DZIF workshop - Introduction to R

15 May 2023, 10:00 → 17 May 2023, 13:00 Europe/Berlin

Online (Zoom)

We are pleased to invite you to the next DZIF bioinformatics workshop: “Introduction to R”. This workshop aims to provide you with the necessary knowledge and skills to work with large amounts of data using the R environment, which offers free software facilities for data manipulation, calculation and graphical display.

The workshop will be held online from 15. May to 17. May and will cover a range of topics, including programming basics, the R programming language, Rstudio, data import and export, data wrangling, correlation analysis, statistical tests and presenting data via ggplot2. Additionally, on the final day, we will be conducting a case study focused on the analysis of sequencing and SNP data and the creation of heatmaps.

If there is enough interest on the last afternoon, one can add a session to discuss one's own research/project and how to use R for it.

Learning goals

The goal of this seminar is to provide participants with little or no prior knowledge of working with R data the opportunity to fill in any knowledge gaps they may have and determine whether R can be used in their own research. The topic ranges from basic knowledge to get started to more advanced examples, where you see in real-world research examples how to use R.

Prerequisites:

None

Language:

English

Keywords:

R-course, statistical tests, graphs, real world examples

Tools:

Zoom

The deadline for applications is 2nd May, but the number of participants is limited - apply soon to avoid disappointment. 

If you have any questions regarding the workshop, please do not hesitate to email us at bioinformatics@dzif.de.

We look forward to your participation in this exciting workshop and hope to see you soon!

Best regards,

Alice C. McHardy, coordinator

Hadi Foroughmand Araabi Mohammad, René Mreches, Philipp Münch, workshop trainers

Monday 15 May

10:00 → 16:00 Day one

This day will cover the basics of programming in R, including syntax, data types, using R studio, importing and exporting data, and data wrangling techniques.

Tuesday 16 May

10:00 → 16:00 Day two

On this day, we will dive into data analysis techniques in R, including correlation analysis, statistical tests, and creating visually appealing graphs using ggplot2.

Wednesday 17 May

10:00 → 11:00 Day three

This day will focus on a case study that will allow you to apply the concepts learned in the previous days to real-world sequencing and SNP data analysis, including creating heatmaps.
If there is enough interest in the afternoon, one can add a session to discuss one's own research/project and how to use R for it.