Event Scientific training

Nanopore metagenomics 2023: from sample to analysis

FULLY BOOKED: In this in-person workshop, learn how to extract DNA from metagenomic samples,. prepare libraries, carry out nanopore sequencing and analyse data.

Start date: 18 July 2023
End date: 19 July 2023
Time: 09.30 - 16.00
Venue: Earlham Institute (Norwich UK)
Organiser: Richard Leggett

To join the waiting list, contact: training@earlham.ac.uk

Registration deadline: 12 June 2023
Cost: £250

About the event

This course is now fully booked. To join the waiting list,contact: training@earlham.ac.uk


The goal of this course is to provide an overview of lab and in-field, real-time nanopore sequencing using the Oxford Nanopore Technologies (ONT) platform.

This course will cover theory of experimental methods and sample collection, plus theory and hands-on experience of DNA extraction and library preparation.

The second part of the course will cover data analysis and visualisation providing hands-on opportunities including the use of QC tools, EI’s MARTi software and tools for Metagenome Assembled Genomes (MAGs), all delivered via virtual machines. You will also have the opportunity to discuss and apply lessons to your own projects with EI’s experts during an optional Q&A session.

 What will I learn?

  • Advantages and disadvantages of different extraction protocols
  • Familiarity with different DNA QC and library construction methods
  • Hands-on techniques for preparing samples for nanopore sequencing
  • Familiarity with nanopore sequencing outputs
  • Common analysis tools for alignment, assembly and classification of nanopore data
  • Capabilities of nanopore’s epi2me cloud-based data analysis platform
  • Effective use of MARTi software for real-time data analysis for species identification and quantification
  • Tools for assembly of Metagenome Assembled Genomes (MAGs)

Who is this training for?

You should be in the early planning stages of a project, wanting to understand the different approaches to sample preparation and explore options for comprehensive and rapid data analysis. 

Course prerequisites

Some basic level of experience with the Linux command line is useful, but not essential.

Necessary commands will be provided throughout the hands-on sessions.

Register today.

Registration deadline: 12 June 2023

Participation: Closed