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RaukR, Advanced R for Bioinformatics – Online workshop

Venue

Online event via Zoom
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RaukR, Advanced R for Bioinformatics – Online workshop

June 13, 2022 @ 08:00 June 17, 2022 @ 17:00 CEST

International workshop. The workshop is open for researchers at university or in industry such as PhD students, postdocs, group leaders, core facility staff and analysts.

Join us online 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 workshop will focus on advanced R functionality, to increase the participants skillset and understanding of what is possible to do today.

While we still cannot gather in Visby due variability of pandemic restrictions internationally, we will have the workshop online! We hope that, like last year, we will learn a lot and have fun coding together! See you there!

The workshop is organised by NBIS.

Responsible teachers: Marcin Kierczak, Sebastian DiLorenzo, Roy Francis
Contact: RaukR@NBIS.se

You are very welcome to apply or see the website for more information. Please, help us spread the word to interested participants!

Important dates

Application deadline: Fri, 13.05.2022, 24:00GMT

Notification of acceptance/decline: Fri, 20.05.2022

Workshop fee

Academic: no fee this year. However, if you register and will be admitted but you will not attend the event without a valid reason, you will be charged a no-show fee (4000 SEK).

Participants from outside of academia should contact us for a fee quote.

The fee does not include travel costs.

Guest speakers

Jenny Bryan (software engineer at RStudio, Data science professor at UBC)
Yihui Xie (software engineer at RStudio)
Christophe Dervieux (software engineer at RStudio)

Content

  • reproducible research in R (rmarkdown, knitr),
  • collaborative work using git and GitHub, CD/CI,
  • R code style guidelines,
  • code debugging, optimization and profiling,
  • parallelization and vectorization in R,
  • writing own functions – best practices,
  • understanding and using the system of R classes: S3, S4, R6 and RC,
  • anatomy of an R package: writing your own package from scratch,
  • code debugging, profiling and optimization,
  • tidy data flow with tidyverse,
  • using the language of graphics, ggplot2,
  • developing simple web applications using shiny,
  • R and Python integration using reticulate

Entry requirements

The workshop 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.

Selection criteria

This year, we can accommodate ~30 participants. Selection criteria include correct entry requirements, motivation to attend the workshop as well as gender and geographical balance.