Virtual course

Genome-resolved metagenomics bioinformatics

Learn about the tools, processes and analysis approaches used in the field of genome-resolved metagenomics.

This course will cover the use of publicly available resources to manage, share, analyse and interpret metagenomics data, focussing primarily on assembly-based approaches.

The virtually-delivered content will involve participants learning via pre-recorded lectures and live presentations, followed by live Q&As with the trainers. Practical experience will be developed in group activities and in computational exercises run using containerised tools on our virtual training infrastructure.


Participants will need to be available between the hours of 09:00-17:00 GMT each day of the course.

Who is this course for?

This course is aimed at life scientists who are working in the field of metagenomics and are currently in the early stages of data analysis. Participants should have some prior experience of using bioinformatics in their research.

The practical sessions in the course require a basic understanding of the Unix command line and the R statistics package. If you are not already familiar with these then please ensure that you complete these free tutorials before you attend the course:

What will I learn?

Learning outcomes

After this course you should be able to:

  • Conduct appropriate quality control and decontamination of metagenomic data and run simple assembly pipelines on short-read data
  • Utilise public datasets and resources to identify relevant data for analysis
  • Apply relevant tools in the analysis of metagenomic data
  • Submit metagenomics data to online repositories for sharing and future analysis
  • Apply knowledge in the areas of strain resolution and additional functional analysis

Course content

During this course you will learn about:


Vladimir Benes
Josephine Burgin
Juan Caballero Perez
Grisel Alejandra Escobar Zepeda
Tatiana Gurbich
Maira Ihsan
Varsha Kale
Jennifer Lu
Richard Leggett
Earlham Institute
Sebastien Raguideau
Warwick Medical School, UK
Lorna Richardson
Alexander Rogers
Chris Quince
Earlham Institute
This course has ended

31 October - 04 November 2022
Shereen Pethania

  • Patricia Carvajal Lopez
  • Lorna Richardson

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