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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260822T223031Z
UID:ce1fc8a4-4e6c-4aea-88f1-b56c45a96503
DTSTART:20190829T090000Z
DTEND:20190830T170000Z
DESCRIPTION:Today it is possible to obtain genome-wide transcriptome data f
 rom single cells using high-throughput sequencing (scRNA-seq). The main ad
 vantage of scRNA-seq is that the cellular resolution and the genome wide s
 cope makes it possible to address issues that are intractable using other 
 methods\, e.g. bulk RNA-seq or single-cell RT-qPCR. These scRNA-seq datase
 ts can be used to unravel heterogenous cell populations\, for the discover
 y of new cell types and states\, the reconstruction of developmental traje
 ctories and fate decisions\, all previously masked in bulk transcriptome a
 nalyses. However\, to analyze scRNA-seq data\, novel methods are required 
 and some of the underlying assumptions for the methods developed for bulk 
 RNA-seq experiments are no longer valid.
LOCATION:Ghent - iGent\, Technologiepark-Zwijnaarde 126
SUMMARY:Analysis of single cell RNA-Seq data from 10x Genomics
URL;VALUE=URI:https://training.vib.be/all-trainings/analysis-single-cell-rn
 a-seq-data-10x-genomics
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