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DTSTART;TZID=Europe/Stockholm:20240610T080000
DTEND;TZID=Europe/Stockholm:20240620T170000
DTSTAMP:20260406T204841
CREATED:20240301T094124Z
LAST-MODIFIED:20240425T075210Z
UID:10001181-1718006400-1718902800@www.scilifelab.se
SUMMARY:RaukR\, Advanced R for Bioinformatics workshop
DESCRIPTION:Join us this June in beautiful and historic Visby to improve your R skills and have a nice time! \n\n\n\nIn 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 homepage for more information. Please\, help us spread the word to interested participants! \n\n\n\nLink to registration\n\n\n\nLink to course website\n\n\n\n\nReproducible research in R (Quarto\, Rmarkdown\, Renv)\n\n\n\nCollaborative work in R using Git and GitHub\n\n\n\nR code style guide & best practices\n\n\n\nCode debugging\, optimization and profiling\n\n\n\nParallelization and vectorization in R\n\n\n\nCrafting your own functions\n\n\n\nObject oriented programming and R classes: S3\, S4\, R6 and RC\n\n\n\nAnatomy of an R package: Creating your own package from scratch\n\n\n\nTidy data flow using tidyverse\n\n\n\nUsing the language of graphics: ggplot2\n\n\n\nDeveloping web applications using Shiny\n\n\n\nR and Python integration using reticulate\n\n\n\nTeam project work – developing data analyses workflow in R using acquired skills\n\n\n\n\nNote that topics covered may be subject to change. \n\n\n\nThe 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\nCourse fee\n\n\n\nA course fee* of 8000 SEK will be invoiced to accepted participants. The fee includes \n\n\n\n\nParticipation in lectures and workshops\n\n\n\nMingle reception with snacks and drinks\n\n\n\nDaily breakfast/coffee\, lunch and afternoon coffee during the workshop\n\n\n\nOne official course dinner\n\n\n\nSurprise social activities\n\n\n\n\n*Please note that NBIS cannot invoice individuals \n\n\n\nImportant dates and information\n\n\n\nApplication opens: 2024-02-22 \n\n\n\nApplication closes: 2024-04-14 \n\n\n\nFor late registrations\, contact the course leaders directly! \n\n\n\nConfirmation to accepted students: 2024-04-17 \n\n\n\nCourse Leader and teachers:  \n\n\n\nSebastian DiLorenzo\, CL \n\n\n\nMarcin Kierczak\, CL \n\n\n\nRoy Francis \n\n\n\nJenny Bryan\, guest lecturer\, Posit \n\n\n\nHenrik Bengtsson\, guest lecturer\, University of California \n\n\n\nIn case you miss information on any of the above dates\, please contact: Course leaders at raukr@nbis.se \n\n\n\nLearning Outcomes\n\n\n\nUpon completion of this course\, you will be able to: \n\n\n\n\nWork collaboratively and reproducibly in R\n\n\n\nOptimize R code\n\n\n\nUnderstand R code to a greater extent\n\n\n\nCreate better visualizations\n\n\n\nAnd more!\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 are a number of places reserved for participants from Sweden.Due to limited space the course can accommodate approximately 45 participants. If we receive more applications\, participants will be selected based on selection criteria\, including (but not limited to) 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-3/
CATEGORIES:Course
ORGANIZER;CN="NBIS - National Bioinformatics Infrastructure Sweden":MAILTO:education@nbis.se
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DTSTART;TZID=Europe/Stockholm:20240616T080000
DTEND;TZID=Europe/Stockholm:20240620T170000
DTSTAMP:20260406T204841
CREATED:20240219T110329Z
LAST-MODIFIED:20240219T110353Z
UID:10001164-1718524800-1718902800@www.scilifelab.se
SUMMARY:Advanced course in Metabolic Engineering & Systems Biology (MESB)
DESCRIPTION:The advanced course in Metabolic Engineering & Systems Biology (MESB) is organized by the Systems and Synthetic Biology division at Chalmers University of Technology\, and is intended for PhD students\, postdocs\, academic and industrial researchers that are interested in computational aspects of metabolic engineering. \n\n\n\nAim & content\n\n\n\nThe aim of the course is to provide participants with a strong primer of various (computational) aspects of metabolic engineering. In particular\, the course covers the following topics: \n\n\n\n\nConstraint-based genome-scale modelling\n\n\n\nEnzyme-constrained modelling\n\n\n\nFermentation technologies\n\n\n\nProteomics technologies\n\n\n\nRNAseq data generation and analysis\n\n\n\nIntegrative gene-expression data analysis\n\n\n\n\nA central question in all the activities is How can I use this in my metabolic engineering project? \n\n\n\nTeaching format\n\n\n\nThe course is intensive and will require precourse studying of material that will be provided closer to the start date. During the course\, teaching will be via lectures\, while also significant time (most afternoons) is allocated for hands-on computer exercises. \n\n\n\nLecturers\n\n\n\nEduard KerkhovenJosé Luis Martínez RuizPetri-Jaan LahtveeVerena SiewersYun ChenCHALMERS\, SwedenDTU\, DenmarkTalTech\, EstoniaCHALMERS\, SwedenCHALMERS\, Sweden
URL:https://www.scilifelab.se/event/advanced-course-in-metabolic-engineering-systems-biology-mesb/
CATEGORIES:Course
ORGANIZER;CN="SciLifeLab Gothenburg":MAILTO:gothenburg@scilifelab.se
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