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UID:152645-1695024000-1695402000@www.scilifelab.se
SUMMARY:Epigenomics Data Analysis: from Bulk to Single Cell (ONLINE)
DESCRIPTION:National workshop open for PhD students\, postdocs\, researchers and other employees within Swedish academia. This course is run by the National Bioinformatics Infrastructure Sweden (NBIS). \n\n\n\n\n\n\n\nImportant dates\n\n\n\nApplication opens:  now \n\n\n\nApplication closes: 2023-09-04 \n\n\n\nConfirmation to accepted students: 2023-09-08 \n\n\n\n\n\n\n\nResponsible teachers\n\n\n\nAgata Smialowska\, Jakub Orzechowski Westholm\, Vincent van Hoef  \n\n\n\nPlease contact edu.epigenomics@nbis.se for course specific questions \n\n\n\n\n\n\n\n\n\nApplication\n\n\n\n\n\nCourse website\n\n\n\n\n\n\n\n\n\n\n\n\n\nWorkshop 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 2000 SEK.  \n\n\n\n*Please note that NBIS cannot invoice individuals. \n\n\n\n\n\n\n\nWorkshop content\n\n\n\nThis workshop aims to introduce the best practice bioinformatics methods for processing\, analyses\, visualisation and integration of epigenomics and functional genomics data. \n\n\n\nTopics covered include: \n\n\n\n\nData processing and analyses for differential DNA methylation with Illumina EPIC arrays and Bisulfite-seq;\n\n\n\nChIP-seq: peak calling\, peak independent / dependent quality metrics\, differential binding analysis; DNA motif enrichment;\n\n\n\nATAC-seq: peak calling\, peak independent / dependent quality metrics\, differential accessibility analysis;\n\n\n\nQuantitative ChIP-seq using spike-ins;\n\n\n\nCUT&Tag / CUT&RUN: Novel methods to investigate protein-chromatin interactions;\n\n\n\nFunctional analysis\, including finding nearest genes and custom features\, GO terms and Reactome pathways enrichment;\n\n\n\nBasic multi-omics exploration and integration;\n\n\n\nVisualisations of epigenomics datasets;\n\n\n\nIntroduction to analysis of single cell functional genomics data (scATAC-seq);\n\n\n\nIntroduction to nf-core pipelines for processing and analysis of epi- and functional genomics data : Methylseq\, ChIP-seq\, ATAC-seq.\n\n\n\n\n\n\n\n\nEntry requirements\n\n\n\nRequired for being able to follow the workshop and complete the computer exercises: \n\n\n\n\nBYOL\, bring your own laptop with R and RStudio installed;\n\n\n\nBasic knowledge in Linux;\n\n\n\nBasic programming experience\, preferably in R.\n\n\n\n\n\n\n\n\nDesirable \n\n\n\n\nExperience working on the SNIC center Uppmax or another HPC. We encourage participants to run the linked Uppmax tutorial before the workshop;\n\n\n\nPrevious experience with NGS data analyses;\n\n\n\nCompleting NBIS workshops “Introduction to Bioinformatics using NGS data” and “R Programming Foundations for Life Scientists” or equivalent.\n\n\n\n\n\n\n\n\nDue to limited capacity the workshop 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 workshop as well as gender and geographical balance. \n\n\n\nPlease note that NBIS training events do not provide any formal university credits. \n\n\n\nThis training content is estimated to correspond to a 1.5 HPs\, however the estimated credits are just guidelines. If formal credits are crucial\, participants need to confer with the home department whether the course is valid for formal credits.
URL:https://www.scilifelab.se/event/epigenomics-data-analysis-from-bulk-to-single-cell-online-3/
LOCATION:Online event via Zoom
CATEGORIES:Course
ORGANIZER;CN="NBIS - National Bioinformatics Infrastructure Sweden":MAILTO:education@nbis.se
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