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DTSTART;TZID=Europe/Stockholm:20220427T080000
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DTSTAMP:20260404T050735
CREATED:20220125T121449Z
LAST-MODIFIED:20220128T090507Z
UID:61538-1651046400-1651251600@www.scilifelab.se
SUMMARY:Workshop on Data Visualization in R - Lund
DESCRIPTION:National course open for PhD students (prioritized)\, postdocs\, researchers and other employees within all Swedish universities interested in learning to plot using different packages in R. \n\n\n\nThe course is organized by NBIS (ELIXIR-SE). \n\n\n\nResponsible teachers: Lokeshwaran Manoharan\, Louella Vasquez\, Markus Ringner \n\n\n\nContact information: edu.plotting.r@nbis.se \n\n\n\n\n\n\n\naPPLY HERE\n\n\n\n\n\n\n\n\n\nCOURSE WEBSITE\n\n\n\n\n\nImportant dates\n\n\n\nApplication open: Jan 31\, 2022 \n\n\n\nApplication deadline: Mar 18\, 2022 \n\n\n\nConfirmation to accepted participants: Mar 25\, 2022 \n\n\n\nCourse fee\n\n\n\nThis training event has no fee. However\, if you accept a position at the workshop and do not participate (no-show) you will be invoiced 2000 SEK. \n\n\n\n*Please note that NBIS cannot invoice individuals \n\n\n\nCourse description\n\n\n\nThis course aims to help researchers to visualize their data in different ways using R. This course will also aim to show researchers how they can make publication grade figures using R. A part of this course is also about making interactive plots that the researchers can view and share in a web-server to make interactive visualizations of the data. \n\n\n\nCourse content\n\n\n\nIn this course you will learn how to visualize your data in R. \n\n\n\nIn particular\, you will learn: \n\n\n\n·          how to format the data necessary for ggplot \n\n\n\n·          how to make bar-charts\, box-plots and others using ggplot \n\n\n\n·          how to make PCA plots in ggplot \n\n\n\n·          how to use R packages for heatmaps \n\n\n\n·          how to plot data on maps using R (optional) \n\n\n\n·          how to plot and handle phylogenetic trees in R (optional) \n\n\n\n·          how to make interactive plots in R using Rshiny \n\n\n\n·          how to host a Rshiny app in one of the available servers \n\n\n\nLearning outcomes\n\n\n\nBy the end of the course the participant will be able to: \n\n\n\n·          handle data in R for visualizations \n\n\n\n·          apply the grammar efficiently in ggplot to get the desired plot \n\n\n\n·          combine different data and/or different plots that are of publication-grade \n\n\n\n·          write your own simple Rshiny app \n\n\n\n·          deploy Rshiny apps in public servers.  \n\n\n\nEntry requirements\n\n\n\nRequired for being able to follow the course and to complete computer exercises: \n\n\n\nfamiliarity with using R and Rstudioa computer with R and Rstudioyou will be asked to install different R packages necessary for the course prior to the course. \n\n\n\nSelection criteria\n\n\n\nThe course can accommodate 25 participants. Selection criteria include correct entry requirements\, motivation to attend the course as well as gender and geographical balance. Academic affiliated registrants are prioritized prior to participants from the industry. \n\n\n\nPlease note that NBIS training events do not provide any formal university credits. The training content is estimated to correspond to a certain number of credits\, however the estimated credits are just guidelines. If formal credits are crucial\, the student needs to confer with the home department before submitting a course application in order to establish whether the course is valid for formal credits or not.
URL:https://www.scilifelab.se/event/workshop-on-data-visualization-in-r-lund/
LOCATION:Retina D227\, Biologihuset\, Sölvegatan 35\, Lund\, 223 62
CATEGORIES:Course
ORGANIZER;CN="NBIS - National Bioinformatics Infrastructure Sweden":MAILTO:education@nbis.se
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