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DTSTART;TZID=Europe/Stockholm:20230130T080000
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DTSTAMP:20260403T211312
CREATED:20221130T151251Z
LAST-MODIFIED:20230124T084743Z
UID:145748-1675065600-1675432800@www.scilifelab.se
SUMMARY:Single cell RNAseq data analysis
DESCRIPTION:This workshop will introduce the best practice bioinformatics methods for processing and analyses of single cell RNA-seq data. The total course duration is 5 days\, including the lectures and practical exercises that will be held on site in Stockholm. \n\n\n\nApplication\n\n\n\nApplication open: 2022-11-25 \n\n\n\nApplication deadline: 2022-12-21 \n\n\n\napplication form\n\n\n\nCourse Leaders\n\n\n\nPaulo Czarnewski \n\n\n\nÅsa Björklund \n\n\n\nContact: edu.sc@nbis.se \n\n\n\nCourse fee\n\n\n\nThis workshop has a fee of 2000kr and will be invoiced to the selected participants (Please note that NBIS cannot invoice individuals). Applications without complete invoice information will not be considered. Course fees cover all coffee breaks\, all lunches and 1 course dinner. \n\n\n\nCourse content\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\nCelltype prediction\n\n\n\nTrajectory inference analysis\n\n\n\nAnalysis of spatial transcriptomics datasets\n\n\n\nComparison of different analysis pipelines such as Seurat\, Scran and Scanpy\n\n\n\n\nWho can apply?\n\n\n\nThis is a national course. The course is open for PhD students\, postdocs\, group leaders and core facility staff within all Swedish universities. Even if we do accept application from other countries\, we give priority to applicants from Swedish universities prior to applicants from industry and academics from other countries. \n\n\n\nPractical exercises will be performed using either R or Python\, so we only accept students that fulfil the entry requirements below. \n\n\n\nEntry requirements\n\n\n\n\nYou are used to program in either R and/or Python\n\n\n\nYou already understand the basis of NGS technologies\n\n\n\nYou are able to analyse bulk RNA-sequencing data\n\n\n\nYou are used to navigate and use UNIX command line (bash)\n\n\n\nHave full access to your computer (admin permissions). Instructions on installation will be sent by email to accepted participants.\n\n\n\n\nDue to limited space the course can accommodate maximum of 25 participants. If we receive more applications\, participants will be selected based on several criteria. Selection criteria include correct entry requirements\, motivation to attend the course as well as gender and geographical balance.
URL:https://www.scilifelab.se/event/single-cell-rnaseq-data-analysis/
LOCATION:Air&Fire\, SciLifeLab Stockholm\, Tomtebodavägen 23A\, Solna\, Sweden
CATEGORIES:Course
ORGANIZER;CN="NBIS - National Bioinformatics Infrastructure Sweden":MAILTO:education@nbis.se
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