Introduction to Metagenomics

Author

Sina Beier, Rui Guan, Lajos Kalmar

Published

November 7, 2024

Overview

Metagenomics is an emerging technique to explore the composition of complex microbial communities, find species or genes of interest in samples with high diversity. This course covers multiple different approaches in metagenomics and covers the bioinformatics analysis part of those.

Learning Objectives
  • Questions you can ask and answers you may expect when using metagenomics approaches
  • Understand the fundamentals, advantages, disadvantages and potential biases of different approaches
  • Be aware of the requirements (knowledge, time, money, hardware) of different approaches
  • Learn about different bioinformatics pipelines in metagenimics data analysis

Target Audience

This course was designed for researchers, healthcare and public health professionals with extensive wet-lab but limited bioinformatics experience.

Prerequisites

The course builds up the knowledge gradually, making it suitable for everyone even without much previous knowledge. However, even if the course includes a short recap session, it is recommended to have a basic understanding of next-generation sequencing techniques, Unix / Linux comman line usage and R / RStudio usage.

Exercises

Exercises in these materials are labelled according to their level of difficulty:

Level Description
Exercises in level 1 are simpler and designed to get you familiar with the concepts and syntax covered in the course.
Exercises in level 2 combine different concepts together and apply it to a given task.
Exercises in level 3 require going beyond the concepts and syntax introduced to solve new problems.

Authors

About the authors:

  • Sina Beier
    Affiliation: Staff Bioinformatician, MRC Toxicology, University of Cambridge
    Roles: writing; coding; revision
  • Rui Guan
    Affiliation: Post-doc Bioinformatician, MRC Toxicology, University of Cambridge
    Roles: writing; coding; revision
  • Oliver Lorenz
    Affiliation: Bioinformatician, Wellcome Sanger Institute
    Roles: writing; coding
  • Lajos Kalmar
    Affiliation: Bioinformatics Facility Manager, MRC Toxicology, University of Cambridge
    Roles: writing - original draft; conceptualisation; coding

Citation

Please cite these materials if:

  • You adapted or used any of them in your own teaching.
  • These materials were useful for your research work.