Description:

This workshop has been developed collaboratively by training specialists at Peter MacCallum Cancer Center and Melbourne Bioinformatics.

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.

Start: Thursday, 27 October 2022 @ 10:00

End: Thursday, 27 October 2022 @ 13:00

Duration: 3 hours

Timezone: Melbourne

Venue: 21 Bedford Street

City: North Melbourne  Country: Australia  Postcode: 3051

Prerequisites:

None

Learning Objectives:

By the end of this training, participants 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.

Eligibility:
  • Host institutions

Organiser: Melbourne Bioinformatics

Contact: bioinformatics-training@unimelb.edu.au

Host institution: University of Melbourne

Keywords: R, Introductory, RNASeq

Target audience:
  • beginners
  • Life scientists planning or running single cell RNAseq experiments (or mining public data), who want to perform their own analyses.
  • Researchers and research students, or anyone who wants to learn intermediate statistical concepts to apply in R.

Capacity: 20

Event type:
  • Workshop
Tech Requirements:

BYO computer with R studio installed- instructions provided

Cost Basis: Free to all

Introduction to R for biologists https://dresa.org.au/events/introduction-to-r-for-biologists-49a52478-709d-4e02-8361-e891f7fcab67 This workshop has been developed collaboratively by training specialists at Peter MacCallum Cancer Center and Melbourne Bioinformatics. 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. 2022-10-27 10:00:00 UTC 2022-10-27 13:00:00 UTC Melbourne Bioinformatics 21 Bedford Street, North Melbourne, Australia 21 Bedford Street North Melbourne Australia 3051 University of Melbourne bioinformatics-training@unimelb.edu.au [] beginnersLife scientists planning or running single cell RNAseq experiments (or mining public data), who want to perform their own analyses.Researchers and research students, or anyone who wants to learn intermediate statistical concepts to apply in R. 20 workshop host_institution RIntroductoryRNASeq