In the last few years, the human microbiome has received great attention by the community due to its fundamental role in health and disease. Advancements in the field have also been possible due to technological improvements in (shotgun) metagenomics, including the development and application of computational approaches.

This webinar will introduce metagenomics for characterisation of the human microbiome with focus on computational tools to achieve strain-level resolution. This will comprise pipelines for generation of profiles as well as extraction of draft genomes. It will also present some recent analyses aiming at conducting large-scale scenario investigations, including the use of machine learning approaches and the integration of human microbiomes with other sources.

You may either watch the entire presentation from the introduction or navigate directly to a specific section by clicking the links provided below:

• Introduction

• How can we study the microbiome?

• The shotgun metagenomics workflow

• Microbiome and colorectal cancer (CRC)

• Strain-resolved metagenomics

• Toward full mappability of the human microbiome

• The curated Food Metagenomic Data resource

• Q&A

Who is this course for?

This course is designed for anyone eager to learn more about the applications of metagenomics in modern microbial-omics studies. An undergraduate level of knowledge in microbiology is recommended, but metagenomic-specific knowledge is not required.

This event is part of a webinar series that highlights contemporary concepts, methodologies, and valuable resources for examining microbial ecosystems and their influence on the environment and human health. For additional topics within this series and registration information, please visit the following link: Exploring microbial ecosystems.

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Outcomes

By the end of the webinar you will be able to:

• Explain the importance of strain-level analysis for human microbiome studies

• Identify some computational approaches for strain-resolved metagenomics

• Adapt analyses involving large-scale scenarios and multiple sources

DOI: 10.6019/TOL.strain-resolved-metagenomics-w.2024.00001.1

This webinar took place on 13 March 2024. Please click the 'Watch video' button to view the recording.

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