Resource Centre
Workflow 
Workflow overview: single-cell transcriptomics
Video 
Integrating 10x Genomics single-cell and spatial profiling with Oxford Nanopore long-read sequencing
Video 
Using long-read sequencing for translational health research
Video 
Untangling heterogeneity in DNA replication with nanopore sequencing
Video 
Uncovering RNA splicing’s cell-specific impact on clonal blood disorders with GoT-Splice
Case study 
Case study: ultra-rich nanopore data offers unprecedented insights into the transcriptomes of single cells
Publication 
Transposable element expression at unique loci in single cells with CELLO-seq
Publication 
Transcriptome-wide profiling of alternative splicing regulators with CRISPore-seq
Video 
Taking your single-cell sequencing to new lengths with Oxford Nanopore
Publication 
Systematic characterisation of full-length RNA isoforms in human colorectal cancer at single-cell resolution
Publication 
A spatially resolved brain region- and cell type-specific isoform atlas of the postnatal mouse brain
Publication 
Spatial isoform sequencing at sub-micrometer single-cell resolution reveals novel patterns of spatial isoform variability in brain cell types
Publication 
A single fiber view of the nucleosome organization in eukaryotic chromatin
Poster 
Single-cell transcriptomics with full-length cDNA sequencing provides unique insights into cellular diversity
Publication 
Single cell transcriptome sequencing on the Nanopore platform with ScNapBar
Video 
Single-cell transcriptome sequencing
Publication 
Single-cell third-generation sequencing-based multi-omics uncovers gene expression changes governed by ecDNA and structural variants in cancer cells
Publication 
Single-cell rapid capture hybridization sequencing (scRaCH-seq) to reliably detect isoform usage and coding mutations in targeted genes at a single-cell level
Publication 
Single-Cell Omics for Transcriptome CHaracterization (SCOTCH): isoform-level characterisation of gene expression through long-read single-cell RNA seq
Publication 
Single-cell multiomics reveal the scale of multi-layered adaptations enabling CLL relapse during venetoclax therapy
