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DTSTART;TZID=Europe/Stockholm:20230611T090000
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DTSTAMP:20260403T230651
CREATED:20230216T102719Z
LAST-MODIFIED:20230216T130225Z
UID:148743-1686474000-1687453200@www.scilifelab.se
SUMMARY:RaukR\, Advanced R for Bioinformatics workshop
DESCRIPTION: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. \n\n\n\n\n\n\n\nCourse description\n\n\n\nJoin 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. \n\n\n\nYou are very welcome to apply or see the website for more information. Please\, help us spread the word to interested participants! \n\n\n\n\n\n\n\nImportant dates\n\n\n\nApplication deadline: Fri\, 14.04.2023\, 24:00GMT \n\n\n\nNotification of acceptance/decline: Fri\, 21.04.2023 \n\n\n\nResponsible teachers: Marcin Kierczak\, Sebastian DiLorenzo\, Roy FrancisContact: RaukR@NBIS.se \n\n\n\n\n\n\n\n\n\nCourse website\n\n\n\n\n\nApplication\n\n\n\n\n\n\n\n\n\n\n\n\n\nCourse fee\n\n\n\nAcademic: 10 000 SEK (Includes participation in all official activities and events\, course materials\, breakfast\, lunch and accommodations). \n\n\n\nParticipants from outside of academia should contact us for a fee quote. \n\n\n\nThe fee does not include travel costs. \n\n\n\n\n\n\n\nGuest speakers\n\n\n\nJenny 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/) \n\n\n\n\n\n\n\nCourse content\n\n\n\n\nReproducible research in R (Quarto\, Rmarkdown\, Knitr)\n\n\n\nCollaborative work using Git and GitHub\, CD/CI\n\n\n\nR code style guide & best practices\n\n\n\nCode debugging\, optimization and profiling\n\n\n\nParallelisation and vectorization in R\n\n\n\nWriting own functions\n\n\n\nUnderstanding and using the system of R classes: S3\, S4\, R6 and RC\n\n\n\nAnatomy of an R package: writing your own package from scratch\n\n\n\nTidy data flow with tidyverse\n\n\n\nUsing the language of graphics\, ggplot2\n\n\n\nDeveloping simple web applications using shiny\n\n\n\nR and Python integration using reticulate\n\n\n\nStreamlined modelling using tidymodels\n\n\n\nTeam project work – developing data analyses workflow in R using acquired skills\n\n\n\n\n\n\n\n\nEntry requirements\n\n\n\nThe 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. \n\n\n\nWe offer places for participants from all over the world\, but there is a number of places reserved for participants from Sweden. \n\n\n\n\n\n\n\nSelection criteria\n\n\n\nThis 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.
URL:https://www.scilifelab.se/event/raukr-advanced-r-for-bioinformatics-workshop-2/
CATEGORIES:Course
ATTACH;FMTTYPE=image/jpeg:https://www.scilifelab.se/wp-content/uploads/2023/02/Visby-1.jpg
ORGANIZER;CN="NBIS - National Bioinformatics Infrastructure Sweden":MAILTO:education@nbis.se
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