RaukR, Advanced R for Bioinformatics workshop
June 10, 2024 @ 08:00 – June 20, 2024 @ 17:00 CEST
Join us this June in beautiful and historic Visby to improve your R skills and have a nice time!
In Life Science and Bioinformatics, R is increasingly being used to transform and analyse data, perform statistical analysis and produce publication-ready visualisations. This workshop will focus on advanced R functionality, to increase the participants skillset and understanding of what is possible to do today.
You are very welcome to apply or see the homepage for more information. Please, help us spread the word to interested participants!
- Reproducible research in R (Quarto, Rmarkdown, Renv)
- Collaborative work in R using Git and GitHub
- R code style guide & best practices
- Code debugging, optimization and profiling
- Parallelization and vectorization in R
- Crafting your own functions
- Object oriented programming and R classes: S3, S4, R6 and RC
- Anatomy of an R package: Creating your own package from scratch
- Tidy data flow using tidyverse
- Using the language of graphics: ggplot2
- Developing web applications using Shiny
- R and Python integration using reticulate
- Team project work – developing data analyses workflow in R using acquired skills
Note that topics covered may be subject to change.
The course is open for researchers at university or in industry such as PhD students, postdocs, group leaders, core facility staff and analysts.
Course fee
A course fee* of 8000 SEK will be invoiced to accepted participants. The fee includes
- Participation in lectures and workshops
- Mingle reception with snacks and drinks
- Daily breakfast/coffee, lunch and afternoon coffee during the workshop
- One official course dinner
- Surprise social activities
*Please note that NBIS cannot invoice individuals
Important dates and information
Application opens: 2024-02-22
Application closes: 2024-04-14
For late registrations, contact the course leaders directly!
Confirmation to accepted students: 2024-04-17
Course Leader and teachers:
Sebastian DiLorenzo, CL
Marcin Kierczak, CL
Roy Francis
Jenny Bryan, guest lecturer, Posit
Henrik Bengtsson, guest lecturer, University of California
In case you miss information on any of the above dates, please contact: Course leaders at raukr@nbis.se
Learning Outcomes
Upon completion of this course, you will be able to:
- Work collaboratively and reproducibly in R
- Optimize R code
- Understand R code to a greater extent
- Create better visualizations
- And more!
Entry requirements
The course is aimed at both Ph.D. students and researchers within Life Sciences who are already using R for basic bioinformatics analyses and who would like to start using R at a more advanced level. In order for you and other participants to benefit the most, you should consider yourself eligible if you are comfortable with reading and transforming data, installing and using third-party packages and plotting using standard R graphics.
We offer places for participants from all over the world, but there are a number of places reserved for participants from Sweden.Due to limited space the course can accommodate approximately 45 participants. If we receive more applications, participants will be selected based on selection criteria, including (but not limited to) correct entry requirements, motivation to attend the course, as well as gender and geographical balance.
Google Calendar 
