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DTSTAMP:20260715T164530Z
UID:157a36b3-d89c-445f-989e-4c6f68b48425
DTSTART:20250923T090000Z
DTEND:20250926T170000Z
DESCRIPTION:Single-cell RNASeq provides genome-wide transcriptome data from
  single cells. The data can be used to unravel heterogeneous cell populati
 ons\, to discover new cell types and states\, and to reconstruct developme
 ntal trajectories and fate decisions\, all previously masked in bulk trans
 criptome analyses. Novel methods are required to analyze scRNASeq data\, 
 and some of the underlying assumptions for the techniques developed for bu
 lk RNASeq experiments are no longer valid.In this course\, we will go thro
 ugh the whole pipeline to analyze short-read scRNASeq data.
LOCATION:Ghent - VIB/UGent FSVM II\, Technologiepark 75
SUMMARY:Analysis of single cell RNASeq data
URL;VALUE=URI:https://training.vib.be/all-trainings/analysis-single-cell-rn
 aseq-data-11
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