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DTSTAMP:20260628T132129Z
UID:1d0430e6-4983-42ca-a3f2-0ca33137672c
DTSTART:20261007T090000Z
DTEND:20261007T170000Z
DESCRIPTION:Understanding transcript diversity at the single-cell level is 
 increasingly important for researchers studying gene regulation\, cell ide
 ntity\, and disease mechanisms. Traditional short-read sequencing methods 
 limit insights into isoform variation\, which is widespread in complex euk
 aryotes. This training introduces Scywalker\, a tool for processing long-
 read single-cell RNA-Seq data (e.g.\, ONT or PacBio) to enable full-length
  transcript analysis. Aimed at researchers\, postdocs\, and bioinformatics
  support staff working with single-cell data\, the course provides a step-
 by-step walkthrough of the Scywalker pipeline and its outputs. The tool wa
 s designed to generate gene and transcript count matrices that can be used
  for downstream comparisons of gene and isoform expression across samples 
 and cell types. By the end of the course\, attendees will be equipped to u
 se and interpret the Scywalker output and assess the benefits of long-read
  sequencing in single-cell transcriptomics.
LOCATION:Antwerp - Campus Drie Eiken UAntwerpen\, Universiteitsplein 1
SUMMARY:Scywalker for processing long-read single-cell RNASeq data
URL;VALUE=URI:https://training.vib.be/all-trainings/scywalker-processing-lo
 ng-read-single-cell-rnaseq-data-1
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