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DTSTAMP:20260904T184744Z
UID:3d312c62-e721-4965-8fa0-fc4d5027566e
DTSTART:20261019T090000Z
DTEND:20261021T170000Z
DESCRIPTION:Objectives\n- Understand and learn the main steps of scRNA-seq 
 data analysis\, up to marker gene detection and cell type identification.\
 n- Be able to use the Seurat package on a small test dataset\, from count 
 matrices to clustering and cluster annotation.\n- Understand the basics of
  the analysis in order to apply them to one’s own dataset.\n\nCourse Con
 tent\nI. Introduction\n- Single-cell RNA sequencing\n- From raw sequencing
  data to count matrices\n- Software tools\n\nII. Preprocessing of the expr
 ession matrix (Theory and Practice)\n- Quality control\n- Normalization\n-
  Dimensionality reduction (HVG\, PCA\, UMAP)\n- Detection of expression bi
 ases\n\nIII. Annotation (Theory and Practice)\n- Clustering\n- Marker gene
 s\n- Cell type identification\n- Analysis of marker gene lists with the R 
 package ClusterProfiler\n\nIV. Practical Workshop “Bring your own data
 ”\n- Semi-autonomous execution of primary analysis on learners’ own da
 ta
LOCATION:9\, rue Bias
SUMMARY:Introduction to single-cell RNAseq analysis
URL;VALUE=URI:https://pf-bird.univ-nantes.fr/training/singlecell/
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