Raukr 2025 – Summer School – R beyond the basics

Venue

B-huset, Campus Gotland
Cramérgatan 3
Visby, Sweden

Raukr 2025 – Summer School – R beyond the basics

June 9, 2025 @ 08:00 June 19, 2025 @ 17:00 CEST

Course description

Join us this June in the beautiful and historic town of Visby and sharpen your R skills with like-minded enthusiasts! As the use of R continues to flourish within the realms of Life Science and Bioinformatics – revolutionizing data transformation, statistical analysis, and the creation of visuals ready for publication – we are thrilled to offer a workshop dedicated to elevating your expertise with R.

We are excited to announce our invited guest instructors for this year: Jennifer Bryan (Posit), Christophe Dervieux (Posit) and Henrik Bengtsson (UCSF).

Please consider joining us for this enriching experience. For more details and to apply, visit our homepage. We’d also greatly appreciate you sharing this opportunity with others who might be interested.

Course content

We will be covering a number of topics in R programming with focus on R features helpful in bioinformatics and computational biology data analyses workflow:

  • Reproducible research in R (Quarto, Rmarkdown, Renv)
  • Collaborative work 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

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.

By participating in this workshop, you agree to the NBIS Code of conduct: https://uppsala.instructure.com/courses/105973/pages/code-of-conduct

Course fee

This on-site training event costs 9500 SEK for academic participants and 19 000 SEK for non-academic participants, invoiced to the participant’s organization. If you accept a position and do not participate (no-show) you will still be invoiced at the standard fee. Please note that NBIS cannot invoice individuals.

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

NOT included in the fee:

  • Accommodation
  • Travel to and from Visby
  • Daily dinners

Important information

Application opens: 13 Jan 2025

Application closes: 06 Apr 2025

Confirmation to accepted participants: Rolling acceptance.

Responsible teachers: Marcin Kierczak, Sebastian DiLorenzo, Roy Francis

Contact information: raukr@nbis.se

Cramérgatan 3
Visby, Sweden

Last updated: 2025-01-21

Content Responsible: Hampus Persson(hampus.persson@scilifelab.uu.se)