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Introduction to R for Biologists

Anticipated workshop duration when delivered to a group of participants is 3 hours.

For queries relating to this workshop, contact Melbourne Bioinformatics (bioinformatics-training@unimelb.edu.au).

Overview

Topic

  • Genomics
  • Transcriptomics
  • Proteomics
  • Metabolomics
  • Statistics and visualisation
  • Structural Modelling
  • Basic skills

Skill level

  • Beginner
  • Intermediate
  • Advanced

This workshop is is aimed at bench biologists with no coding/programming skills.

Description

Ever wanted to visualise your own data? You can with R!

This introduction to R and RStudio will provide beginners with experience with loading, manipulating and visualising biological data using the tidyverse collection of R packages. The example data used is publicly available RNA-seq data, therefore attendees will gain experience in the structure and appearance of RNA-seq data. This workshop has been developed collaboratively by training specialists at Peter MacCallum Cancer Centre and Melbourne Bioinformatics.

Tools: R, RStudio, tidyverse, ggplot2


Learning Objectives

At the end of this introductory workshop, you will be able to:

  • Load tabular data into R.
  • Apply tidyverse functions to manipulate data in R.
  • Produce simple plots such boxplots using ggplot.
  • Understand and apply data faceting in ggplot.
  • Modify the aesthetics of a ggplot plot.

Requirements and preparation

Attendees are required to bring their own laptop computers to face to face workshops.

At least one week before the workshop, participants should install the software and data files below. This should provide sufficient time for participants to liaise with their own IT support should they encounter any IT problems.
We recommend you watch this video to familiarise yourself with R, Rstudio and Tidyverse.

Preparing your laptop prior to starting this workshop

  1. Download and install R (free) on your computer.
  2. Download and install RStudio (free) on your computer.
  3. Detailed instructions for installing R and RStudio are available here.

Required Software

Required Data

  • Data file can be downloaded from here
  • Hyper links for downloading the required data are also included in the workshop PDF, see ‘Workshop material’ below.

Author Information

Written by: Maria Doyle, Jessica Chung and Victoria Perreau
This workshop has been developed collaboratively by training specialists at Peter MacCallum Cancer Centre and Melbourne Bioinformatics

Created: October 2019
Last Reviewed: October 2020


Workshop Material

Detailed workshop material, including links for data download, are available as both:


Additional reading