RaukR, Advanced R for Bioinformatics, Summer course
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.
The course is organized by NBIS.
Responsible teachers: Marcin Kierczak, Sebastian DiLorenzo
Application open: March 17
Application deadline: April 15
Notification of acceptance/decline: April 25
Academic: 8500 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.
Join us in medieval Visby this June 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 visualizations. This Summer course will focus on advanced R functionality, to increase the participants skillset and understanding of what is possible to do today.
- Reproducibility with R
- Writing R packages
- R scripts
- S3, S4 and Reference Classes
- Code debugging and optimization
- R markdown
- Interactive plots
- Statistics in R
- Machine Learning
- Shiny web applications
- Working with maps
- Area specific workshops (RNAseq, spatial stats etc)
- Working with your own dataset
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.
The course can accommodate 45 participants. election criteria include correct entry requirements, motivation to attend the course as well as gender and geographical balance.