RaukR, Advanced R for Bioinformatics workshop
June 11 @ 09:00 – June 22 @ 17:00 CEST
International course. The course is open for researchers at university or in industry such as PhD students, postdocs, group leaders, core facility staff and analysts.
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 website for more information. Please, help us spread the word to interested participants!
Application deadline: Fri, 14.04.2023, 24:00GMT
Notification of acceptance/decline: Fri, 21.04.2023
Responsible teachers: Marcin Kierczak, Sebastian DiLorenzo, Roy Francis
Academic: 10 000 SEK (Includes participation in all official activities and events, course materials, breakfast, lunch and accommodations).
Participants from outside of academia should contact us for a fee quote.
The fee does not include travel costs.
Jenny Bryan (software engineer at RStudio, Data science professor at UBC) (link to https://jennybryan.org/about/)
Yihui Xie (software engineer at RStudio) (link to https://yihui.org/en/)
Max Kuhn (software engineer at RStudio) (link to https://www.rstudio.com/authors/max-kuhn/)
Christophe Dervieux (software engineer at RStudio) (link to https://cderv.rbind.io/about/)
- Reproducible research in R (Quarto, Rmarkdown, Knitr)
- Collaborative work using Git and GitHub, CD/CI
- R code style guide & best practices
- Code debugging, optimization and profiling
- Parallelisation and vectorization in R
- Writing own functions
- Understanding and using the system of R classes: S3, S4, R6 and RC
- Anatomy of an R package: writing your own package from scratch
- Tidy data flow with tidyverse
- Using the language of graphics, ggplot2
- Developing simple web applications using shiny
- R and Python integration using reticulate
- Streamlined modelling using tidymodels
- Team project work – developing data analyses workflow in R using acquired skills
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 is a number of places reserved for participants from Sweden.
This year, the school can accommodate ~42 participants. Selection criteria include correct entry requirements, motivation to attend the course as well as gender and geographical balance.