Belgium
Scywalker for processing long-read single-cell RNASeq data
Date: 7 October 2026 @ 09:00 - 17:00
Language of instruction: English
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. 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.
Keywords: Artificial Inteligence, omics
Venue: Antwerp - Campus Drie Eiken UAntwerpen, Universiteitsplein 1
City: Antwerpen
Country: Belgium
Postcode: 2610
Learning objectives:
- Apply Scywalker to generate gene and transcript count matrices from raw long-read single-cell data
- Assess the suitability of Scywalker for your own single-cell transcriptomics projects.
- Explain the content and purpose of each output file generated by Scywalker
- Interpret Scywalker output to identify gene and isoform expression patterns across samples and cell types
- Recognize the advantages of long-read sequencing technologies (e.g. ONT PacBio) in capturing isoform diversity
- “Describe each step of the Scywalker pipeline used for processing long-read single-cell RNASeq data"
Organizer: VIB
Event types:
- Workshops and courses
Instructors: 
Peter De Rijk
Activity log
