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)
Registration deadline: 16 October 2026
Cost: TBC

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 

Basic experience with the programming language R: such as through completion of activities as they appear in Software Carpentry lesson(s): ‘Programming with R’ and ‘R for Reproducible Scientific Analysis’.  

Basic experience in using the command line interface: such as through completion of activities as they appear in the Software Carpentry lesson ‘The Unix Shell’.  

Familiarity with fundamental RNA-seq concepts: such as through completion of activities as they appear in the Data Camp ‘RNA-seq with Bioconductor in R’ course, chapter Introduction to RNA-Seq theory and workflow’

Once accepted, participants will be granted access to our pre-requisite module to aid their progress in the course. 

Register today.

Registration deadline: 16 October 2026

Register your interest in attending Single-cell Long-read Bioinformatics: from Data Generation to Visualisation today.

Research

Engineering Synthetic Plant Chromosomes (synPACs)

Advances in synthetic genomics have opened new pathways for engineering biology, enabling the rapid design and construction of biological systems at scale for innovative applications and to address fundamental scientific questions.

Project Summary.

Funded by: 

Advanced Research + Invention Agency (ARIA)

Synthetic Plants Programme

 

Conventional breeding has been essential for ensuring food security and improving crop traits over centuries. However, traditional plant breeding and selection can take decades to introduce beneficial traits, relying on random genetic mixing over multiple generations.  

Modern agriculture is facing significant challenges, from climate instability, soil degradation, changes in land use, and conflicts drastically impacting global food security. This requires us to rethink how we develop new crops to feed our growing populations, replace fossil fuels, and provide new platforms for biomanufacturing.

Advances in synthetic genomics have opened new pathways for engineering biology, enabling the rapid design and construction of biological systems at scale for innovative applications and to address fundamental scientific questions.

Funded by a multimillion pound grant from the UK Government’s Advanced Research + Invention Agency (ARIA) as part of the Synthetic Plants programme, a multidisciplinary collaboration of researchers from Earlham Institute, University of Manchester, and John Innes Centre is leveraging these advances to establish synthetic plant chromosome (synPAC) technologies.

The research team aims to develop critically needed synthetic chromosome technologies with a robust and reproducible engineering system to allow the targeted programming of plants at a scale that can transform food security. 

Building on natural processes, synPACs enable researchers to rapidly introduce multi-gene traits in a far more precise, controllable, and predictable fashion — offering an innovative alternative to conventional breeding methods.

Impact statement.

synPAC technologies have the power to remove breeding bottlenecks and provide powerful new ways of introducing novel traits to plants —such as producing essential nutrients or increased pest resistance—while maintaining the plant’s existing characteristics. 

Synthetic bacterial and yeast projects have shown the feasibility of constructing entire synthetic genomes, yielding promising results for both research and industry. 

Applying these breakthroughs to plants is the next logical step, filling a longstanding gap in agricultural innovation by unlocking engineering biology in plants at a previously inaccessible speed and scale.