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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260815T082232Z
UID:88cf3b3f-0eef-4d2f-bed1-7de9a7bf714a
DTSTART:20241105T090000Z
DTEND:20241108T170000Z
DESCRIPTION:Single cell RNASeq delivers genome-wide transcriptome data from
  single cells. The data can be used to unravel heterogenous cell populatio
 ns\, to discover new cell types and states\, reconstruct developmental tra
 jectories and fate decisions\, all previously masked in bulk transcriptome
  analyses. To analyze scRNASeq data\, novel methods are required and some 
 of the underlying assumptions for the methods developed for bulk RNASeq ex
 periments are no longer valid.
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-8
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