Nanopore Sequencing and Data Analysis

  • Sheffield - 3rd /4th December 2019
  • 09:00am - 5pm
  • E13 Dainton Building, University of Sheffield / SITraN

N.B. This is a “Hands-On” course where you will perform the sequencing!!

N.B. Contact us if you would like to bring your own microbiome DNA sample to sequence!


This is a hands-on course with Oxford Nanopore technology, therefore the fee for this course reflects reagent costs.

  • £400 for Academic participants
  • £550 for Industry and commercial participants

Click here to book your place on the course

Who should attend this course?

Wet Lab Researchers and Bioinformaticians who want to learn about Oxford Nanopore sequencing technology and the subsequent analysis of the data.

Objectives:- After this course you should be able to:

  • Sequence a library on a Oxford Nanopore MinION sequencing device
  • Understand Nanopore Sequencing and the data it generates

Provided Materials:- These materials are provided in the course cost

  • One MinION sequencer to use for the duration of the course between 3 attendees
  • One laptop to run the sequecning to use for the duration of the course between 3 attendees
  • One MinION flow cell (between 3)
  • 16S Sequencing Reagents
  • Microbial Community DNA Standard (or bring your own DNA sample!)
  • Printed booklet with step-by-step wet-lab and Bioinformatics protocols

Trainee Supplied:- These materials are not provided in the course cost

  • Personal laptop to be used for data analysis

Aims:- During this course you will learn about:

  • The science behind nanopore sequencing
  • How to prepare a 16S amplicon library for sequencing
  • Loading a library onto a MinION flow cell
  • Sequencing on the MinION platform
  • Basics of nanopore data
  • Analysis of our 16S data using Galaxy


  • No prior programming experience is required
  • No prior laboratory experience is required


  • Matthew Parker, Clinical Bioinformatics Core Scientist
  • Matthew Wyles, Sequencing Specialist

Timetable (provisional)

Day 1

  • 09:00 - 14:00 Wet lab

Day 2

  • 09:00 - 12:00 Bioinformatics