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UID:177888-1743408000-1743699600@www.scilifelab.se
SUMMARY:Single-Cell RNA-Seq Data Analysis
DESCRIPTION:National course open for PhD students\, postdocs\, researchers and other employees in all Swedish universities\, in need of single cell RNAseq analysis skills. We also welcome applications from outside of Sweden and from the non-academic sector\, for more info contact us! \n\n\n\nCourse dates: 31 March 2025 – 3 April 2025 and 10 April 2025 \n\n\n\nImportant dates and information\n\n\n\nApplication opens: 2024-12-18 \n\n\n\nApplication closes: 2025-02-28 \n\n\n\nConfirmation to accepted students: 2025-03-07 \n\n\n\nCourse Leader and teachers: Åsa Björklund (CL)\, Susanne Reinsbach (CL)\, Jennifer Fransson (CL) \n\n\n\nIn case you miss information on any of the above dates\, please contact: edu.sc [at] nbis.se \n\n\n\nCourse fee\n\n\n\nThis online training event has no fee for academic participants. However\, if you accept a position at the workshop and do not participate (no-show) you will be invoiced 3000 SEK. For non-academic participants a course fee* of 12000 SEK  will be invoiced. \n\n\n\n*Please note that NBIS cannot invoice individuals \n\n\n\nRegister here\n\n\n\nCourse content\n\n\n\nThis workshop will introduce the best practice bioinformatics methods for analysing single cell RNA-seq data via a series of lectures and computer practicals. The total course duration is 5 days which includes 4 days of lectures and exercises followed by a “Bring Your Own Data” (BYOD) day where you get to practice your skills on a dataset of your choosing. Please note that the BYOD section will take place the week after the lectures. \n\n\n\nTopics covered will include: \n\n\n\n\nOverview of the current scRNAseq technologies\n\n\n\nBasic overview of pipelines for processing raw reads into expression values\n\n\n\nQuality control and normalization\n\n\n\nDimensionality reduction techniques\n\n\n\nData integration and batch correction\n\n\n\nDifferential gene expression\n\n\n\nClustering techniques\n\n\n\nCell type prediction\n\n\n\nTrajectory inference analysis\n\n\n\nComparison of Seurat\, Bioconductor and Scanpy toolkits\n\n\n\n\nLearning Outcomes\n\n\n\nUpon completion of this course\, you will be able to run analysis on your own data\, select appropriate analysis methods and interpret the results. \n\n\n\nEntry requirements\n\n\n\nThe following is a list of skills required for being able to follow the course and complete the exercises: \n\n\n\n\nYou are familiar with basic UNIX command line (bash)\n\n\n\nYou are familiar with either R and/or Python\n\n\n\nYou already understand the basics of NGS technologies\n\n\n\nYou are familiar with analyses of bulk RNA-sequencing data\n\n\n\nYou have full access to your computer (admin permissions). Instructions on installation will be sent by email to accepted participants.\n\n\n\n\nThe course accommodates a maximum of 25 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. \n\n\n\nContact\n\n\n\neducation@nbis.se
URL:https://www.scilifelab.se/event/single-cell-rna-seq-data-analysis-2/
LOCATION:Online event via Zoom
CATEGORIES:Course
ORGANIZER;CN="NBIS - National Bioinformatics Infrastructure Sweden":MAILTO:education@nbis.se
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