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UID:187025@bioscience.fi
DTSTART;TZID=Europe/Helsinki:20260916T080000
DTEND;TZID=Europe/Helsinki:20260917T160000
DTSTAMP:20260616T114854Z
URL:https://bioscience.fi/events/single-cell-rna-seq-data-analysis-course/
SUMMARY:Single-cell RNA-seq Data Analysis Course
DESCRIPTION:16th–17th September\nOnsite event\nin Teutori and Dentalia\, 
 Turku\nFlyer\n\nThis course is a hands-on\, beginner-friendly course cover
 ing the core single-cell RNA-seq analysis workflow\, designed for research
 ers who are new to scRNA-seq data analysis. Participants watch pre-recorde
 d lectures before attending\, so that classroom time is used for exercises
 \, discussion\, and guided analysis. In addition to the core workflow\, th
 e course includes manual cell type annotation and an introduction to avail
 able bioinformatics computing resources. No prior knowledge of Unix\, R\, 
 or Python is required. Hands-on exercises use a graphical\, user-friendly 
 analysis platform and the analysis platform remains available for your own
  data after the course. Study points are awarded upon completion.\n\nCours
 e topics\nQuality control and filtering\nNormalisation and variable gene s
 election\nDimensionality reduction (PCA)\nClustering and UMAP visualizatio
 n\nMarker gene identification\nAutomated cell type annotation (SingleR)\nM
 anual cell type annotation\nTwo-sample integration and comparison\nDiffere
 ntial expression analysis\nELIXIR and CSC computing resources\n\nSeats are
  limited to 30 participants.\nRegistration in http://bit.ly/scRNAdata\n\nM
 ore information from Iivari Kleino (Iivari.kleino@utu.fi)
ATTACH;FMTTYPE=image/jpeg:https://bioscience.fi/wp-content/uploads/2026/06
 /Thumbnail-Single-cell_RNA-seq_Data_Analysis.jpg
CATEGORIES:Turku Bioscience Events
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