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VERSION:2.0
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CALSCALE:GREGORIAN
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DTSTAMP:20260711T034812Z
UID:7fb97fd1-36af-4404-afae-cea1104c0bad
DTSTART:20251104T090000Z
DTEND:20251113T170000Z
DESCRIPTION:Single-cell RNA sequencing (scRNA-seq) has transformed transcri
 ptomics by enabling the study of gene expression at the resolution of indi
 vidual cells. This level of detail is essential for researchers aiming to 
 understand cellular heterogeneity\, identify novel cell types\, or explore
  dynamic biological processes such as development or disease progression. 
 However\, analyzing scRNA-seq data requires specialized tools and approach
 es that differ significantly from bulk RNA-seq workflows. This introducto
 ry course is designed for early-stage researchers\, including PhD students
 \, postdocs\, and technical staff\, who are new to single-cell transcripto
 mics.Participants will gain hands-on experience with the complete analysis
  pipeline - from quality control and normalization to clustering\, visuali
 zation\, and differential expression analysis. By the end of the course\, 
 attendees will be equipped with the foundational skills needed to analyze 
 and interpret scRNA-seq datasets using current best practices independentl
 y.
LOCATION:Leuven - Campus Gasthuisberg\, Herestraat 49
SUMMARY:Analysis of single-cell RNASeq data
URL;VALUE=URI:https://training.vib.be/all-trainings/analysis-single-cell-rn
 aseq-data-12
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