Event Scientific training

Single-cell Long-read Bioinformatics: from Data Generation to Visualisation

Hands on training in long‑read single‑cell RNA‑seq, from experimental design to data interpretation

Start date: 17 November 2026
End date: 19 November 2026
Time: 09.30 - 17.00
Venue: Earlham Institute (Norwich UK)
Enquiries:

training@earlham.ac.uk 

Registration deadline: 16 October 2026
Cost: £375 Academic / £450 Industry

About the event

This course provides comprehensive end-to-end training on how to perform and analyse data from long-read single-cell RNA-seq experiments. 

Consisting of a mixture of conceptual and methodological lectures and hands-on bioinformatics sessions, we will provide an overview of the current long-read methods for single-cell experiments, data processing, through to data interpretation and presentation - including best practice and tips as learned first-hand by Earlham Institute’s faculty.   

What will I learn?

  • Detailed overview of single-cell long-read sequencing technologies
  • Optimal method selection across diverse experimental applications
  • Best practices in experimental design and data management
  • End-to-end workflow for generating, processing, and interpreting long-read RNA-seq data - specifically in the context of single-cell experiments, including:
    • Quality control,
    • Mapping,
    • Annotation,
    • Quantification,
    • Dataset Integration,
    • Single Cell Clustering and Annotation,
    • Data Visualisation. 
       

Who is this training for? 

Researchers who are new to and are involved in design or delivery of project(s) centred around single-cell long-read sequencing. We particularly encourage those in the grant application or experimental design stages. 

Course prerequisites 

You should already have:

  • Understanding of the key conceptual differences between bulk RNA-seq and single-cell RNA-seq
  • Basic familiarity with laboratory methods commonly used in single-cell research, including cell isolation, cDNA generation, and library preparation workflows (e.g. 10x Genomics)
  • Basic understanding of key molecular biology concepts underpinning scRNA-seq, including mRNA capture, reverse transcription, the role of cell barcodes, and unique molecular identifiers (UMIs)
  • Basic familiarity with key concepts in standard (i.e. short-read) scRNA-seq data analysis, including the structure of single-cell gene expression data and common quality control metrics.

Registrants will be granted access to our pre-requisite materials nearer to the event to ensure all participants are familiar with the above concepts. 

Review of these pre-requisite materials MUST be completed before the course takes place. It is anticipated that this should require no longer than 4 hours and does not need to be completed all at once. 

Register today.

Registration deadline: 16 October 2026

Participation: First come, first served