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DTSTART;TZID=Europe/Stockholm:20230424T090000
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UID:149201-1682326800-1682695800@www.scilifelab.se
SUMMARY:NBIS/ELIXIR-SE Tools for Reproducible Research - ONLINE
DESCRIPTION:NBIS / ELIXIR-SE course is open for PhD students\, postdocs\, group leaders and core facility staff interested in making their computational analysis more reproducible. International applications are welcome\, but we will give approximately half of the participant slots to applicants from Swedish universities at minimum\, due to the national role NBIS plays in Sweden. \n\n\n\nResponsible teachers: Erik Fasterius\, John Sundh \n\n\n\nContact information: edu.trr@nbis.se \n\n\n\n\n\n\n\n\n\nApplication\n\n\n\n\n\nCourse website\n\n\n\n\n\n\n\nImportant dates\n\n\n\nApplication open: Feb 27\, 2023 \n\n\n\nApplication deadline: Mar 31\, 2023 \n\n\n\nConfirmation to accepted participants: Apr 7\, 2023 \n\n\n\n\n\n\n\nCourse fee\n\n\n\nThis online training event has no fee. However\, if you accept a position at the workshop and do not participate (no-show) you will be invoiced 2\,000 SEK.*Please note that NBIS cannot invoice individuals \n\n\n\n\n\n\n\nCourse description\n\n\n\nOne of the key principles of proper scientific procedure is the act of repeating an experiment or analysis and being able to reach similar conclusions. Published research based on computational analysis\, e.g. bioinformatics or computational biology\, have often suffered from incomplete method descriptions (e.g. list of used software versions); unavailable raw data; and incomplete\, undocumented and/or unavailable code. This essentially prevents any possibility of attempting to reproduce the results of such studies. The term “reproducible research” has been used to describe the idea that a scientific publication based on computational analysis should be distributed along with all the raw data and metadata used in the study\, all the code and/or computational notebooks needed to produce results from the raw data\, and the computational environment or a complete description thereof. \n\n\n\nReproducible research not only leads to proper scientific conduct but also provides other researchers the access to build upon previous work. Most importantly\, the person setting up a reproducible research project will quickly realize the immediate personal benefits: an organized and structured way of working. The person that most often has to reproduce your own analysis is your future self! \n\n\n\n\n\n\n\nCourse content\n\n\n\nTopics covered \n\n\n\n\nGood practices for data analysis\n\n\n\nVersion control and collaborative code development\n\n\n\nPackage and environment management\n\n\n\nWorkflow management\n\n\n\nDocumentation and reporting\n\n\n\nContainerized computational environments\n\n\n\n\n\n\n\n\nLearning outcomesBy the end of the course the student will be able to: \n\n\n\n\nOrganize and structure computational projects\n\n\n\nTrack changes and collaborate on code using Git\n\n\n\nInstall packages and manage software environments using Conda\n\n\n\nStructure computational steps into workflows with Snakemake and Nextflow\n\n\n\nCreate automated reports and document their analyses with RMarkdown and Jupyter\n\n\n\nPackage and distribute computational environments using Docker and Singularity\n\n\n\n\n\n\n\n\nEntry requirements\n\n\n\nRequired for being able to follow the course and to complete computer exercises: \n\n\n\n\nFamiliarity with using the terminal (e.g. be familiar with commands such as ls\, cd\, touch\, mkdir\, pwd\, wget\, man\, etc.)\n\n\n\nA computer with a webcam\n\n\n\nYou will be asked to install the video conferencing software zoom (https://zoom.us/) to be able to participate in the course\n\n\n\nSome knowledge in R and/or python is beneficial but not strictly required\n\n\n\n\n\n\n\n\nSelection criteria\n\n\n\nThe course can accommodate 20 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/nbis-elixir-se-tools-for-reproducible-research-online-3/
LOCATION:Online event via Zoom
CATEGORIES:Course
ORGANIZER;CN="NBIS - National Bioinformatics Infrastructure Sweden":MAILTO:education@nbis.se
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