Long-read Bioinformatics

Register here


11-13 October 2021

10am - 3pm each day (with 1hr for lunch)




24 for each workshop

You will be contacted by our finance team for full payment. Once payment is made, your place will be confirmed and full details sent by our training team.

Registration fee:

£150 - University of Edinburgh staff/students
£158 - Other university or registered charity staff/students
£195 - Industrial researchers


Contact our training team



Whole genome sequencing (WGS) has been revolutionised by the development of long-read sequencing technologies in the last few years. Driven in no small part by Oxford Nanopore technologies (https://nanoporetech.com/), we now have the ability to sequence long (mb+) single-molecule DNA fragments. Although these developments are expected to alleviate numerous computational challenges surrounding genome analysis they also bring some interesting bioinformatics challenges to which we have to adapt in order to get the most from this powerful technology.

This exciting new course aims to introduce the principles and practice using long-read data analysis with focus on Oxford Nanopore data. We will present the cutting edge software and best practices tried and tested by our expert bioinformaticians here at Edinburgh Genomics.

Who this course is for

Aside from a basic understanding of molecular biology, attendees must have a working knowledge of how to use the Linux BASH command line - our 1-day "Linux for bioinformatics" course is a suitable background.



Urmi Trivedi - Bioinformatician, Edinburgh Genomics

Workshop format

The workshop consists of presentations and hands-on tutorials.


Topics covered

  • Introduction to long read sequencing technologies
  • Long read data pre-processing (Nanopore)
  • Mapping to a reference genome (minimap2)
  • Structural variant detection using long reads (NGMLR, sniffles, cuteSV, SURVIVOR, IGV)
  • De novo genome assembly using long reads (flye, Redbean)
  • Assessment of genome assembly (QUAST/BUSCO)
  • Polishing of genome assembly (MarginPolish/HELEN)