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 organised by NBIS
Responsible teachers: Marcin Kierczak, Sebastian DiLorenzo
Application deadline: April 3rd, 2020
Notification of acceptance/decline: April 17th, 2020
Academic: 9000 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 visualisations. This Summer course 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!
Reproducibility with R
Writing R packages
S3, S4 and Reference Classes
Code debugging and optimization
Statistics in R
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 40 participants. election criteria include correct entry requirements, motivation to attend the course as well as gender and geographical balance.