Organizer: de.NBI

Start: Monday, 07 December 2020 @ 09:00

End: Monday, 07 December 2020 @ 17:00

Description:

Educators:
Markus Stepath, Karin Schork, Nils Hoffmann (BioInfra.Prot / LIFS)

Date:
Monday, 7th Dec 2020

Location:
Online training

Contents:
In this course you will learn how to use the ggplot2 package in R to create informative and beautiful figures to communicate your omics data and analysis results.

We will cover the following topics:
- Usage of the tidyverse for data preprocessing
- Usage of the ggplot2 R package
- Presentation of different types of graphics and when to use them
- Customization of graphics

Please be aware that basic knowledge of R is taught in our course “Differential analysis of quantitative proteomics data” on Monday, 2nd Nov 2020 (http://goo.gl/forms/mpKHnbT1Um).

Learning goals:
- Using the ggplot2 R package to create graphics for omics data
- Decide which type of graph is appropriate for the given data
- Ability to costumize the graphics using ggplot2

Prerequisites:
- Basic understanding of high-dimensional data sets from quantitative proteomics or other life sciences;
- Basic knowledge of R (e.g. data import, basic plots. This can for example be gained from our course “Differential analysis of quantitative proteomics data” (Monday, 2nd Nov 2020, http://goo.gl/forms/mpKHnbT1Um).
- Computer with stable internet connection, headset and camera

Keywords:
R; tidyverse; ggplot2; high-throughput data; omics; proteomics; data analysis, graphics, data preprocessing

Tools:
Download and more information on R here:
https://cran.r-project.org/

We recommend using an editor such as RStudio, see
www.rstudio.com

Event type:
  • Workshops and courses
Data visualization using R https://tess.elixir-europe.org/events/data-visualization-using-r Educators: Markus Stepath, Karin Schork, Nils Hoffmann (BioInfra.Prot / LIFS) Date: Monday, 7th Dec 2020 Location: Online training Contents: In this course you will learn how to use the ggplot2 package in R to create informative and beautiful figures to communicate your omics data and analysis results. We will cover the following topics: - Usage of the tidyverse for data preprocessing - Usage of the ggplot2 R package - Presentation of different types of graphics and when to use them - Customization of graphics Please be aware that basic knowledge of R is taught in our course “Differential analysis of quantitative proteomics data” on Monday, 2nd Nov 2020 (http://goo.gl/forms/mpKHnbT1Um). Learning goals: - Using the ggplot2 R package to create graphics for omics data - Decide which type of graph is appropriate for the given data - Ability to costumize the graphics using ggplot2 Prerequisites: - Basic understanding of high-dimensional data sets from quantitative proteomics or other life sciences; - Basic knowledge of R (e.g. data import, basic plots. This can for example be gained from our course “Differential analysis of quantitative proteomics data” (Monday, 2nd Nov 2020, http://goo.gl/forms/mpKHnbT1Um). - Computer with stable internet connection, headset and camera Keywords: R; tidyverse; ggplot2; high-throughput data; omics; proteomics; data analysis, graphics, data preprocessing Tools: Download and more information on R here: https://cran.r-project.org/ We recommend using an editor such as RStudio, see www.rstudio.com 2020-12-07 09:00:00 UTC 2020-12-07 17:00:00 UTC de.NBI [] [] [] workshops_and_courses [] []