e-learning

Advanced R in Galaxy

Abstract

With HTS-Seq data analysis, we generated tables containing list of DE genes, their expression, some statistics, etc. We can manipulate these tables using Galaxy, as we saw in some tutorials, e.g. "Reference-based RNA-Seq data analysis", and create some visualisations.

About This Material

This is a Hands-on Tutorial from the GTN which is usable either for individual self-study, or as a teaching material in a classroom.

Questions this will address

  • How can I manipulate data using R in Galaxy?
  • How do I get started with tabular data from Galaxy in R?

Learning Objectives

  • Be able to load and explore the shape and contents of a tabular dataset using base R functions.
  • Understand factors and how they can be used to store and work with categorical data.
  • Apply common dplyr functions to manipulate data in R.
  • Employ the ‘pipe’ operator to link together a sequence of functions.

Licence: Creative Commons Attribution 4.0 International

Keywords: Foundations of Data Science, R

Target audience: Students

Resource type: e-learning

Version: 11

Status: Active

Prerequisites:

  • R basics in Galaxy
  • RStudio in Galaxy

Learning objectives:

  • Be able to load and explore the shape and contents of a tabular dataset using base R functions.
  • Understand factors and how they can be used to store and work with categorical data.
  • Apply common dplyr functions to manipulate data in R.
  • Employ the ‘pipe’ operator to link together a sequence of functions.

Date modified: 2024-10-15

Date published: 2019-12-09

Authors: Bérénice Batut, Fotis E. Psomopoulos, The Carpentries, Toby Hodges

Scientific topics: Software engineering

External resources:

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