Workshop
Scywalker for processing long-read single-cell RNASeq data
7 okt. 2026 13:00 - 17:00
Understanding transcript diversity at the single-cell level is key when you study gene regulation, cell identity, or disease mechanisms. Traditional short-read sequencing limits your ability to capture isoform variation, which is widespread in complex eukaryotes.
Praktische info:
7 okt. 2026 13:00 - 17:00
4 uur
Antwerp - Campus Drie Eiken UAntwerpen | Neuron (room D.VA.224)
Engels
Doelgroep: PhD, Postdoc, staff scientist, group leader or expert, technical support etc
Inschrijven?
- Voorwaarden: Participants are requested to bring their own laptop, Fiji pre-installed.
- Prijs: Free of charge
georganiseerd door:
Leertraject
You will learn how to interpret the results of Scywalker, a tool designed for processing long-read single-cell RNA-seq data (e.g., ONT or PacBio) to enable full-length transcript analysis. You will follow a step-by-step walkthrough of the Scywalker pipeline to generate gene and transcript count matrices for downstream comparisons of gene and isoform expression across samples and cell types.
Learning outcomes
- Describe each step of the Scywalker pipeline used for processing long-read single-cell RNASeq data.
- Explain the content and purpose of each output file generated by Scywalker.
- Recognize the advantages of long-read sequencing technologies (e.g., ONT, PacBio) in capturing isoform diversity.
- Interpret Scywalker output to identify gene and isoform expression patterns across samples and cell types.
- Assess the suitability of Scywalker for your own single-cell transcriptomics projects.
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