hands-on tutorial

RNA Seq Counts to Viz in R

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The questions this addresses are:
- How can I create neat visualizations of the data?

The objectives are:
- Describe the role of data, aesthetics, geoms, and layers in ggplot functions.
- Customize plot scales, titles, subtitles, themes, fonts, layout, and orientation.

Licence: Creative Commons Attribution 4.0 International

Keywords: Transcriptomics, interactive-tools

Target audience: Students

Resource type: hands-on tutorial

Version: 20

Status: Active

Prerequisites:

  • Advanced R in Galaxy
  • Introduction to Galaxy Analyses
  • Mapping
  • Quality Control
  • R basics in Galaxy
  • RStudio in Galaxy
  • Reference-based RNA-Seq data analysis

Learning objectives:

Describe the role of data, aesthetics, geoms, and layers in ggplot functions.
- Customize plot scales, titles, subtitles, themes, fonts, layout, and orientation.

Date modified: 2024-06-14

Date published: 2019-10-08

Authors: Bérénice Batut, Fotis E. Psomopoulos, Gallantries: Bridging Training Communities in Life Science, Environment and Health, Toby Hodges

Contributors: Bérénice Batut, Erasmus+ Programme, Fotis E. Psomopoulos, Toby Hodges

Scientific topics: Transcriptomics

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