"
---

- Sheffield - 15th February - 16 April 2018
- (Module starts April 16th)

# Introduction to R

## Software Installation


### Windows

Install R by downloading and running [this .exe file](http://cran.r-project.org/bin/windows/base/release.htm) from CRAN. Also, please install the [RStudio IDE](http://www.rstudio.com/ide/download/desktop). Note that if you have separate user and admin accounts, you should run the installers as administrator (right-click on .exe file and select "Run as administrator" instead of double-clicking). Otherwise problems may occur later, for example when installing R packages.



### Mac

Install R by downloading and running [this .pkg file](http://cran.r-project.org/bin/macosx/R-latest.pkg) from CRAN. Also, please install the [RStudio IDE](http://www.rstudio.com/ide/download/desktop). 


### Linux

You can download the binary files for your distribution from CRAN. Or you can use your package manager (e.g. for Debian/Ubuntu run `sudo apt-get install r-base` and for Fedora run `sudo yum install R`). Also, please install [the RStudio IDE](http://www.rstudio.com/ide/download/desktop). 


## Course Materials

Please click on this link to download all the files required to run the examples in the course:-

- [Click Here](https://rawgit.com/sheffield-bioinformatics-core/r-crash-course/master/Course_Data.zip)

## Lecture notes

- The notes for this pre-course session are linked below:-
- [Pre-course Notes](https://bioinformatics-core-shared-training.github.io/r-crash-course/crash-course.nb.html)
    
- You will also have access to videos of the instructor talking through the notes
- Included in the course data is an "Rmd" file (`crash-course.Rmd`) that you can use open in RStudio and repeat the R commands for the session

# Introduction to Statistical Analysis

## Software Installation

There is no software to install for this session! Instead you will be required to run a couple of online apps

- [One-sample t-test](http://bioinformatics.cruk.cam.ac.uk/apps/stats/OneSampleTest)
- [Two-sample t-test](http://bioinformatics.cruk.cam.ac.uk/apps/stats/TwoSampleTest)

## Course Data and Practical

Please click on this link to download all the files required to run the examples in the course:-

- [Click Here](https://rawgit.com/sheffield-bioinformatics-core/IntroductionToStats/master/Course_Data.zip)

## Lecture notes

- The notes for this pre-course session are linked below:-
- [Click Here](https://rawgit.com/sheffield-bioinformatics-core/IntroductionToStats/master/lecture.html)


Add instructions for advanced bioinformatics pre-course materials
Add instructions for advanced bioinformatics pre-course materials
